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GitHub

API Documentation

Base.size — Method
size(::PlotlyBase.Plot)

Return the size of the plot in pixels. Obtained from the layout.width and layout.height fields.

source
PlotlyBase.addtraces! — Method
addtraces!(p::Plot, i::Int, traces::AbstractTrace...)

Add trace(s) at a specified location in the Plot's array of data.

The new traces will start at index p.data[i]

source
PlotlyBase.circle — Function

Draw a circle from ((x0+x1)/2, (y0+y1)/2)) with radius (|(x0+x1)/2 - x0|, |(y0+y1)/2 -y0)|)

source
PlotlyBase.extendtraces! — Function
extendtraces!(::Plot, ::Dict{Union{Symbol,AbstractString},AbstractVector{Vector{Any}}}), indices, maxpoints)

Extend one or more traces with more data. A few notes about the structure of the update dict are important to remember:

  • The keys of the dict should be of type Symbol or AbstractString specifying the trace attribute to be updated. These attributes must already exist in the trace
  • The values of the dict must be a Vector of Vector of data. The outer index tells Plotly which trace to update, whereas the Vector at that index contains the value to be appended to the trace attribute.

These concepts are best understood by example:

# adds the values [1, 3] to the end of the first trace's y attribute and doesn't
+API Docs · PlotlyJS
GitHub
API Documentation
Base.size — Method
size(::PlotlyBase.Plot)
Return the size of the plot in pixels. Obtained from the layout.width and layout.height fields.
source
PlotlyBase.addtraces! — Method
addtraces!(p::Plot, i::Int, traces::AbstractTrace...)
Add trace(s) at a specified location in the Plot's array of data.
The new traces will start at index p.data[i]
source
PlotlyBase.circle — Function
Draw a circle from ((x0+x1)/2, (y0+y1)/2)) with radius  (|(x0+x1)/2 - x0|, |(y0+y1)/2 -y0)|) 
source
PlotlyBase.extendtraces! — Function
extendtraces!(::Plot, ::Dict{Union{Symbol,AbstractString},AbstractVector{Vector{Any}}}), indices, maxpoints)
Extend one or more traces with more data. A few notes about the structure of the update dict are important to remember:
  • The keys of the dict should be of type Symbol or AbstractString specifying the trace attribute to be updated. These attributes must already exist in the trace
  • The values of the dict must be a Vector of Vector of data. The outer index tells Plotly which trace to update, whereas the Vector at that index contains the value to be appended to the trace attribute.
These concepts are best understood by example:
# adds the values [1, 3] to the end of the first trace's y attribute and doesn't
 # remove any points
 extendtraces!(p, Dict(:y=>Vector[[1, 3]]), [1], -1)
 extendtraces!(p, Dict(:y=>Vector[[1, 3]]))  # equivalent to above
# adds the values [1, 3] to the end of the third trace's marker.size attribute
 # and [5,5,6] to the end of the 5th traces marker.size -- leaving at most 10
 # points per marker.size attribute
-extendtraces!(p, Dict("marker.size"=>Vector[[1, 3], [5, 5, 6]]), [3, 5], 10)
source
PlotlyBase.hline — Function
hline(y, fields::AbstractDict=Dict{Symbol,Any}(); kwargs...)
Draw horizontal lines at each point in y that span the width of the plot
source
PlotlyBase.movetraces! — Method
movetraces!(p::Plot, src::AbstractVector{Int}, dest::AbstractVector{Int})
Move traces from indices src to indices dest.
Both src and dest must be Vector{Int}
source
PlotlyBase.prependtraces! — Function
prependtraces!(p::Plot, update::AbstractDict, indices::AbstractVector{Int}=[1],
-                maxpoints=-1)
The API for prependtraces is equivalent to that for extendtraces except that the data is added to the front of the traces attributes instead of the end. See Those docstrings for more information
source
PlotlyBase.relayout! — Function
relayout!(l::Layout, update::AbstractDict=Dict(); kwargs...)
Update l using update dict and/or kwargs
source
PlotlyBase.relayout! — Method
relayout!(p::Plot, update::AbstractDict=Dict(); kwargs...)
Update p.layout on using update dict and/or kwargs
source
PlotlyBase.restyle! — Function
restyle!(p::Plot, update::AbstractDict=Dict(); kwargs...)
Update all traces using update dict and/or kwargs
source
PlotlyBase.restyle! — Function
restyle!(gt::GenericTrace, i::Int=1, update::AbstractDict=Dict(); kwargs...)
Update trace gt using dict/kwargs, assuming it was the ith ind in a call to restyle!(::Plot, ...)
source
PlotlyBase.restyle! — Function
restyle!(p::Plot, ind::Int=1, update::AbstractDict=Dict(); kwargs...)
Update p.data[ind] using update dict and/or kwargs
source
PlotlyBase.restyle! — Function
restyle!(::Plot, ::AbstractVector{Int}, ::AbstractDict=Dict(); kwargs...)
Update specific traces at p.data[inds] using update dict and/or kwargs
source
PlotlyBase.restyle! — Function
The restyle! method follows the semantics of the Plotly.restyle function in plotly.js. Specifically the following rules are applied when trying to set an attribute k to a value v on trace ind, which happens to be the ith trace listed in the vector of inds (if ind is a scalar then i is always equal to 1)
  • if v is an array or a tuple (both translated to javascript arrays when
json(v) is called) then p.data[ind][k] will be set to v[i]. See examples below
  • if v is any other type (any scalar type), then k is set directly to v.
Examples
# set marker color on first two traces to be red
+extendtraces!(p, Dict("marker.size"=>Vector[[1, 3], [5, 5, 6]]), [3, 5], 10)
source
PlotlyBase.hline — Function
hline(y, fields::AbstractDict=Dict{Symbol,Any}(); kwargs...)
Draw horizontal lines at each point in y that span the width of the plot
source
PlotlyBase.movetraces! — Method
movetraces!(p::Plot, src::AbstractVector{Int}, dest::AbstractVector{Int})
Move traces from indices src to indices dest.
Both src and dest must be Vector{Int}
source
PlotlyBase.prependtraces! — Function
prependtraces!(p::Plot, update::AbstractDict, indices::AbstractVector{Int}=[1],
+                maxpoints=-1)
The API for prependtraces is equivalent to that for extendtraces except that the data is added to the front of the traces attributes instead of the end. See Those docstrings for more information
source
PlotlyBase.relayout! — Function
relayout!(l::Layout, update::AbstractDict=Dict(); kwargs...)
Update l using update dict and/or kwargs
source
PlotlyBase.relayout! — Method
relayout!(p::Plot, update::AbstractDict=Dict(); kwargs...)
Update p.layout on using update dict and/or kwargs
source
PlotlyBase.restyle! — Function
restyle!(p::Plot, update::AbstractDict=Dict(); kwargs...)
Update all traces using update dict and/or kwargs
source
PlotlyBase.restyle! — Function
restyle!(gt::GenericTrace, i::Int=1, update::AbstractDict=Dict(); kwargs...)
Update trace gt using dict/kwargs, assuming it was the ith ind in a call to restyle!(::Plot, ...)
source
PlotlyBase.restyle! — Function
restyle!(::Plot, ::AbstractVector{Int}, ::AbstractDict=Dict(); kwargs...)
Update specific traces at p.data[inds] using update dict and/or kwargs
source
PlotlyBase.restyle! — Function
restyle!(p::Plot, ind::Int=1, update::AbstractDict=Dict(); kwargs...)
Update p.data[ind] using update dict and/or kwargs
source
PlotlyBase.restyle! — Function
The restyle! method follows the semantics of the Plotly.restyle function in plotly.js. Specifically the following rules are applied when trying to set an attribute k to a value v on trace ind, which happens to be the ith trace listed in the vector of inds (if ind is a scalar then i is always equal to 1)
  • if v is an array or a tuple (both translated to javascript arrays when
json(v) is called) then p.data[ind][k] will be set to v[i]. See examples below
  • if v is any other type (any scalar type), then k is set directly to v.
Examples
# set marker color on first two traces to be red
 restyle!(p, [1, 2], marker_color="red")
 
 # set marker color on trace 1 to be green and trace 2 to be red
@@ -23,8 +23,8 @@
 # sets marker color on trace 1 to ["red", "green"]
 # sets marker color on trace 2 to "blue"
 # sets marker color on trace 3 to ["red", "green"]
-restyle!(p, 1:3, marker_color=(["red", "green"], "blue"))
source
PlotlyBase.sizes — Function
Given the number of rows and columns, return an NTuple{4,Float64} containing (width, height, vspace, hspace), where width and height are the width and height of each subplot and vspace and hspace are the vertical and horizonal spacing between subplots, respectively.
source
PlotlyBase.stem — Method
stem(; y, stem_color, stem_thickness, kwargs...)
-
Creates a "stem" or "lollipop" trace. It is implemented using plotly.js's scatter type, using the error bars to draw the stem.
Keyword Arguments:
  • All properties accepted by scatter except error_y, which is used to draw   the stems
  • stem_color - sets the color of the stems
  • stem_thickness - sets the thickness of the stems
source
PlotlyBase.sizes — Function
Given the number of rows and columns, return an NTuple{4,Float64} containing (width, height, vspace, hspace), where width and height are the width and height of each subplot and vspace and hspace are the vertical and horizonal spacing between subplots, respectively.
source
PlotlyBase.stem — Method
stem(; y, stem_color, stem_thickness, kwargs...)
+
Creates a "stem" or "lollipop" trace. It is implemented using plotly.js's scatter type, using the error bars to draw the stem.
Keyword Arguments:
  • All properties accepted by scatter except error_y, which is used to draw   the stems
  • stem_color - sets the color of the stems
  • stem_thickness - sets the thickness of the stems
source
PlotlyBase.to_html — Method
to_html(
     io::IO,
     p::Plot;
     autoplay::Bool=true,
@@ -35,7 +35,7 @@
     animation_opts::Union{Dict,Missing}=missing,
     default_width::String="100%",
     default_height::String="100%"
-)
  • io: IO stream to write to
  • p: Plot to save
  • autoplay: Should animations start automatically
  • include_plotlyjs: How to include plotly.js. Options are
    • cdn: include a <script> tag to load plotly.js from cdn. Output will be standalone
    • require: load using requirejs. Useful in Jupyter notebooks
    • require-loaded: assume a plotly statement has already loaded via requirejs (don't load it in context of this plot)
    • directory: hardcode <script src="plotly.min.js> – will only work when the plotly.min.js file is in the same directory as the output file
    • anything ending in js: we assume you give us the path to the plotly.js file. We will read it in and include it inline in the output. Works best when points to a minified file (plotly.min.js)
  • include_mathjax: How mathjax should be included. Options are
    • string ending in .js: we load via <script src="$(include_mathjax)">. You are responsible for making sure it resolves
    • anything else: we load via cdn for you
  • post_script: arbitrary javascript to run after plotly.js finishes drawing the plot
  • full_html: include all parts necessary for standalone html file
  • animation_opts: extra options used to control animation. included in addFrames call after the actual frames. See plotly.js docs for more info on addFrames
  • default_width: valid css specifier for width
  • default_height: valid css specifier for height
source
PlotlyBase.trace_map — Function
trace_map(p::Plot, axis::Symbol=:x)
Return an array of length(p.data) that maps each element of p.data into an integer for which number axis of kind axis that trace belogs to. axis can either be x or y. If x is given, return the integer for which x-axis the trace belongs to. Similar for y.
source
PlotlyBase.update! — Function
Apply both restyle! and relayout! to the plot. Layout arguments are specified by passing an instance of Layout to the layout keyword argument.
The update Dict (optional) and all keyword arguments will be passed to restyle
Example
julia> p = Plot([scatter(y=[1, 2, 3])], Layout(yaxis_title="this is y"));
+)
  • io: IO stream to write to
  • p: Plot to save
  • autoplay: Should animations start automatically
  • include_plotlyjs: How to include plotly.js. Options are
    • cdn: include a <script> tag to load plotly.js from cdn. Output will be standalone
    • require: load using requirejs. Useful in Jupyter notebooks
    • require-loaded: assume a plotly statement has already loaded via requirejs (don't load it in context of this plot)
    • directory: hardcode <script src="plotly.min.js> – will only work when the plotly.min.js file is in the same directory as the output file
    • anything ending in js: we assume you give us the path to the plotly.js file. We will read it in and include it inline in the output. Works best when points to a minified file (plotly.min.js)
  • include_mathjax: How mathjax should be included. Options are
    • string ending in .js: we load via <script src="$(include_mathjax)">. You are responsible for making sure it resolves
    • anything else: we load via cdn for you
  • post_script: arbitrary javascript to run after plotly.js finishes drawing the plot
  • full_html: include all parts necessary for standalone html file
  • animation_opts: extra options used to control animation. included in addFrames call after the actual frames. See plotly.js docs for more info on addFrames
  • default_width: valid css specifier for width
  • default_height: valid css specifier for height
source
PlotlyBase.trace_map — Function
trace_map(p::Plot, axis::Symbol=:x)
Return an array of length(p.data) that maps each element of p.data into an integer for which number axis of kind axis that trace belogs to. axis can either be x or y. If x is given, return the integer for which x-axis the trace belongs to. Similar for y.
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PlotlyBase.update! — Function
Apply both restyle! and relayout! to the plot. Layout arguments are specified by passing an instance of Layout to the layout keyword argument.
The update Dict (optional) and all keyword arguments will be passed to restyle
Example
julia> p = Plot([scatter(y=[1, 2, 3])], Layout(yaxis_title="this is y"));
 
 julia> print(json(p, 2))
 {
@@ -92,10 +92,14 @@
       }
     }
   ]
-}
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PlotlyBase.vline — Function
vline(x, fields::AbstractDict=Dict{Symbol,Any}(); kwargs...)
Draw vertical lines at each point in x that span the height of the plot
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PlotlyBase.GenericTrace — Method
GenericTrace(df, x, y; kwargs...)
-
Pass the provided values of x and y as keyword arguments for constructing the trace from df. See other method for more information
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PlotlyBase.GenericTrace — Method
GenericTrace(df, y; kwargs...)
-
Pass the provided value y as keyword argument for constructing the trace from df. See other method for more information
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PlotlyBase.GenericTrace — Method
GenericTrace(df; group, kind, kwargs...)
-
Build a trace of kind kind, using the columns of df where possible. In particular for all keyword arguments, if the value of the keyword argument is a Symbol and matches one of the column names of df, replace the value of the keyword argument with the column of df
If group is passed and is a Symbol that is one of the column names of df, then call by(df, group) and construct one trace per SubDataFrame, passing all other keyword arguments. This means all keyword arguments are passed applied to all traces
Also, when using this routine you can pass a function as a value for any keyword argument. This function will be replaced by calling the function on the DataFrame. For example, if I were to pass name=(df) -> "Wage (average = $(mean(df[!, :X1])))" then the name attribute on the trace would be replaced by the  Wage (average = XX), where XX is the average of the X1 column in the DataFrame.
The ability to pass functions as values for keyword arguments is particularly useful when using the group keyword arugment, as the function will be applied to each SubDataFrame. In the example above, the name attribute would set a different mean for each group.
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PlotlyBase.Inset — Type
Parameters
  • cell: index of the subplot cell to overlay inset axes onto.
  • kind: Subplot kind (see Spec docs)
  • l: padding left of inset in fraction of cell width
  • w: inset width in fraction of cell width ('to_end': to cell right edge)
  • b: padding bottom of inset in fraction of cell height
  • h: inset height in fraction of cell height ('to_end': to cell top edge)
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PlotlyBase.vline — Function
vline(x, fields::AbstractDict=Dict{Symbol,Any}(); kwargs...)
Draw vertical lines at each point in x that span the height of the plot
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PlotlyBase.GenericTrace — Method
GenericTrace(df, x, y; kwargs...)
+
Pass the provided values of x and y as keyword arguments for constructing the trace from df. See other method for more information
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PlotlyBase.GenericTrace — Method
GenericTrace(df, y; kwargs...)
+
Pass the provided value y as keyword argument for constructing the trace from df. See other method for more information
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PlotlyBase.GenericTrace — Method
GenericTrace(df; group, kind, kwargs...)
+
Build a trace of kind kind, using the columns of df where possible. In particular for all keyword arguments, if the value of the keyword argument is a Symbol and matches one of the column names of df, replace the value of the keyword argument with the column of df
If group is passed and is a Symbol that is one of the column names of df, then call by(df, group) and construct one trace per SubDataFrame, passing all other keyword arguments. This means all keyword arguments are passed applied to all traces
Also, when using this routine you can pass a function as a value for any keyword argument. This function will be replaced by calling the function on the DataFrame. For example, if I were to pass name=(df) -> "Wage (average = $(mean(df[!, :X1])))" then the name attribute on the trace would be replaced by the  Wage (average = XX), where XX is the average of the X1 column in the DataFrame.
The ability to pass functions as values for keyword arguments is particularly useful when using the group keyword arugment, as the function will be applied to each SubDataFrame. In the example above, the name attribute would set a different mean for each group.
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PlotlyBase.Inset — Type
Parameters
  • cell: index of the subplot cell to overlay inset axes onto.
  • kind: Subplot kind (see Spec docs)
  • l: padding left of inset in fraction of cell width
  • w: inset width in fraction of cell width ('to_end': to cell right edge)
  • b: padding bottom of inset in fraction of cell height
  • h: inset height in fraction of cell height ('to_end': to cell top edge)
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PlotlyBase.Plot — Type
Plot(d, x, y; ...)
+Plot(d, x, y, l; kwargs...)
+
Construct a plot from df, passing the provided values of x and y as keyword arguments. See docstring for other method for more information.
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PlotlyBase.Plot — Type
Plot(fs, x0, x1; ...)
+Plot(fs, x0, x1, l; config, kwargs...)
+
For each function in f in fs, construct a scatter trace that plots f from x0 to x1, using the layout l. All keyword arguments are applied to all constructed traces.
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PlotlyBase.Plot — Type
Plot(df; ...)
 Plot(
     df,
     l;
@@ -111,29 +115,25 @@
     line_dash,
     kw...
 )
-
Construct a plot using the columns of df if possible. For each keyword argument, if the value of the argument is a Symbol and the df has a column whose name matches the value, replace the value with the column of the df.
If group is passed and is a Symbol that is one of the column names of df, then call by(df, group) and construct one trace per SubDataFrame, passing all other keyword arguments. This means all keyword arguments are passed applied to all traces
All keyword arguments are passed directly to the trace constructor, with the following exceptions:
  • category_orders: A mapping from DataFrame column name to a vector of values that appear in that column. Wherever the column is used in the chart (facets, x, y, etc.) the chart elements tied to the column will be sorted according to the vector of values specified here. This ordering can be partial, in which case all elements that appear in the DataFrame, but not in the vector of values specified here, will be included after values explicitly listed here.
  • labels: A mapping from column names (symbols) to text that should appear on the chart. This can be used to customize the title of axes, title of legend, etc.
  • facet_row: A symbol denoting which DataFrame column should be used to create facetted subplots in the vertical direction.
  • facet_col: A symbol denoting which DataFrame column should be used to create facetted subplots in the horizontal direction.
  • symbol: A symbol noting which column should be used for the marker symbol. The values of this column are not used directly, but rather a new trace will be created for each unique value in this column. Each trace will have a different marker symbol, such as circle, diamond, square, etc.
  • color: Similar to symbol, but for the color of a trace
  • line_dash: Similar to symbol, but for the line style of a trace.
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PlotlyBase.Plot — Type
Plot(d, y; ...)
-Plot(d, y, l; kwargs...)
-
Construct a plot from df, passing the provided value y as a keyword argument. See docstring for other method for more information.
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PlotlyBase.Plot — Type
Plot(d, x, y; ...)
-Plot(d, x, y, l; kwargs...)
-
Construct a plot from df, passing the provided values of x and y as keyword arguments. See docstring for other method for more information.
source
PlotlyBase.Plot — Type
Plot(fs, x0, x1; ...)
-Plot(fs, x0, x1, l; config, kwargs...)
-
For each function in f in fs, construct a scatter trace that plots f from x0 to x1, using the layout l. All keyword arguments are applied to all constructed traces.
source
PlotlyBase.Plot — Type
Plot(f, x0, x1; ...)
+
Construct a plot using the columns of df if possible. For each keyword argument, if the value of the argument is a Symbol and the df has a column whose name matches the value, replace the value with the column of the df.
If group is passed and is a Symbol that is one of the column names of df, then call by(df, group) and construct one trace per SubDataFrame, passing all other keyword arguments. This means all keyword arguments are passed applied to all traces
All keyword arguments are passed directly to the trace constructor, with the following exceptions:
  • category_orders: A mapping from DataFrame column name to a vector of values that appear in that column. Wherever the column is used in the chart (facets, x, y, etc.) the chart elements tied to the column will be sorted according to the vector of values specified here. This ordering can be partial, in which case all elements that appear in the DataFrame, but not in the vector of values specified here, will be included after values explicitly listed here.
  • labels: A mapping from column names (symbols) to text that should appear on the chart. This can be used to customize the title of axes, title of legend, etc.
  • facet_row: A symbol denoting which DataFrame column should be used to create facetted subplots in the vertical direction.
  • facet_col: A symbol denoting which DataFrame column should be used to create facetted subplots in the horizontal direction.
  • symbol: A symbol noting which column should be used for the marker symbol. The values of this column are not used directly, but rather a new trace will be created for each unique value in this column. Each trace will have a different marker symbol, such as circle, diamond, square, etc.
  • color: Similar to symbol, but for the color of a trace
  • line_dash: Similar to symbol, but for the line style of a trace.
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PlotlyBase.Plot — Type
Plot(f, x0, x1; ...)
 Plot(f, x0, x1, l; config, kwargs...)
-
Construct a plot of f from x0 to x1, using the layout l. All keyword arguments are applied to the constructed trace.
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PlotlyBase.Plot — Method
Plot(y; ...)
+
Construct a plot of f from x0 to x1, using the layout l. All keyword arguments are applied to the constructed trace.
source
PlotlyBase.Plot — Type
Plot(d, y; ...)
+Plot(d, y, l; kwargs...)
+
Construct a plot from df, passing the provided value y as a keyword argument. See docstring for other method for more information.
source
PlotlyBase.Plot — Method
Plot(y; ...)
 Plot(y, l; kwargs...)
-
Build a scatter plot and set  y to y. All keyword arguments are passed directly as keyword arguments to the constructed scatter.
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PlotlyBase.Plot — Method
Plot(x, y; ...)
+
Build a scatter plot and set  y to y. All keyword arguments are passed directly as keyword arguments to the constructed scatter.
source
PlotlyBase.Plot — Method
Plot(x, y; ...)
 Plot(x, y, l; kind, config, kwargs...)
-
Build a plot of with one trace of type kindand set x to x and y to y. All keyword arguments are passed directly as keyword arguments to the constructed trace.
NOTE: If y is a matrix, one trace is constructed for each column of y
NOTE: If x and y are both matrices, they must have the same number of columns (say N). Then N traces are constructed, where the ith column of x is paired with the ith column of y.
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PlotlyBase.PlotConfig — Type
PlotConfig(;kwargs...)
Configuration options to be sent to the frontend to control aspects of how the plot is rendered. The acceptable keyword arguments are:
  • scrollZoom: Determines whether mouse wheel or two-finger scroll zooms is enable. Turned on by default for gl3d, geo and mapbox subplots (as these subplot types do not have zoombox via pan), but turned off by default for cartesian subplots. Set scrollZoom to false to disable scrolling for all subplots.
  • editable: Determines whether the graph is editable or not. Sets all pieces of edits unless a separate edits config item overrides individual parts.
  • staticPlot: Determines whether the graphs are interactive or not. If false, no interactivity, for export or image generation.
  • toImageButtonOptions: Statically override options for toImage modebar button allowed keys are format, filename, width, height
  • displayModeBar: Determines the mode bar display mode. If true, the mode bar is always visible. If false, the mode bar is always hidden. If hover, the mode bar is visible while the mouse cursor is on the graph container.
  • modeBarButtonsToRemove: Remove mode bar buttons by name
  • modeBarButtonsToAdd: Add mode bar button using config objects. To enable predefined modebar buttons e.g. shape drawing, hover and spikelines, simply provide their string name(s). This could include: v1hovermode, hoverclosest, hovercompare, togglehover, togglespikelines, drawline, drawopenpath, drawclosedpath, drawcircle, drawrect and eraseshape. Please note that these predefined buttons will only be shown if they are compatible with all trace types used in a graph.
  • modeBarButtons: Define fully custom mode bar buttons as nested array where the outer arrays represents button groups, and the inner arrays have buttons config objects or names of default buttons.
  • showLink: Determines whether a link to Chart Studio Cloud is displayed at the bottom right corner of resulting graphs. Use with sendData and linkText.
  • plotlyServerURL: When set it determines base URL for the 'Edit in Chart Studio' showEditInChartStudio/showSendToCloud mode bar button and the showLink/sendData on-graph link. To enable sending your data to Chart Studio Cloud, you need to set both plotlyServerURL to 'https://chart-studio.plotly.com' and also set showSendToCloud to true.
  • linkText: Sets the text appearing in the showLink link.
  • showEditInChartStudio: Same as showSendToCloud, but use a pencil icon instead of a floppy-disk. Note that if both showSendToCloud and showEditInChartStudio are turned, only showEditInChartStudio will be honored.
  • locale: Which localization should we use? Should be a string like 'en' or 'en-US'.
  • displaylogo: Determines whether or not the plotly logo is displayed on the end of the mode bar.
  • responsive: Determines whether to change the layout size when window is resized.
  • doubleClickDelay: Sets the delay for registering a double-click in ms. This is the time interval (in ms) between first mousedown and 2nd mouseup to constitute a double-click. This setting propagates to all on-subplot double clicks (except for geo and mapbox) and on-legend double clicks.
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PlotlyBase.Spec — Type
Parameters
  • kind Subplot type. One of
    • 'xy': 2D Cartesian subplot type for scatter, bar, etc.
    • 'scene': 3D Cartesian subplot for scatter3d, cone, etc.
    • 'polar': Polar subplot for scatterpolar, barpolar, etc.
    • 'ternary': Ternary subplot for scatterternary
    • 'mapbox': Mapbox subplot for scattermapbox
    • 'domain': Subplot type for traces that are individually positioned. pie, parcoords, parcats, etc.
    • Trace type: Put the name of the type of trace here and we will determine the appropriate kind of subplot
  • secondary_y: If true, create a secondary y-axis positioned on the right side of the subplot. Only valid if kind="xy".
  • colspan: number of subplot columns for this subplot to span.
  • rowspan: number of subplot rows for this subplot to span.
  • l: padding left of cell
  • r: padding right of cell
  • t: padding right of cell
  • b: padding bottom of cell
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PlotlyBase.Subplots — Type
Parameters
  • rows: Number of rows in the subplot grid. Must be greater than zero.
  • cols: Number of columns in the subplot grid. Must be greater than zero.
  • shared_xaxes: Assign shared (linked) x-axes for 2D cartesian subplots
    • true or "columns": Share axes among subplots in the same column
    • "rows": Share axes among subplots in the same row
    • "all": Share axes across all subplots in the grid
  • shared_yaxes: Assign shared (linked) y-axes for 2D cartesian subplots
    • "columns": Share axes among subplots in the same column
    • true or "rows": Share axes among subplots in the same row
    • "all": Share axes across all subplots in the grid.
  • start_cell:  Choose the starting cell in the subplot grid used to set the domains_grid of the subplots.
    • "top-left": Subplots are numbered with (1, 1) in the top left corner
    • "bottom-left": Subplots are numbererd with (1, 1) in the bottom left corner
  • horizontal_spacing: Space between subplot columns in normalized plot coordinates. Must be a float between 0 and 1. Applies to all columns (use "specs" subplot-dependents spacing)
  • vertical_spacing: Space between subplot rows in normalized plot coordinates. Must be a float between 0 and 1. Applies to all rows (use "specs" subplot-dependents spacing)
  • subplot_titles: Title of each subplot as a list in row-major ordering. Empty strings ("") can be included in the list if no subplot title is desired in that space so that the titles are properly indexed.
  • specs:  Per subplot specifications of subplot type, row/column spanning, and spacing.
    • The number of rows in "specs" must be equal to "rows".
    • The number of columns in "specs"
    • Each item in the "specs" list corresponds to one subplot in a subplot grid. (N.B. The subplot grid has exactly "rows" times "cols" cells.)
    • Use missing for a blank a subplot cell (or to move past a col/row span).
    • Each item in "specs" is an instance of Spec. See docs for Spec for more information
    • Note: Use horizontal_spacing and vertical_spacing to adjust the spacing in between the subplots.
  • insets: Inset specifications.  Insets are subplots that overlay grid subplots
    • Each item in "insets" is an instance of Inset. See docs for Inset for more info
  • column_widths:  Array of length cols of the relative widths of each column of suplots. Values are normalized internally and used to distribute overall width of the figure (excluding padding) among the columns.
  • row_heights: Array of length rows of the relative heights of each row of subplots. Values are normalized internally and used to distribute overall height of the figure (excluding padding) among the rows
  • column_titles: list of length cols of titles to place above the top subplot in each column.
  • row_titles: list of length rows of titles to place on the right side of each row of subplots.
  • x_title: Title to place below the bottom row of subplots, centered horizontally
  • y_title: Title to place to the left of the left column of subplots, centered vertically
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PlotlyJS.make_subplots — Function
Parameters
  • rows: Number of rows in the subplot grid. Must be greater than zero.
  • cols: Number of columns in the subplot grid. Must be greater than zero.
  • shared_xaxes: Assign shared (linked) x-axes for 2D cartesian subplots
    • true or "columns": Share axes among subplots in the same column
    • "rows": Share axes among subplots in the same row
    • "all": Share axes across all subplots in the grid
  • shared_yaxes: Assign shared (linked) y-axes for 2D cartesian subplots
    • "columns": Share axes among subplots in the same column
    • true or "rows": Share axes among subplots in the same row
    • "all": Share axes across all subplots in the grid.
  • start_cell:  Choose the starting cell in the subplot grid used to set the domains_grid of the subplots.
    • "top-left": Subplots are numbered with (1, 1) in the top left corner
    • "bottom-left": Subplots are numbererd with (1, 1) in the bottom left corner
  • horizontal_spacing: Space between subplot columns in normalized plot coordinates. Must be a float between 0 and 1. Applies to all columns (use "specs" subplot-dependents spacing)
  • vertical_spacing: Space between subplot rows in normalized plot coordinates. Must be a float between 0 and 1. Applies to all rows (use "specs" subplot-dependents spacing)
  • subplot_titles: Title of each subplot as a list in row-major ordering. Empty strings ("") can be included in the list if no subplot title is desired in that space so that the titles are properly indexed.
  • specs:  Per subplot specifications of subplot type, row/column spanning, and spacing.
    • The number of rows in "specs" must be equal to "rows".
    • The number of columns in "specs"
    • Each item in the "specs" list corresponds to one subplot in a subplot grid. (N.B. The subplot grid has exactly "rows" times "cols" cells.)
    • Use missing for a blank a subplot cell (or to move past a col/row span).
    • Each item in "specs" is an instance of Spec. See docs for Spec for more information
    • Note: Use horizontal_spacing and vertical_spacing to adjust the spacing in between the subplots.
  • insets: Inset specifications.  Insets are subplots that overlay grid subplots
    • Each item in "insets" is an instance of Inset. See docs for Inset for more info
  • column_widths:  Array of length cols of the relative widths of each column of suplots. Values are normalized internally and used to distribute overall width of the figure (excluding padding) among the columns.
  • row_heights: Array of length rows of the relative heights of each row of subplots. Values are normalized internally and used to distribute overall height of the figure (excluding padding) among the rows
  • column_titles: list of length cols of titles to place above the top subplot in each column.
  • row_titles: list of length rows of titles to place on the right side of each row of subplots.
  • x_title: Title to place below the bottom row of subplots, centered horizontally
  • y_title: Title to place to the left of the left column of subplots, centered vertically
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PlotlyJS.savefig — Method
savefig(
+
Build a plot of with one trace of type kindand set x to x and y to y. All keyword arguments are passed directly as keyword arguments to the constructed trace.
NOTE: If y is a matrix, one trace is constructed for each column of y
NOTE: If x and y are both matrices, they must have the same number of columns (say N). Then N traces are constructed, where the ith column of x is paired with the ith column of y.
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PlotlyBase.PlotConfig — Type
PlotConfig(;kwargs...)
Configuration options to be sent to the frontend to control aspects of how the plot is rendered. The acceptable keyword arguments are:
  • scrollZoom: Determines whether mouse wheel or two-finger scroll zooms is enable. Turned on by default for gl3d, geo and mapbox subplots (as these subplot types do not have zoombox via pan), but turned off by default for cartesian subplots. Set scrollZoom to false to disable scrolling for all subplots.
  • editable: Determines whether the graph is editable or not. Sets all pieces of edits unless a separate edits config item overrides individual parts.
  • staticPlot: Determines whether the graphs are interactive or not. If false, no interactivity, for export or image generation.
  • toImageButtonOptions: Statically override options for toImage modebar button allowed keys are format, filename, width, height
  • displayModeBar: Determines the mode bar display mode. If true, the mode bar is always visible. If false, the mode bar is always hidden. If hover, the mode bar is visible while the mouse cursor is on the graph container.
  • modeBarButtonsToRemove: Remove mode bar buttons by name
  • modeBarButtonsToAdd: Add mode bar button using config objects. To enable predefined modebar buttons e.g. shape drawing, hover and spikelines, simply provide their string name(s). This could include: v1hovermode, hoverclosest, hovercompare, togglehover, togglespikelines, drawline, drawopenpath, drawclosedpath, drawcircle, drawrect and eraseshape. Please note that these predefined buttons will only be shown if they are compatible with all trace types used in a graph.
  • modeBarButtons: Define fully custom mode bar buttons as nested array where the outer arrays represents button groups, and the inner arrays have buttons config objects or names of default buttons.
  • showLink: Determines whether a link to Chart Studio Cloud is displayed at the bottom right corner of resulting graphs. Use with sendData and linkText.
  • plotlyServerURL: When set it determines base URL for the 'Edit in Chart Studio' showEditInChartStudio/showSendToCloud mode bar button and the showLink/sendData on-graph link. To enable sending your data to Chart Studio Cloud, you need to set both plotlyServerURL to 'https://chart-studio.plotly.com' and also set showSendToCloud to true.
  • linkText: Sets the text appearing in the showLink link.
  • showEditInChartStudio: Same as showSendToCloud, but use a pencil icon instead of a floppy-disk. Note that if both showSendToCloud and showEditInChartStudio are turned, only showEditInChartStudio will be honored.
  • locale: Which localization should we use? Should be a string like 'en' or 'en-US'.
  • displaylogo: Determines whether or not the plotly logo is displayed on the end of the mode bar.
  • responsive: Determines whether to change the layout size when window is resized.
  • doubleClickDelay: Sets the delay for registering a double-click in ms. This is the time interval (in ms) between first mousedown and 2nd mouseup to constitute a double-click. This setting propagates to all on-subplot double clicks (except for geo and mapbox) and on-legend double clicks.
source
PlotlyBase.Spec — Type
Parameters
  • kind Subplot type. One of
    • 'xy': 2D Cartesian subplot type for scatter, bar, etc.
    • 'scene': 3D Cartesian subplot for scatter3d, cone, etc.
    • 'polar': Polar subplot for scatterpolar, barpolar, etc.
    • 'ternary': Ternary subplot for scatterternary
    • 'mapbox': Mapbox subplot for scattermapbox
    • 'domain': Subplot type for traces that are individually positioned. pie, parcoords, parcats, etc.
    • Trace type: Put the name of the type of trace here and we will determine the appropriate kind of subplot
  • secondary_y: If true, create a secondary y-axis positioned on the right side of the subplot. Only valid if kind="xy".
  • colspan: number of subplot columns for this subplot to span.
  • rowspan: number of subplot rows for this subplot to span.
  • l: padding left of cell
  • r: padding right of cell
  • t: padding right of cell
  • b: padding bottom of cell
source
PlotlyBase.Subplots — Type
Parameters
  • rows: Number of rows in the subplot grid. Must be greater than zero.
  • cols: Number of columns in the subplot grid. Must be greater than zero.
  • shared_xaxes: Assign shared (linked) x-axes for 2D cartesian subplots
    • true or "columns": Share axes among subplots in the same column
    • "rows": Share axes among subplots in the same row
    • "all": Share axes across all subplots in the grid
  • shared_yaxes: Assign shared (linked) y-axes for 2D cartesian subplots
    • "columns": Share axes among subplots in the same column
    • true or "rows": Share axes among subplots in the same row
    • "all": Share axes across all subplots in the grid.
  • start_cell:  Choose the starting cell in the subplot grid used to set the domains_grid of the subplots.
    • "top-left": Subplots are numbered with (1, 1) in the top left corner
    • "bottom-left": Subplots are numbererd with (1, 1) in the bottom left corner
  • horizontal_spacing: Space between subplot columns in normalized plot coordinates. Must be a float between 0 and 1. Applies to all columns (use "specs" subplot-dependents spacing)
  • vertical_spacing: Space between subplot rows in normalized plot coordinates. Must be a float between 0 and 1. Applies to all rows (use "specs" subplot-dependents spacing)
  • subplot_titles: Title of each subplot as a list in row-major ordering. Empty strings ("") can be included in the list if no subplot title is desired in that space so that the titles are properly indexed.
  • specs:  Per subplot specifications of subplot type, row/column spanning, and spacing.
    • The number of rows in "specs" must be equal to "rows".
    • The number of columns in "specs"
    • Each item in the "specs" list corresponds to one subplot in a subplot grid. (N.B. The subplot grid has exactly "rows" times "cols" cells.)
    • Use missing for a blank a subplot cell (or to move past a col/row span).
    • Each item in "specs" is an instance of Spec. See docs for Spec for more information
    • Note: Use horizontal_spacing and vertical_spacing to adjust the spacing in between the subplots.
  • insets: Inset specifications.  Insets are subplots that overlay grid subplots
    • Each item in "insets" is an instance of Inset. See docs for Inset for more info
  • column_widths:  Array of length cols of the relative widths of each column of suplots. Values are normalized internally and used to distribute overall width of the figure (excluding padding) among the columns.
  • row_heights: Array of length rows of the relative heights of each row of subplots. Values are normalized internally and used to distribute overall height of the figure (excluding padding) among the rows
  • column_titles: list of length cols of titles to place above the top subplot in each column.
  • row_titles: list of length rows of titles to place on the right side of each row of subplots.
  • x_title: Title to place below the bottom row of subplots, centered horizontally
  • y_title: Title to place to the left of the left column of subplots, centered vertically
source
PlotlyJS.make_subplots — Function
Parameters
  • rows: Number of rows in the subplot grid. Must be greater than zero.
  • cols: Number of columns in the subplot grid. Must be greater than zero.
  • shared_xaxes: Assign shared (linked) x-axes for 2D cartesian subplots
    • true or "columns": Share axes among subplots in the same column
    • "rows": Share axes among subplots in the same row
    • "all": Share axes across all subplots in the grid
  • shared_yaxes: Assign shared (linked) y-axes for 2D cartesian subplots
    • "columns": Share axes among subplots in the same column
    • true or "rows": Share axes among subplots in the same row
    • "all": Share axes across all subplots in the grid.
  • start_cell:  Choose the starting cell in the subplot grid used to set the domains_grid of the subplots.
    • "top-left": Subplots are numbered with (1, 1) in the top left corner
    • "bottom-left": Subplots are numbererd with (1, 1) in the bottom left corner
  • horizontal_spacing: Space between subplot columns in normalized plot coordinates. Must be a float between 0 and 1. Applies to all columns (use "specs" subplot-dependents spacing)
  • vertical_spacing: Space between subplot rows in normalized plot coordinates. Must be a float between 0 and 1. Applies to all rows (use "specs" subplot-dependents spacing)
  • subplot_titles: Title of each subplot as a list in row-major ordering. Empty strings ("") can be included in the list if no subplot title is desired in that space so that the titles are properly indexed.
  • specs:  Per subplot specifications of subplot type, row/column spanning, and spacing.
    • The number of rows in "specs" must be equal to "rows".
    • The number of columns in "specs"
    • Each item in the "specs" list corresponds to one subplot in a subplot grid. (N.B. The subplot grid has exactly "rows" times "cols" cells.)
    • Use missing for a blank a subplot cell (or to move past a col/row span).
    • Each item in "specs" is an instance of Spec. See docs for Spec for more information
    • Note: Use horizontal_spacing and vertical_spacing to adjust the spacing in between the subplots.
  • insets: Inset specifications.  Insets are subplots that overlay grid subplots
    • Each item in "insets" is an instance of Inset. See docs for Inset for more info
  • column_widths:  Array of length cols of the relative widths of each column of suplots. Values are normalized internally and used to distribute overall width of the figure (excluding padding) among the columns.
  • row_heights: Array of length rows of the relative heights of each row of subplots. Values are normalized internally and used to distribute overall height of the figure (excluding padding) among the rows
  • column_titles: list of length cols of titles to place above the top subplot in each column.
  • row_titles: list of length rows of titles to place on the right side of each row of subplots.
  • x_title: Title to place below the bottom row of subplots, centered horizontally
  • y_title: Title to place to the left of the left column of subplots, centered vertically
source
PlotlyJS.savefig — Method
savefig(
     io::IO,
     p::Plot;
     width::Union{Nothing,Int}=nothing,
     height::Union{Nothing,Int}=nothing,
     scale::Union{Nothing,Real}=nothing,
     format::String="png"
-)
Save a plot p to the io stream io. They keyword argument format determines the type of data written to the figure and must be one of png, jpeg, webp, svg, pdf, eps, json, or html. scale sets the image scale. width and height set the dimensions, in pixels. Defaults are taken from p.layout, or supplied by plotly
source
PlotlyJS.savefig — Method
savefig(
+)
Save a plot p to the io stream io. They keyword argument format determines the type of data written to the figure and must be one of png, jpeg, webp, svg, pdf, eps, json, or html. scale sets the image scale. width and height set the dimensions, in pixels. Defaults are taken from p.layout, or supplied by plotly
source
PlotlyJS.savefig — Method
savefig(
     p::Plot, fn::AbstractString;
     format::Union{Nothing,String}=nothing,
     width::Union{Nothing,Int}=nothing,
     height::Union{Nothing,Int}=nothing,
     scale::Union{Nothing,Real}=nothing,
-)
Save a plot p to a file named fn. If format is given and is one of png, jpeg, webp, svg, pdf, eps, json, or html; it will be the format of the file. By default the format is guessed from the extension of fn. scale sets the image scale. width and height set the dimensions, in pixels. Defaults are taken from p.layout, or supplied by plotly
source

+)

Save a plot p to a file named fn. If format is given and is one of png, jpeg, webp, svg, pdf, eps, json, or html; it will be the format of the file. By default the format is guessed from the extension of fn. scale sets the image scale. width and height set the dimensions, in pixels. Defaults are taken from p.layout, or supplied by plotly

source
diff --git a/dev/assets/documenter.js b/dev/assets/documenter.js index f531160..82252a1 100644 --- a/dev/assets/documenter.js +++ b/dev/assets/documenter.js @@ -4,7 +4,6 @@ requirejs.config({ 'highlight-julia': 'https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.8.0/languages/julia.min', 'headroom': 'https://cdnjs.cloudflare.com/ajax/libs/headroom/0.12.0/headroom.min', 'jqueryui': 'https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.13.2/jquery-ui.min', - 'minisearch': 'https://cdn.jsdelivr.net/npm/minisearch@6.1.0/dist/umd/index.min', 'katex-auto-render': 'https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.16.8/contrib/auto-render.min', 'jquery': 'https://cdnjs.cloudflare.com/ajax/libs/jquery/3.7.0/jquery.min', 'headroom-jquery': 'https://cdnjs.cloudflare.com/ajax/libs/headroom/0.12.0/jQuery.headroom.min', @@ -78,48 +77,54 @@ require(['jquery'], function($) { let timer = 0; var isExpanded = true; -$(document).on("click", ".docstring header", function () { - let articleToggleTitle = "Expand docstring"; - - debounce(() => { - if ($(this).siblings("section").is(":visible")) { - $(this) - .find(".docstring-article-toggle-button") - .removeClass("fa-chevron-down") - .addClass("fa-chevron-right"); - } else { - $(this) - .find(".docstring-article-toggle-button") - .removeClass("fa-chevron-right") - .addClass("fa-chevron-down"); +$(document).on( + "click", + ".docstring .docstring-article-toggle-button", + function () { + let articleToggleTitle = "Expand docstring"; + const parent = $(this).parent(); + + debounce(() => { + if (parent.siblings("section").is(":visible")) { + parent + .find("a.docstring-article-toggle-button") + .removeClass("fa-chevron-down") + .addClass("fa-chevron-right"); + } else { + parent + .find("a.docstring-article-toggle-button") + .removeClass("fa-chevron-right") + .addClass("fa-chevron-down"); - articleToggleTitle = "Collapse docstring"; - } + articleToggleTitle = "Collapse docstring"; + } - $(this) - .find(".docstring-article-toggle-button") - .prop("title", articleToggleTitle); - $(this).siblings("section").slideToggle(); - }); -}); + parent + .children(".docstring-article-toggle-button") + .prop("title", articleToggleTitle); + parent.siblings("section").slideToggle(); + }); + } +); -$(document).on("click", ".docs-article-toggle-button", function () { +$(document).on("click", ".docs-article-toggle-button", function (event) { let articleToggleTitle = "Expand docstring"; let navArticleToggleTitle = "Expand all docstrings"; + let animationSpeed = event.noToggleAnimation ? 0 : 400; debounce(() => { if (isExpanded) { $(this).removeClass("fa-chevron-up").addClass("fa-chevron-down"); - $(".docstring-article-toggle-button") + $("a.docstring-article-toggle-button") .removeClass("fa-chevron-down") .addClass("fa-chevron-right"); isExpanded = false; - $(".docstring section").slideUp(); + $(".docstring section").slideUp(animationSpeed); } else { $(this).removeClass("fa-chevron-down").addClass("fa-chevron-up"); - $(".docstring-article-toggle-button") + $("a.docstring-article-toggle-button") .removeClass("fa-chevron-right") .addClass("fa-chevron-down"); @@ -127,7 +132,7 @@ $(document).on("click", ".docs-article-toggle-button", function () { articleToggleTitle = "Collapse docstring"; navArticleToggleTitle = "Collapse all docstrings"; - $(".docstring section").slideDown(); + $(".docstring section").slideDown(animationSpeed); } $(this).prop("title", navArticleToggleTitle); @@ -224,224 +229,474 @@ $(document).ready(function () { }) //////////////////////////////////////////////////////////////////////////////// -require(['jquery', 'minisearch'], function($, minisearch) { - -// In general, most search related things will have "search" as a prefix. -// To get an in-depth about the thought process you can refer: https://hetarth02.hashnode.dev/series/gsoc +require(['jquery'], function($) { -let results = []; -let timer = undefined; +$(document).ready(function () { + let meta = $("div[data-docstringscollapsed]").data(); -let data = documenterSearchIndex["docs"].map((x, key) => { - x["id"] = key; // minisearch requires a unique for each object - return x; + if (meta?.docstringscollapsed) { + $("#documenter-article-toggle-button").trigger({ + type: "click", + noToggleAnimation: true, + }); + } }); -// list below is the lunr 2.1.3 list minus the intersect with names(Base) -// (all, any, get, in, is, only, which) and (do, else, for, let, where, while, with) -// ideally we'd just filter the original list but it's not available as a variable -const stopWords = new Set([ - "a", - "able", - "about", - "across", - "after", - "almost", - "also", - "am", - "among", - "an", - "and", - "are", - "as", - "at", - "be", - "because", - "been", - "but", - "by", - "can", - "cannot", - "could", - "dear", - "did", - "does", - "either", - "ever", - "every", - "from", - "got", - "had", - "has", - "have", - "he", - "her", - "hers", - "him", - "his", - "how", - "however", - "i", - "if", - "into", - "it", - "its", - "just", - "least", - "like", - "likely", - "may", - "me", - "might", - "most", - "must", - "my", - "neither", - "no", - "nor", - "not", - "of", - "off", - "often", - "on", - "or", - "other", - "our", - "own", - "rather", - "said", - "say", - "says", - "she", - "should", - "since", - "so", - "some", - "than", - "that", - "the", - "their", - "them", - "then", - "there", - "these", - "they", - "this", - "tis", - "to", - "too", - "twas", - "us", - "wants", - "was", - "we", - "were", - "what", - "when", - "who", - "whom", - "why", - "will", - "would", - "yet", - "you", - "your", -]); - -let index = new minisearch({ - fields: ["title", "text"], // fields to index for full-text search - storeFields: ["location", "title", "text", "category", "page"], // fields to return with search results - processTerm: (term) => { - let word = stopWords.has(term) ? null : term; - if (word) { - // custom trimmer that doesn't strip @ and !, which are used in julia macro and function names - word = word - .replace(/^[^a-zA-Z0-9@!]+/, "") - .replace(/[^a-zA-Z0-9@!]+$/, ""); - } +}) +//////////////////////////////////////////////////////////////////////////////// +require(['jquery'], function($) { - return word ?? null; - }, - // add . as a separator, because otherwise "title": "Documenter.Anchors.add!", would not find anything if searching for "add!", only for the entire qualification - tokenize: (string) => string.split(/[\s\-\.]+/), - // options which will be applied during the search - searchOptions: { - boost: { title: 100 }, - fuzzy: 2, +/* +To get an in-depth about the thought process you can refer: https://hetarth02.hashnode.dev/series/gsoc + +PSEUDOCODE: + +Searching happens automatically as the user types or adjusts the selected filters. +To preserve responsiveness, as much as possible of the slow parts of the search are done +in a web worker. Searching and result generation are done in the worker, and filtering and +DOM updates are done in the main thread. The filters are in the main thread as they should +be very quick to apply. This lets filters be changed without re-searching with minisearch +(which is possible even if filtering is on the worker thread) and also lets filters be +changed _while_ the worker is searching and without message passing (neither of which are +possible if filtering is on the worker thread) + +SEARCH WORKER: + +Import minisearch + +Build index + +On message from main thread + run search + find the first 200 unique results from each category, and compute their divs for display + note that this is necessary and sufficient information for the main thread to find the + first 200 unique results from any given filter set + post results to main thread + +MAIN: + +Launch worker + +Declare nonconstant globals (worker_is_running, last_search_text, unfiltered_results) + +On text update + if worker is not running, launch_search() + +launch_search + set worker_is_running to true, set last_search_text to the search text + post the search query to worker + +on message from worker + if last_search_text is not the same as the text in the search field, + the latest search result is not reflective of the latest search query, so update again + launch_search() + otherwise + set worker_is_running to false + + regardless, display the new search results to the user + save the unfiltered_results as a global + update_search() + +on filter click + adjust the filter selection + update_search() + +update_search + apply search filters by looping through the unfiltered_results and finding the first 200 + unique results that match the filters + + Update the DOM +*/ + +/////// SEARCH WORKER /////// + +function worker_function(documenterSearchIndex, documenterBaseURL, filters) { + importScripts( + "https://cdn.jsdelivr.net/npm/minisearch@6.1.0/dist/umd/index.min.js" + ); + + let data = documenterSearchIndex.map((x, key) => { + x["id"] = key; // minisearch requires a unique for each object + return x; + }); + + // list below is the lunr 2.1.3 list minus the intersect with names(Base) + // (all, any, get, in, is, only, which) and (do, else, for, let, where, while, with) + // ideally we'd just filter the original list but it's not available as a variable + const stopWords = new Set([ + "a", + "able", + "about", + "across", + "after", + "almost", + "also", + "am", + "among", + "an", + "and", + "are", + "as", + "at", + "be", + "because", + "been", + "but", + "by", + "can", + "cannot", + "could", + "dear", + "did", + "does", + "either", + "ever", + "every", + "from", + "got", + "had", + "has", + "have", + "he", + "her", + "hers", + "him", + "his", + "how", + "however", + "i", + "if", + "into", + "it", + "its", + "just", + "least", + "like", + "likely", + "may", + "me", + "might", + "most", + "must", + "my", + "neither", + "no", + "nor", + "not", + "of", + "off", + "often", + "on", + "or", + "other", + "our", + "own", + "rather", + "said", + "say", + "says", + "she", + "should", + "since", + "so", + "some", + "than", + "that", + "the", + "their", + "them", + "then", + "there", + "these", + "they", + "this", + "tis", + "to", + "too", + "twas", + "us", + "wants", + "was", + "we", + "were", + "what", + "when", + "who", + "whom", + "why", + "will", + "would", + "yet", + "you", + "your", + ]); + + let index = new MiniSearch({ + fields: ["title", "text"], // fields to index for full-text search + storeFields: ["location", "title", "text", "category", "page"], // fields to return with results processTerm: (term) => { let word = stopWords.has(term) ? null : term; if (word) { + // custom trimmer that doesn't strip @ and !, which are used in julia macro and function names word = word .replace(/^[^a-zA-Z0-9@!]+/, "") .replace(/[^a-zA-Z0-9@!]+$/, ""); + + word = word.toLowerCase(); } return word ?? null; }, + // add . as a separator, because otherwise "title": "Documenter.Anchors.add!", would not + // find anything if searching for "add!", only for the entire qualification tokenize: (string) => string.split(/[\s\-\.]+/), - }, -}); + // options which will be applied during the search + searchOptions: { + prefix: true, + boost: { title: 100 }, + fuzzy: 2, + }, + }); + + index.addAll(data); + + /** + * Used to map characters to HTML entities. + * Refer: https://github.com/lodash/lodash/blob/main/src/escape.ts + */ + const htmlEscapes = { + "&": "&", + "<": "<", + ">": ">", + '"': """, + "'": "'", + }; + + /** + * Used to match HTML entities and HTML characters. + * Refer: https://github.com/lodash/lodash/blob/main/src/escape.ts + */ + const reUnescapedHtml = /[&<>"']/g; + const reHasUnescapedHtml = RegExp(reUnescapedHtml.source); + + /** + * Escape function from lodash + * Refer: https://github.com/lodash/lodash/blob/main/src/escape.ts + */ + function escape(string) { + return string && reHasUnescapedHtml.test(string) + ? string.replace(reUnescapedHtml, (chr) => htmlEscapes[chr]) + : string || ""; + } -index.addAll(data); + /** + * RegX escape function from MDN + * Refer: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping + */ + function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string + } -let filters = [...new Set(data.map((x) => x.category))]; -var modal_filters = make_modal_body_filters(filters); -var filter_results = []; + /** + * Make the result component given a minisearch result data object and the value + * of the search input as queryString. To view the result object structure, refer: + * https://lucaong.github.io/minisearch/modules/_minisearch_.html#searchresult + * + * @param {object} result + * @param {string} querystring + * @returns string + */ + function make_search_result(result, querystring) { + let search_divider = `
`; + let display_link = + result.location.slice(Math.max(0), Math.min(50, result.location.length)) + + (result.location.length > 30 ? "..." : ""); // To cut-off the link because it messes with the overflow of the whole div -$(document).on("keyup", ".documenter-search-input", function (event) { - // Adding a debounce to prevent disruptions from super-speed typing! - debounce(() => update_search(filter_results), 300); + if (result.page !== "") { + display_link += ` (${result.page})`; + } + searchstring = escapeRegExp(querystring); + let textindex = new RegExp(`${searchstring}`, "i").exec(result.text); + let text = + textindex !== null + ? result.text.slice( + Math.max(textindex.index - 100, 0), + Math.min( + textindex.index + querystring.length + 100, + result.text.length + ) + ) + : ""; // cut-off text before and after from the match + + text = text.length ? escape(text) : ""; + + let display_result = text.length + ? "..." + + text.replace( + new RegExp(`${escape(searchstring)}`, "i"), // For first occurrence + '$&' + ) + + "..." + : ""; // highlights the match + + let in_code = false; + if (!["page", "section"].includes(result.category.toLowerCase())) { + in_code = true; + } + + // We encode the full url to escape some special characters which can lead to broken links + let result_div = ` + +
+
${escape(result.title)}
+
${result.category}
+
+

+ ${display_result} +

+
+ ${display_link} +
+ + ${search_divider} + `; + + return result_div; + } + + self.onmessage = function (e) { + let query = e.data; + let results = index.search(query, { + filter: (result) => { + // Only return relevant results + return result.score >= 1; + }, + combineWith: "AND", + }); + + // Pre-filter to deduplicate and limit to 200 per category to the extent + // possible without knowing what the filters are. + let filtered_results = []; + let counts = {}; + for (let filter of filters) { + counts[filter] = 0; + } + let present = {}; + + for (let result of results) { + cat = result.category; + cnt = counts[cat]; + if (cnt < 200) { + id = cat + "---" + result.location; + if (present[id]) { + continue; + } + present[id] = true; + filtered_results.push({ + location: result.location, + category: cat, + div: make_search_result(result, query), + }); + } + } + + postMessage(filtered_results); + }; +} + +// `worker = Threads.@spawn worker_function(documenterSearchIndex)`, but in JavaScript! +const filters = [ + ...new Set(documenterSearchIndex["docs"].map((x) => x.category)), +]; +const worker_str = + "(" + + worker_function.toString() + + ")(" + + JSON.stringify(documenterSearchIndex["docs"]) + + "," + + JSON.stringify(documenterBaseURL) + + "," + + JSON.stringify(filters) + + ")"; +const worker_blob = new Blob([worker_str], { type: "text/javascript" }); +const worker = new Worker(URL.createObjectURL(worker_blob)); + +/////// SEARCH MAIN /////// + +// Whether the worker is currently handling a search. This is a boolean +// as the worker only ever handles 1 or 0 searches at a time. +var worker_is_running = false; + +// The last search text that was sent to the worker. This is used to determine +// if the worker should be launched again when it reports back results. +var last_search_text = ""; + +// The results of the last search. This, in combination with the state of the filters +// in the DOM, is used compute the results to display on calls to update_search. +var unfiltered_results = []; + +// Which filter is currently selected +var selected_filter = ""; + +$(document).on("input", ".documenter-search-input", function (event) { + if (!worker_is_running) { + launch_search(); + } }); +function launch_search() { + worker_is_running = true; + last_search_text = $(".documenter-search-input").val(); + worker.postMessage(last_search_text); +} + +worker.onmessage = function (e) { + if (last_search_text !== $(".documenter-search-input").val()) { + launch_search(); + } else { + worker_is_running = false; + } + + unfiltered_results = e.data; + update_search(); +}; + $(document).on("click", ".search-filter", function () { if ($(this).hasClass("search-filter-selected")) { - $(this).removeClass("search-filter-selected"); + selected_filter = ""; } else { - $(this).addClass("search-filter-selected"); + selected_filter = $(this).text().toLowerCase(); } - // Adding a debounce to prevent disruptions from crazy clicking! - debounce(() => get_filters(), 300); + // This updates search results and toggles classes for UI: + update_search(); }); -/** - * A debounce function, takes a function and an optional timeout in milliseconds - * - * @function callback - * @param {number} timeout - */ -function debounce(callback, timeout = 300) { - clearTimeout(timer); - timer = setTimeout(callback, timeout); -} - /** * Make/Update the search component - * - * @param {string[]} selected_filters */ -function update_search(selected_filters = []) { - let initial_search_body = ` -
Type something to get started!
- `; - +function update_search() { let querystring = $(".documenter-search-input").val(); if (querystring.trim()) { - results = index.search(querystring, { - filter: (result) => { - // Filtering results - if (selected_filters.length === 0) { - return result.score >= 1; - } else { - return ( - result.score >= 1 && selected_filters.includes(result.category) - ); - } - }, - }); + if (selected_filter == "") { + results = unfiltered_results; + } else { + results = unfiltered_results.filter((result) => { + return selected_filter == result.category.toLowerCase(); + }); + } let search_result_container = ``; + let modal_filters = make_modal_body_filters(); let search_divider = `
`; if (results.length) { @@ -449,19 +704,23 @@ function update_search(selected_filters = []) { let count = 0; let search_results = ""; - results.forEach(function (result) { - if (result.location) { - // Checking for duplication of results for the same page - if (!links.includes(result.location)) { - search_results += make_search_result(result, querystring); - count++; - } - + for (var i = 0, n = results.length; i < n && count < 200; ++i) { + let result = results[i]; + if (result.location && !links.includes(result.location)) { + search_results += result.div; + count++; links.push(result.location); } - }); + } - let result_count = `
${count} result(s)
`; + if (count == 1) { + count_str = "1 result"; + } else if (count == 200) { + count_str = "200+ results"; + } else { + count_str = count + " results"; + } + let result_count = `
${count_str}
`; search_result_container = `
@@ -490,125 +749,37 @@ function update_search(selected_filters = []) { $(".search-modal-card-body").html(search_result_container); } else { - filter_results = []; - modal_filters = make_modal_body_filters(filters, filter_results); - if (!$(".search-modal-card-body").hasClass("is-justify-content-center")) { $(".search-modal-card-body").addClass("is-justify-content-center"); } - $(".search-modal-card-body").html(initial_search_body); + $(".search-modal-card-body").html(` +
Type something to get started!
+ `); } } /** * Make the modal filter html * - * @param {string[]} filters - * @param {string[]} selected_filters * @returns string */ -function make_modal_body_filters(filters, selected_filters = []) { - let str = ``; - - filters.forEach((val) => { - if (selected_filters.includes(val)) { - str += `${val}`; - } else { - str += `${val}`; - } - }); +function make_modal_body_filters() { + let str = filters + .map((val) => { + if (selected_filter == val.toLowerCase()) { + return `${val}`; + } else { + return `${val}`; + } + }) + .join(""); - let filter_html = ` + return `
Filters: ${str} -
- `; - - return filter_html; -} - -/** - * Make the result component given a minisearch result data object and the value of the search input as queryString. - * To view the result object structure, refer: https://lucaong.github.io/minisearch/modules/_minisearch_.html#searchresult - * - * @param {object} result - * @param {string} querystring - * @returns string - */ -function make_search_result(result, querystring) { - let search_divider = `
`; - let display_link = - result.location.slice(Math.max(0), Math.min(50, result.location.length)) + - (result.location.length > 30 ? "..." : ""); // To cut-off the link because it messes with the overflow of the whole div - - if (result.page !== "") { - display_link += ` (${result.page})`; - } - - let textindex = new RegExp(`\\b${querystring}\\b`, "i").exec(result.text); - let text = - textindex !== null - ? result.text.slice( - Math.max(textindex.index - 100, 0), - Math.min( - textindex.index + querystring.length + 100, - result.text.length - ) - ) - : ""; // cut-off text before and after from the match - - let display_result = text.length - ? "..." + - text.replace( - new RegExp(`\\b${querystring}\\b`, "i"), // For first occurrence - '$&' - ) + - "..." - : ""; // highlights the match - - let in_code = false; - if (!["page", "section"].includes(result.category.toLowerCase())) { - in_code = true; - } - - // We encode the full url to escape some special characters which can lead to broken links - let result_div = ` - -
-
${result.title}
-
${result.category}
-
-

- ${display_result} -

-
- ${display_link} -
- - ${search_divider} - `; - - return result_div; -} - -/** - * Get selected filters, remake the filter html and lastly update the search modal - */ -function get_filters() { - let ele = $(".search-filters .search-filter-selected").get(); - filter_results = ele.map((x) => $(x).text().toLowerCase()); - modal_filters = make_modal_body_filters(filters, filter_results); - update_search(filter_results); +
`; } }) @@ -635,103 +806,107 @@ $(document).ready(function () { //////////////////////////////////////////////////////////////////////////////// require(['jquery'], function($) { -let search_modal_header = ` -
-
-

- - - - -

-
-
- -
-
-`; - -let initial_search_body = ` -
Type something to get started!
-`; - -let search_modal_footer = ` - -`; - -$(document.body).append( - ` - diff --git a/dev/examples/area/index.html b/dev/examples/area/index.html index 6c7d7ed..a9fc904 100644 --- a/dev/examples/area/index.html +++ b/dev/examples/area/index.html @@ -1,5 +1,5 @@ -Area · PlotlyJS
GitHub

Area

using PlotlyJS
function area1()
+Area · PlotlyJS
GitHub
Area
using PlotlyJS
function area1()
     trace1 = scatter(;x=1:4, y=[0, 2, 3, 5], fill="tozeroy")
     trace2 = scatter(;x=1:4, y=[3, 5, 1, 7], fill="tonexty")
     plot([trace1, trace2])
@@ -8,7 +8,7 @@
     
     
     

     

@@ -16,9 +16,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('89884123-828f-48fb-8025-fff400aadb71')) {
+        if (document.getElementById('dcf934eb-2cbc-41c5-8b3b-9a5f872f72fd')) {
     Plotly.newPlot(
-        '89884123-828f-48fb-8025-fff400aadb71',
+        'dcf934eb-2cbc-41c5-8b3b-9a5f872f72fd',
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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -49,7 +49,7 @@
     
     
     

     

@@ -57,9 +57,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('48ddec08-ac21-44d6-b4b9-f95c89e1876a')) {
+        if (document.getElementById('1b8dcdb9-d863-49e6-83b7-60dcef0e1cd0')) {
     Plotly.newPlot(
-        '48ddec08-ac21-44d6-b4b9-f95c89e1876a',
+        '1b8dcdb9-d863-49e6-83b7-60dcef0e1cd0',
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@@ -79,7 +79,7 @@
     
     
     

     

@@ -87,9 +87,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('86497782-b3b5-43fc-a151-fa38e02b30fa')) {
+        if (document.getElementById('6ef85c37-b94d-4ed6-860f-14cc117eabdd')) {
     Plotly.newPlot(
-        '86497782-b3b5-43fc-a151-fa38e02b30fa',
+        '6ef85c37-b94d-4ed6-860f-14cc117eabdd',
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@@ -99,4 +99,4 @@
         });
     
 

-
+ diff --git a/dev/examples/bar/2864e02a.svg b/dev/examples/bar/2864e02a.svg deleted file mode 100644 index 924f457..0000000 --- a/dev/examples/bar/2864e02a.svg +++ /dev/null @@ -1 +0,0 @@ -19952000200520100100200300400500Rest of worldChinaUS Export of Plastic ScrapUSD (millions) \ No newline at end of file diff --git a/dev/examples/bar/4e17541f.svg b/dev/examples/bar/4e17541f.svg deleted file mode 100644 index 35fa755..0000000 --- a/dev/examples/bar/4e17541f.svg +++ /dev/null @@ -1 +0,0 @@ -Product RevenueServices RevenueTotal RevenueFixed CostsVariable CostsTotal CostsTotal0100200300400500600700Annual Profit 2015$430K$260K$690K$-120K$-200K$-320K$370K \ No newline at end of file diff --git a/dev/examples/bar/a71fb823.svg b/dev/examples/bar/a71fb823.svg new file mode 100644 index 0000000..6679b75 --- /dev/null +++ b/dev/examples/bar/a71fb823.svg @@ -0,0 +1 @@ +19952000200520100100200300400500Rest of worldChinaUS Export of Plastic ScrapUSD (millions) \ No newline at end of file diff --git a/dev/examples/bar/ba6a9c82.svg b/dev/examples/bar/ba6a9c82.svg new file mode 100644 index 0000000..37bafe5 --- /dev/null +++ b/dev/examples/bar/ba6a9c82.svg @@ -0,0 +1 @@ +Product RevenueServices RevenueTotal RevenueFixed CostsVariable CostsTotal CostsTotal0100200300400500600700Annual Profit 2015$430K$260K$690K$-120K$-200K$-320K$370K \ No newline at end of file diff --git a/dev/examples/bar/index.html b/dev/examples/bar/index.html index 4b6e27e..f42193c 100644 --- a/dev/examples/bar/index.html +++ b/dev/examples/bar/index.html @@ -1,5 +1,5 @@ -Bar · PlotlyJS
GitHub

Bar

using PlotlyJS
function bar1()
+Bar · PlotlyJS
GitHub
Bar
using PlotlyJS
function bar1()
     data = bar(;x=["giraffes", "orangutans", "monkeys"],
                	y=[20, 14, 23])
     plot(data)
@@ -8,7 +8,7 @@
     
     
     

     

@@ -16,9 +16,9 @@
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         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('50db0e20-dbc5-43e0-94e2-b4c53d4fae29')) {
+        if (document.getElementById('4611e647-d2ed-4ed8-beb2-16421f41cc4e')) {
     Plotly.newPlot(
-        '50db0e20-dbc5-43e0-94e2-b4c53d4fae29',
+        '4611e647-d2ed-4ed8-beb2-16421f41cc4e',
         [{"y":[20,14,23],"type":"bar","x":["giraffes","orangutans","monkeys"]}],
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@@ -43,7 +43,7 @@
     
     
     

     

@@ -51,9 +51,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('e321bbb3-b214-4562-b538-820d77e9f1ef')) {
+        if (document.getElementById('e8229b05-c77c-4cce-9dc9-9903adadea3c')) {
     Plotly.newPlot(
-        'e321bbb3-b214-4562-b538-820d77e9f1ef',
+        'e8229b05-c77c-4cce-9dc9-9903adadea3c',
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@@ -328,7 +328,7 @@
                      bargroupgap=0.1)
     plot(data, layout)
 end
-bar9()
Example block output
function bar10()
+bar9()
Example block output
function bar10()
     x_data = ["Product Revenue", "Services Revenue", "Total Revenue",
               "Fixed Costs", "Variable Costs", "Total Costs", "Total"]
     y_data = [400, 660, 660, 590, 400, 400, 340]
@@ -383,7 +383,7 @@
 
     plot(data, layout)
 end
-bar10()
Example block output
function bar11()
+bar10()
Example block output
function bar11()
     trace1 = bar(;x=[1, 2, 3, 4],
                   y=[1, 4, 9, 16],
                   name="Trace1")
@@ -407,7 +407,7 @@
     
     
     

     

@@ -415,9 +415,9 @@
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         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('9d9dd7fd-d4e2-4d77-915b-75026bcc6a53')) {
+        if (document.getElementById('56e8f741-ef6a-4bbd-9dd9-9d2500a0e585')) {
     Plotly.newPlot(
-        '9d9dd7fd-d4e2-4d77-915b-75026bcc6a53',
+        '56e8f741-ef6a-4bbd-9dd9-9d2500a0e585',
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@@ -427,4 +427,4 @@
         });
     
 

-
+ diff --git a/dev/examples/box_plots/0105cc08.svg b/dev/examples/box_plots/0105cc08.svg deleted file mode 100644 index cda5c22..0000000 --- a/dev/examples/box_plots/0105cc08.svg +++ /dev/null @@ -1 +0,0 @@ -All PointsOnly WiskersSuspected OutlierWiskers and Outliers05101520All PointsOnly WiskersSuspected OutlierWiskers and OutliersBox Plot Styling Outliers \ No newline at end of file diff --git a/dev/examples/box_plots/10516743.svg b/dev/examples/box_plots/10516743.svg deleted file mode 100644 index 9f02637..0000000 --- a/dev/examples/box_plots/10516743.svg +++ /dev/null @@ -1 +0,0 @@ -trace 0trace 1trace 2trace 3trace 4trace 5trace 6trace 7trace 8trace 9trace 10trace 11trace 12trace 13trace 14trace 15trace 16trace 17trace 18trace 19trace 20trace 21trace 22trace 23trace 24trace 25trace 26trace 27trace 28trace 2912345trace 0trace 1trace 2trace 3trace 4trace 5trace 6trace 7trace 8trace 9trace 10trace 11trace 12trace 13trace 14trace 15trace 16trace 17trace 18trace 19trace 20trace 21trace 22trace 23trace 24trace 25trace 26trace 27trace 28trace 29 \ No newline at end of file diff --git a/dev/examples/box_plots/665fddce.svg b/dev/examples/box_plots/665fddce.svg new file mode 100644 index 0000000..a9a36f0 --- /dev/null +++ b/dev/examples/box_plots/665fddce.svg @@ -0,0 +1 @@ +trace 0trace 1trace 2trace 3trace 4trace 5trace 6trace 7trace 8trace 9trace 10trace 11trace 12trace 13trace 14trace 15trace 16trace 17trace 18trace 19trace 20trace 21trace 22trace 23trace 24trace 25trace 26trace 27trace 28trace 2912345trace 0trace 1trace 2trace 3trace 4trace 5trace 6trace 7trace 8trace 9trace 10trace 11trace 12trace 13trace 14trace 15trace 16trace 17trace 18trace 19trace 20trace 21trace 22trace 23trace 24trace 25trace 26trace 27trace 28trace 29 \ No newline at end of file diff --git a/dev/examples/box_plots/9cda4f91.svg b/dev/examples/box_plots/9cda4f91.svg new file mode 100644 index 0000000..59dbf07 --- /dev/null +++ b/dev/examples/box_plots/9cda4f91.svg @@ -0,0 +1 @@ +All PointsOnly WiskersSuspected OutlierWiskers and Outliers05101520All PointsOnly WiskersSuspected OutlierWiskers and OutliersBox Plot Styling Outliers \ No newline at end of file diff --git a/dev/examples/box_plots/b3fd122e.svg b/dev/examples/box_plots/b3fd122e.svg deleted file mode 100644 index 67b5369..0000000 --- a/dev/examples/box_plots/b3fd122e.svg +++ /dev/null @@ -1 +0,0 @@ -CarmeloAnthonyDwyaneWadeDeronWilliamsBrookLopezDamianLillardDavidWestBlakeGriffinDavidLeeDemarDerozan0510152025303540Points Scored by the Top 9 Scoring NBA Players in 2012 \ No newline at end of file diff --git a/dev/examples/box_plots/d3329490.svg b/dev/examples/box_plots/d3329490.svg deleted file mode 100644 index 3053fb4..0000000 --- a/dev/examples/box_plots/d3329490.svg +++ /dev/null @@ -1 +0,0 @@ -00.20.40.60.81day 1day 2kaleradishescarrotsGrouped Horizontal Box Plotnormalized moisture \ No newline at end of file diff --git a/dev/examples/box_plots/e154ef5b.svg b/dev/examples/box_plots/e154ef5b.svg new file mode 100644 index 0000000..407e60c --- /dev/null +++ b/dev/examples/box_plots/e154ef5b.svg @@ -0,0 +1 @@ +CarmeloAnthonyDwyaneWadeDeronWilliamsBrookLopezDamianLillardDavidWestBlakeGriffinDavidLeeDemarDerozan051015202530354045Points Scored by the Top 9 Scoring NBA Players in 2012 \ No newline at end of file diff --git a/dev/examples/box_plots/ff94da3c.svg b/dev/examples/box_plots/ff94da3c.svg new file mode 100644 index 0000000..c7e9455 --- /dev/null +++ b/dev/examples/box_plots/ff94da3c.svg @@ -0,0 +1 @@ +00.20.40.60.81day 1day 2kaleradishescarrotsGrouped Horizontal Box Plotnormalized moisture \ No newline at end of file diff --git a/dev/examples/box_plots/index.html b/dev/examples/box_plots/index.html index 4fc279a..dc1d1fa 100644 --- a/dev/examples/box_plots/index.html +++ b/dev/examples/box_plots/index.html @@ -1,5 +1,5 @@ -Box Plots · PlotlyJS
GitHub

Box Plots

using PlotlyJS
function box1()
+Box Plots · PlotlyJS
GitHub
Box Plots
using PlotlyJS
function box1()
     y0 = rand(50)
     y1 = rand(50) .+ 1
     trace1 = box(;y=y0)
@@ -7,7 +7,7 @@
     data = [trace1, trace2]
     plot(data)
 end
-box1()
function box2()
+box1()
function box2()
     data = box(;y=[0, 1, 1, 2, 3, 5, 8, 13, 21],
                 boxpoints="all",
                 jitter=0.3,
@@ -18,7 +18,7 @@
     
     
     

     

@@ -26,9 +26,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('f73c0e49-0189-440c-b6d8-79943eb71351')) {
+        if (document.getElementById('8229895b-36e2-4ebd-b2ef-6cc444e7f252')) {
     Plotly.newPlot(
-        'f73c0e49-0189-440c-b6d8-79943eb71351',
+        '8229895b-36e2-4ebd-b2ef-6cc444e7f252',
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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -150,7 +150,7 @@
     layout = Layout(;title="Box Plot Styling Outliers")
     plot(data, layout)
 end
-box5()
Example block output
function box6()
+box5()
Example block output
function box6()
     trace1 = box(;y=[2.37, 2.16, 4.82, 1.73, 1.04, 0.23, 1.32, 2.91, 0.11,
                      4.51, 0.51, 3.75, 1.35, 2.98, 4.50, 0.18, 4.66, 1.30,
                      2.06, 1.19],
@@ -171,7 +171,7 @@
     
     
     

     

@@ -179,9 +179,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('dbeb9f69-e693-48c8-86d5-903ec3f8abc9')) {
+        if (document.getElementById('150800b2-c2a1-48d0-9aa5-473d94c35e4c')) {
     Plotly.newPlot(
-        'dbeb9f69-e693-48c8-86d5-903ec3f8abc9',
+        '150800b2-c2a1-48d0-9aa5-473d94c35e4c',
         [{"boxmean":true,"y":[2.37,2.16,4.82,1.73,1.04,0.23,1.32,2.91,0.11,4.51,0.51,3.75,1.35,2.98,4.5,0.18,4.66,1.3,2.06,1.19],"type":"box","name":"Only Mean","marker":{"color":"rgb(8, 81, 156)"}},{"boxmean":"sd","y":[2.37,2.16,4.82,1.73,1.04,0.23,1.32,2.91,0.11,4.51,0.51,3.75,1.35,2.98,4.5,0.18,4.66,1.3,2.06,1.19],"type":"box","name":"Mean and Standard Deviation","marker":{"color":"rgb(10, 140, 208)"}}],
         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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -218,7 +218,7 @@
                      boxmode="group")
     plot(data, layout)
 end
-box7()
Example block output
function box8()
+box7()
Example block output
function box8()
     trace1 = box(;y=[1, 2, 3, 4, 4, 4, 8, 9, 10],
                   name="Sample A",
                   marker_color="rgb(214, 12, 140)")
@@ -233,7 +233,7 @@
     
     
     

     

@@ -241,9 +241,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('0107bf43-df10-473f-99b0-711cd489bb38')) {
+        if (document.getElementById('5d4ae35e-f383-45fe-8611-472c433c0fd7')) {
     Plotly.newPlot(
-        '0107bf43-df10-473f-99b0-711cd489bb38',
+        '5d4ae35e-f383-45fe-8611-472c433c0fd7',
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         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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -303,7 +303,7 @@
                      showlegend=false)
     plot(data, layout)
 end
-box9()
Example block output
function box10()
+box9()
Example block output
function box10()
     n_box = 30
     colors = ["hsl($i, 50%, 50%)" for i in range(0, stop=360, length=n_box)]
 
@@ -324,4 +324,4 @@
                      showlegend=true)
     plot(data, layout)
 end
-box10()
Example block output

+box10()
Example block output
diff --git a/dev/examples/contour/8f437125.svg b/dev/examples/contour/8f437125.svg new file mode 100644 index 0000000..6da879e --- /dev/null +++ b/dev/examples/contour/8f437125.svg @@ -0,0 +1 @@ +−6−4−20246−6−4−20246−0.8−0.400.40.8 \ No newline at end of file diff --git a/dev/examples/contour/e86c5719.svg b/dev/examples/contour/e86c5719.svg deleted file mode 100644 index bc1f577..0000000 --- a/dev/examples/contour/e86c5719.svg +++ /dev/null @@ -1 +0,0 @@ -02460246024602460246024602460246Connect the Gaps Between Null Values in the Z Matrix \ No newline at end of file diff --git a/dev/examples/contour/e94e8105.svg b/dev/examples/contour/e94e8105.svg deleted file mode 100644 index 094fd1b..0000000 --- a/dev/examples/contour/e94e8105.svg +++ /dev/null @@ -1 +0,0 @@ -−6−4−20246−6−4−20246−0.8−0.400.40.8 \ No newline at end of file diff --git a/dev/examples/contour/f3ff852a.svg b/dev/examples/contour/f3ff852a.svg new file mode 100644 index 0000000..297010b --- /dev/null +++ b/dev/examples/contour/f3ff852a.svg @@ -0,0 +1 @@ +02460246024602460246024602460246Connect the Gaps Between Null Values in the Z Matrix \ No newline at end of file diff --git a/dev/examples/contour/index.html b/dev/examples/contour/index.html index c434a90..3042908 100644 --- a/dev/examples/contour/index.html +++ b/dev/examples/contour/index.html @@ -1,5 +1,5 @@ -Contour · PlotlyJS
GitHub

Contour

using PlotlyJS
function contour1()
+Contour · PlotlyJS
GitHub
Contour
using PlotlyJS
function contour1()
     x = y = [-2*pi + 4*pi*i/100 for i in 1:100]
     z = [sin(x[i]) * cos(y[j]) * sin(x[i]*x[i]+y[j]*y[j])/log(x[i]*x[i]+y[j]*y[j]+1)
          for i in 1:100 for j in 1:100]
@@ -9,7 +9,7 @@
 
     plot(data)
 end
-contour1()
Example block output
function contour2()
+contour1()
Example block output
function contour2()
     z =  [10     10.625  12.5  15.625  20
          5.625  6.25    8.125 11.25   15.625
          2.5    3.125   5.    8.125   12.5
@@ -24,7 +24,7 @@
     
     
     

     

@@ -32,9 +32,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('b32c0699-7131-408b-9123-a60ef9836d10')) {
+        if (document.getElementById('d43db8c8-c61f-4aeb-bfdf-94d23efde477')) {
     Plotly.newPlot(
-        'b32c0699-7131-408b-9123-a60ef9836d10',
+        'd43db8c8-c61f-4aeb-bfdf-94d23efde477',
         [{"type":"contour","z":[[10.0,5.625,2.5,0.625,0.0],[10.625,6.25,3.125,1.25,0.625],[12.5,8.125,5.0,3.125,2.5],[15.625,11.25,8.125,6.25,5.625],[20.0,15.625,12.5,10.625,10.0]],"transpose":true}],
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Contour Plot"},
         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -61,7 +61,7 @@
     
     
     

     

@@ -69,9 +69,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('52f050e4-d763-45ee-a449-0860a33b5e8a')) {
+        if (document.getElementById('459252d2-f236-481c-81cc-d09dfb849aee')) {
     Plotly.newPlot(
-        '52f050e4-d763-45ee-a449-0860a33b5e8a',
+        '459252d2-f236-481c-81cc-d09dfb849aee',
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@@ -170,7 +170,7 @@
     
     
     

     

@@ -178,9 +178,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('343138f4-0c46-47fc-b2b2-1f5e54bafc79')) {
+        if (document.getElementById('1b2bd432-3d4a-469c-a340-2da0cb44af0c')) {
     Plotly.newPlot(
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+        '1b2bd432-3d4a-469c-a340-2da0cb44af0c',
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@@ -210,7 +210,7 @@
 
     p
 end
-contour7()
Example block output
function contour8()
+contour7()
Example block output
function contour8()
     z = [2  4   7   12  13  14  15  16
          3  1   6   11  12  13  16  17
          4  2   7   7   11  14  17  18
@@ -232,7 +232,7 @@
     
     
     

     

@@ -240,9 +240,9 @@
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         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('a1490da3-05ef-4ae2-b987-fd5dfacc17b3')) {
+        if (document.getElementById('a00f4508-b166-4727-8cd8-610003915bda')) {
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Color Bar Ticks for Contour Plots"},
         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -479,4 +479,4 @@
         });
     
 

-
+ diff --git a/dev/examples/finance/83584a5b.svg b/dev/examples/finance/83584a5b.svg new file mode 100644 index 0000000..4783b77 --- /dev/null +++ b/dev/examples/finance/83584a5b.svg @@ -0,0 +1 @@ +Apr 2017Jul 2017Oct 2017Jan 2018120130140150160170180Apr 2017Jul 2017Oct 2017Jan 2018800900100011001200AppleGoogleAppleGoogle \ No newline at end of file diff --git a/dev/examples/finance/9c5d137e.svg b/dev/examples/finance/9c5d137e.svg new file mode 100644 index 0000000..d38e1c8 --- /dev/null +++ b/dev/examples/finance/9c5d137e.svg @@ -0,0 +1 @@ +Apr 2017Jul 2017Oct 2017Jan 2018120130140150160170180Apr 2017Jul 2017Oct 2017Jan 2018800900100011001200AppleGoogleAppleGoogle \ No newline at end of file diff --git a/dev/examples/finance/b5b1d1da.svg b/dev/examples/finance/b5b1d1da.svg deleted file mode 100644 index 3b6578c..0000000 --- a/dev/examples/finance/b5b1d1da.svg +++ /dev/null @@ -1 +0,0 @@ -Apr 2017Jul 2017Oct 2017Jan 2018120130140150160170180Apr 2017Jul 2017Oct 2017Jan 2018800900100011001200AppleGoogleAppleGoogle \ No newline at end of file diff --git a/dev/examples/finance/ca05e8d4.svg b/dev/examples/finance/ca05e8d4.svg deleted file mode 100644 index 1928eca..0000000 --- a/dev/examples/finance/ca05e8d4.svg +++ /dev/null @@ -1 +0,0 @@ -Apr 2017Jul 2017Oct 2017Jan 2018120130140150160170180Apr 2017Jul 2017Oct 2017Jan 2018800900100011001200AppleGoogleAppleGoogle \ No newline at end of file diff --git a/dev/examples/finance/index.html b/dev/examples/finance/index.html index 97a672e..e29e6ac 100644 --- a/dev/examples/finance/index.html +++ b/dev/examples/finance/index.html @@ -1,5 +1,5 @@ -Financial Charts · PlotlyJS
GitHub

Finance

using PlotlyJS, HTTP, CSV, DataFrames
function ohlc1()
+Financial Charts · PlotlyJS
GitHub
Finance
using PlotlyJS, HTTP, CSV, DataFrames
function ohlc1()
     t = ohlc(open=[33.0, 33.3, 33.5, 33.0, 34.1],
              high=[33.1, 33.3, 33.6, 33.2, 34.8],
              low=[32.7, 32.7, 32.8, 32.6, 32.8],
@@ -10,7 +10,7 @@
     
     
     

     

@@ -18,9 +18,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('1b83a14d-75d9-4565-9967-babc6add666c')) {
+        if (document.getElementById('39c8753a-2d74-4bfb-ab09-424ad4090b18')) {
     Plotly.newPlot(
-        '1b83a14d-75d9-4565-9967-babc6add666c',
+        '39c8753a-2d74-4bfb-ab09-424ad4090b18',
         [{"high":[33.1,33.3,33.6,33.2,34.8],"type":"ohlc","open":[33.0,33.3,33.5,33.0,34.1],"low":[32.7,32.7,32.8,32.6,32.8],"close":[33.0,32.9,33.3,33.1,33.1]}],
         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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -42,7 +42,7 @@
 
     [p1 p2]
 end
-ohlc2()
Example block output
function candlestick1()
+ohlc2()
Example block output
function candlestick1()
     t = candlestick(open=[33.0, 33.3, 33.5, 33.0, 34.1],
                     high=[33.1, 33.3, 33.6, 33.2, 34.8],
                     low=[32.7, 32.7, 32.8, 32.6, 32.8],
@@ -53,7 +53,7 @@
     
     
     

     

@@ -61,9 +61,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('e042679b-6b06-42f4-8e15-1e5597bc3f65')) {
+        if (document.getElementById('a363c798-0912-47ec-8a60-84f771019ad0')) {
     Plotly.newPlot(
-        'e042679b-6b06-42f4-8e15-1e5597bc3f65',
+        'a363c798-0912-47ec-8a60-84f771019ad0',
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         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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -85,4 +85,4 @@
 
     [p1 p2]
 end
-candlestick2()
Example block output

+candlestick2()
Example block output
diff --git a/dev/examples/heatmaps/index.html b/dev/examples/heatmaps/index.html index 7dae151..236f8e7 100644 --- a/dev/examples/heatmaps/index.html +++ b/dev/examples/heatmaps/index.html @@ -1,5 +1,5 @@ -Heatmaps · PlotlyJS
GitHub

Heatmaps

using PlotlyJS, Random
+Heatmaps · PlotlyJS
GitHub
Heatmaps
using PlotlyJS, Random
 Random.seed!(42)
TaskLocalRNG()
function heatmap1()
     plot(heatmap(z=[1 20 30; 20 1 60; 30 60 1]))
 end
@@ -7,7 +7,7 @@
     
     
     

     

@@ -15,9 +15,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('699666fa-0a48-4b4d-8316-cd4986d58234')) {
+        if (document.getElementById('86edf831-c231-4f4a-b05c-73faa9a1c695')) {
     Plotly.newPlot(
-        '699666fa-0a48-4b4d-8316-cd4986d58234',
+        '86edf831-c231-4f4a-b05c-73faa9a1c695',
         [{"type":"heatmap","z":[[1,20,30],[20,1,60],[30,60,1]],"transpose":true}],
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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -39,7 +39,7 @@
     
     
     

     

@@ -47,9 +47,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('59acf642-a989-4a5f-98a0-cbbcbbc50173')) {
+        if (document.getElementById('6bfe697f-00d5-4c7e-bfd6-f39e490095c6')) {
     Plotly.newPlot(
-        '59acf642-a989-4a5f-98a0-cbbcbbc50173',
+        '6bfe697f-00d5-4c7e-bfd6-f39e490095c6',
         [{"y":["Morning","Afternoon","Evening"],"type":"heatmap","z":[[19,14,15,22,21],[5,19,21,14,9],[20,20,11,9,16]],"transpose":true,"x":["Monday","Tuesday","Wednesday","Thursday","Friday"]}],
         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@@ -59,4 +59,4 @@
         });
     
 

-
+ diff --git a/dev/examples/histograms/2343f26e.svg b/dev/examples/histograms/2343f26e.svg deleted file mode 100644 index 70f6a11..0000000 --- a/dev/examples/histograms/2343f26e.svg +++ /dev/null @@ -1 +0,0 @@ -−3−2−10123051015202530354045trace 0trace 1 \ No newline at end of file diff --git a/dev/examples/histograms/82148039.svg b/dev/examples/histograms/82148039.svg new file mode 100644 index 0000000..315aab1 --- /dev/null +++ b/dev/examples/histograms/82148039.svg @@ -0,0 +1 @@ +−3−2−10123051015202530354045trace 0trace 1 \ No newline at end of file diff --git a/dev/examples/histograms/index.html b/dev/examples/histograms/index.html index 6a8c3be..7b4cdb9 100644 --- a/dev/examples/histograms/index.html +++ b/dev/examples/histograms/index.html @@ -1,5 +1,5 @@ -Histograms · PlotlyJS
GitHub

Histograms

using PlotlyJS
function two_hists()
+Histograms · PlotlyJS
GitHub
Histograms
using PlotlyJS
function two_hists()
     x0 = randn(500)
     x1 = x0 .+ 1
 
@@ -9,4 +9,4 @@
     layout = Layout(barmode="overlay")
     plot(data, layout)
 end
-two_hists()
Example block output

+two_hists()
Example block output
diff --git a/dev/examples/line_scatter/042ea8a3.svg b/dev/examples/line_scatter/042ea8a3.svg new file mode 100644 index 0000000..53fcce2 --- /dev/null +++ b/dev/examples/line_scatter/042ea8a3.svg @@ -0,0 +1 @@ +10k20k30k40k50k102030405060708090100North AmericaEuropeAsia/PacificLatin AmericaQuarter 1 GrowthGDP per CapitalPercent \ No newline at end of file diff --git a/dev/examples/line_scatter/1cd162f3.svg b/dev/examples/line_scatter/1cd162f3.svg new file mode 100644 index 0000000..d7f60f9 --- /dev/null +++ b/dev/examples/line_scatter/1cd162f3.svg @@ -0,0 +1 @@ +405060708090Switzerland (2011)Chile (2013)Japan (2014)United States (2012)Slovenia (2014)Canada (2011)Poland (2010)Estonia (2015)Luxembourg (2013)Portugal (2011)Percent of estimated voting age populationPercent of estimated registered votersVotes cast for ten lowest voting age population in OECD countries \ No newline at end of file diff --git a/dev/examples/line_scatter/1fe2f91b.svg b/dev/examples/line_scatter/1fe2f91b.svg new file mode 100644 index 0000000..330d34e --- /dev/null +++ b/dev/examples/line_scatter/1fe2f91b.svg @@ -0,0 +1 @@ +200220032004200505101520Upper BoundMeasurementLower BoundContinuous, variable value error bars Notice the hover text!Wind speed (m/s) \ No newline at end of file diff --git a/dev/examples/line_scatter/34eab45d.svg b/dev/examples/line_scatter/34eab45d.svg deleted file mode 100644 index bb0129f..0000000 --- a/dev/examples/line_scatter/34eab45d.svg +++ /dev/null @@ -1 +0,0 @@ -6080100120140160UCLASoCalEmoryMichiganBerkeleyBrownNYUNotre DameCornellTuftsYaleDartmouthChicagoColumbiaDukeGeorgetownPrincetonU.PennStanfordMITHarvardMenWomenGender earnings disparityAnnual Salary (thousands)School \ No newline at end of file diff --git a/dev/examples/line_scatter/36e875b6.svg b/dev/examples/line_scatter/36e875b6.svg deleted file mode 100644 index 703f3f4..0000000 --- a/dev/examples/line_scatter/36e875b6.svg +++ /dev/null @@ -1 +0,0 @@ -10k20k30k40k50k102030405060708090100North AmericaEuropeAsia/PacificLatin AmericaQuarter 1 GrowthGDP per CapitalPercent \ No newline at end of file diff --git a/dev/examples/line_scatter/430913f1.svg b/dev/examples/line_scatter/430913f1.svg deleted file mode 100644 index 01a9369..0000000 --- a/dev/examples/line_scatter/430913f1.svg +++ /dev/null @@ -1 +0,0 @@ -−6−4−20246−3−2−10123Batman \ No newline at end of file diff --git a/dev/examples/line_scatter/50886ebf.svg b/dev/examples/line_scatter/50886ebf.svg deleted file mode 100644 index e1cced2..0000000 --- a/dev/examples/line_scatter/50886ebf.svg +++ /dev/null @@ -1 +0,0 @@ -200220032004200505101520Upper BoundMeasurementLower BoundContinuous, variable value error bars Notice the hover text!Wind speed (m/s) \ No newline at end of file diff --git a/dev/examples/line_scatter/6538387f.svg b/dev/examples/line_scatter/6538387f.svg deleted file mode 100644 index d30d584..0000000 --- a/dev/examples/line_scatter/6538387f.svg +++ /dev/null @@ -1 +0,0 @@ -405060708090Switzerland (2011)Chile (2013)Japan (2014)United States (2012)Slovenia (2014)Canada (2011)Poland (2010)Estonia (2015)Luxembourg (2013)Portugal (2011)Percent of estimated voting age populationPercent of estimated registered votersVotes cast for ten lowest voting age population in OECD countries \ No newline at end of file diff --git a/dev/examples/line_scatter/b01d10f9.svg b/dev/examples/line_scatter/b01d10f9.svg new file mode 100644 index 0000000..5928417 --- /dev/null +++ b/dev/examples/line_scatter/b01d10f9.svg @@ -0,0 +1 @@ +−6−4−20246−3−2−10123Batman \ No newline at end of file diff --git a/dev/examples/line_scatter/ccdff64d.svg b/dev/examples/line_scatter/ccdff64d.svg deleted file mode 100644 index 1140d73..0000000 --- a/dev/examples/line_scatter/ccdff64d.svg +++ /dev/null @@ -1 +0,0 @@ -2468100246810FairPremiumIdeal \ No newline at end of file diff --git a/dev/examples/line_scatter/e4a6849e.svg b/dev/examples/line_scatter/e4a6849e.svg new file mode 100644 index 0000000..424a5a3 --- /dev/null +++ b/dev/examples/line_scatter/e4a6849e.svg @@ -0,0 +1 @@ +6080100120140160UCLASoCalEmoryMichiganBerkeleyBrownNYUNotre DameCornellTuftsYaleDartmouthChicagoColumbiaDukeGeorgetownPrincetonU.PennStanfordMITHarvardMenWomenGender earnings disparityAnnual Salary (thousands)School \ No newline at end of file diff --git a/dev/examples/line_scatter/ff089ce2.svg b/dev/examples/line_scatter/ff089ce2.svg new file mode 100644 index 0000000..7903da4 --- /dev/null +++ b/dev/examples/line_scatter/ff089ce2.svg @@ -0,0 +1 @@ +2468100246810FairPremiumIdeal \ No newline at end of file diff --git a/dev/examples/line_scatter/index.html b/dev/examples/line_scatter/index.html index a3077b4..a4bb196 100644 --- a/dev/examples/line_scatter/index.html +++ b/dev/examples/line_scatter/index.html @@ -1,5 +1,5 @@ -Line and Scatter · PlotlyJS
GitHub

Line Scatter

using PlotlyJS, DataFrames, CSV, Dates, HTTP
function linescatter1()
+Line and Scatter · PlotlyJS
GitHub
Line Scatter
using PlotlyJS, DataFrames, CSV, Dates, HTTP
function linescatter1()
     trace1 = scatter(;x=1:4, y=[10, 15, 13, 17], mode="markers")
     trace2 = scatter(;x=2:5, y=[16, 5, 11, 9], mode="lines")
     trace3 = scatter(;x=1:4, y=[12, 9, 15, 12], mode="lines+markers")
@@ -9,7 +9,7 @@
     
     
     

     

@@ -17,9 +17,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('09e7c43b-d401-41b7-a362-a3e775a8c148')) {
+        if (document.getElementById('de122111-18b0-4b57-8b05-9fc4180e1e97')) {
     Plotly.newPlot(
-        '09e7c43b-d401-41b7-a362-a3e775a8c148',
+        'de122111-18b0-4b57-8b05-9fc4180e1e97',
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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -125,7 +125,7 @@
     
     
     

     

@@ -133,9 +133,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('6976638d-6798-4c4c-b327-5f1a7687447e')) {
+        if (document.getElementById('12633a7f-e1a9-4d00-ad38-0cbb5819c8bf')) {
     Plotly.newPlot(
-        '6976638d-6798-4c4c-b327-5f1a7687447e',
+        '12633a7f-e1a9-4d00-ad38-0cbb5819c8bf',
         [{"mode":"markers","y":[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],"type":"scatter","marker":{"color":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"size":40}}],
         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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -188,7 +188,7 @@
                     )
     plot(data, layout)
 end
-linescatter5()
Example block output
function linescatter6()
+linescatter5()
Example block output
function linescatter6()
     trace1 = scatter(;x=[52698, 43117], y=[53, 31],
                       mode="markers",
                       name="North America",
@@ -227,7 +227,7 @@
 
     plot(data, layout)
 end
-linescatter6()
Example block output
function batman()
+linescatter6()
Example block output
function batman()
     # reference: https://github.com/alanedelman/18.337_2015/blob/master/Lecture01_0909/The%20Bat%20Curve.ipynb
     σ(x) = @. √(1 - x.^2)
     el(x) = @. 3 * σ(x / 7)
@@ -246,7 +246,7 @@
 
     plot(traces, Layout(title="Batman"))
 end
-batman()
Example block output
function dumbell()
+batman()
Example block output
function dumbell()
     # reference: https://plot.ly/r/dumbbell-plots/
     # read Data into dataframe
     url = "https://raw.githubusercontent.com/plotly/datasets/master/school_earnings.csv"
@@ -272,7 +272,7 @@
 
     plot(data, layout)
 end
-dumbell()
Example block output
function errorbars1()
+dumbell()
Example block output
function errorbars1()
     trace1 = scatter(;x=vcat(1:10, 10:-1:1),
                      y=vcat(2:11, 9:-1:0),
                      fill="tozerox",
@@ -337,7 +337,7 @@
 
     plot(data, layout)
 end
-errorbars1()
Example block output
function errorbars2()
+errorbars1()
Example block output
function errorbars2()
     function random_dates(d1::DateTime, d2::DateTime, n::Int)
         map(Date, sort!(rand(d1:Dates.Hour(12):d2, n)))
     end
@@ -385,4 +385,4 @@
     layout = Layout(;title=t, yaxis_title="Wind speed (m/s)")
     plot(data, layout)
 end
-errorbars2()
Example block output

+errorbars2()
Example block output
diff --git a/dev/examples/maps/f4058c69.svg b/dev/examples/maps/f4058c69.svg deleted file mode 100644 index 9c72862..0000000 --- a/dev/examples/maps/f4058c69.svg +++ /dev/null @@ -1 +0,0 @@ -2014 US City Populations \ No newline at end of file diff --git a/dev/examples/maps/f607c9a7.svg b/dev/examples/maps/f607c9a7.svg new file mode 100644 index 0000000..3e1480c --- /dev/null +++ b/dev/examples/maps/f607c9a7.svg @@ -0,0 +1 @@ +2014 US City Populations \ No newline at end of file diff --git a/dev/examples/maps/index.html b/dev/examples/maps/index.html index 3b6466f..6cc443e 100644 --- a/dev/examples/maps/index.html +++ b/dev/examples/maps/index.html @@ -1,5 +1,5 @@ -Maps · PlotlyJS
GitHub

Maps

using PlotlyJS, DataFrames, CSV, HTTP
function maps1()
+Maps · PlotlyJS
GitHub
Maps
using PlotlyJS, DataFrames, CSV, HTTP
function maps1()
     marker = attr(size=[20, 30, 15, 10],
                   color=[10, 20, 40, 50],
                   cmin=0,
@@ -19,7 +19,7 @@
     
     
     

     

@@ -27,9 +27,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('fdf7e0f6-6c17-449b-a4c9-35e02f555a31')) {
+        if (document.getElementById('ac73b5f0-b185-4c11-a482-03281c06236c')) {
     Plotly.newPlot(
-        'fdf7e0f6-6c17-449b-a4c9-35e02f555a31',
+        'ac73b5f0-b185-4c11-a482-03281c06236c',
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         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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -63,4 +63,4 @@
     layout = Layout(;title="2014 US City Populations", showlegend=false, geo=geo)
     plot(trace, layout)
 end
-maps2()
Example block output

+maps2()
Example block output
diff --git a/dev/examples/shapes/45b21599.svg b/dev/examples/shapes/45b21599.svg new file mode 100644 index 0000000..ef30cb5 --- /dev/null +++ b/dev/examples/shapes/45b21599.svg @@ -0,0 +1 @@ +123456701234567 \ No newline at end of file diff --git a/dev/examples/shapes/bd6285d5.svg b/dev/examples/shapes/bd6285d5.svg deleted file mode 100644 index 36f8f6d..0000000 --- a/dev/examples/shapes/bd6285d5.svg +++ /dev/null @@ -1 +0,0 @@ -123456701234567 \ No newline at end of file diff --git a/dev/examples/shapes/index.html b/dev/examples/shapes/index.html index 42f8be0..deecf0f 100644 --- a/dev/examples/shapes/index.html +++ b/dev/examples/shapes/index.html @@ -1,5 +1,5 @@ -Shapes · PlotlyJS
GitHub

Shapes

using PlotlyJS, Distributions
function house()
+Shapes · PlotlyJS
GitHub
Shapes
using PlotlyJS, Distributions
function house()
     trace1 = scatter()
     x0 = [2,   2,   5.5, 9,   9, 2,   5, 5, 6]
     y0 = [1,   5.5, 9.5, 5.5, 1, 5.5, 1, 4, 4]
@@ -13,7 +13,7 @@
     
     
     

     

@@ -21,9 +21,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('e42c3b43-10b7-41e8-8680-2c1a4462c7a6')) {
+        if (document.getElementById('0825244b-3280-4daa-b30c-064c7bb2a26c')) {
     Plotly.newPlot(
-        'e42c3b43-10b7-41e8-8680-2c1a4462c7a6',
+        '0825244b-3280-4daa-b30c-064c7bb2a26c',
         [{"type":"scatter"}],
         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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -45,7 +45,7 @@
     
     
     

     

@@ -53,9 +53,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('b41baeae-e591-4dff-b6f3-4bf01f28042a')) {
+        if (document.getElementById('7ac93d18-0d4f-408b-bf6c-04c2d977d62a')) {
     Plotly.newPlot(
-        'b41baeae-e591-4dff-b6f3-4bf01f28042a',
+        '7ac93d18-0d4f-408b-bf6c-04c2d977d62a',
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@@ -86,7 +86,7 @@
               for (x, y, c) in args]
     plot(data, Layout(;height=400, width=480, showlegend=false, shapes=shapes))
 end
-clusters()
Example block output
function temperature()
+clusters()
Example block output
function temperature()
     x = ["2015-02-01", "2015-02-02", "2015-02-03", "2015-02-04", "2015-02-05",
          "2015-02-06", "2015-02-07", "2015-02-08", "2015-02-09", "2015-02-10",
          "2015-02-11", "2015-02-12", "2015-02-13", "2015-02-14", "2015-02-15",
@@ -101,7 +101,7 @@
                   xref="x", yref="paper")
     plot(data, Layout(shapes=shapes, width=500, height=500))
 end
-temperature()
function vlines1()
+temperature()
function vlines1()
     # one scalar argument produces one line. Need to wrap in an array because
     # layout.shapes should be an array
     trace1 = scatter(;x=1:10, y=(1:10).^2)
@@ -112,7 +112,7 @@
     
     
     

     

@@ -120,9 +120,9 @@
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         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('737c25dc-8df2-4a27-a01f-191040104849')) {
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@@ -142,7 +142,7 @@
     
     
     

     

@@ -150,9 +150,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('be7b2080-55b6-4ffe-bcc7-b5e503990755')) {
+        if (document.getElementById('13d88273-1a12-4786-8a1f-bae5c035126d')) {
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@@ -407,4 +407,4 @@
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GitHub

Subplots

using PlotlyJS, Dates
+Subplots · PlotlyJS
GitHub
Subplots
using PlotlyJS, Dates
 include("../../../examples/line_scatter.jl")
errorbars2 (generic function with 1 method)
function subplots1()
     p1 = linescatter1()
     p2 = linescatter2()
     p = [p1 p2]
     p
 end
-subplots1()
Example block output
function subplots2()
+subplots1()
Example block output
function subplots2()
     p1 = linescatter1()
     p2 = linescatter2()
     p = [p1; p2]
     p
 end
-subplots2()
Example block output
function subplots3()
+subplots2()
Example block output
function subplots3()
     p1 = linescatter6()
     p2 = linescatter2()
     p3 = linescatter3()
@@ -23,10 +23,10 @@
     p.plot.layout["height"] = 600
     p
 end
-subplots3()
Example block output
function subplots_withcomprehension()
+subplots3()
Example block output
function subplots_withcomprehension()
     hcat([plot(scatter(x=1:5, y=rand(5))) for i in 1:3]...)
 end
-subplots_withcomprehension()
Example block output
function subplots_withsharedaxes()
+subplots_withcomprehension()
Example block output
function subplots_withsharedaxes()
     data =  [
         scatter(x=1:3, y=2:4),
         scatter(x=20:10:40, y=fill(5, 3), xaxis="x2", yaxis="y"),
@@ -47,7 +47,7 @@
     
     
     

     

@@ -55,9 +55,9 @@
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         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('50829df5-e66d-4f29-8660-50c5bc5e8863')) {
+        if (document.getElementById('ede1554c-5e81-454d-985d-1db5b7d9f00e')) {
     Plotly.newPlot(
-        '50829df5-e66d-4f29-8660-50c5bc5e8863',
+        'ede1554c-5e81-454d-985d-1db5b7d9f00e',
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@@ -88,7 +88,7 @@
     
     
     

     

@@ -96,9 +96,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('8666b167-123f-4543-a737-9a6d4f1696b1')) {
+        if (document.getElementById('90b37233-30af-4a2b-b6db-d78940d8414e')) {
     Plotly.newPlot(
-        '8666b167-123f-4543-a737-9a6d4f1696b1',
+        '90b37233-30af-4a2b-b6db-d78940d8414e',
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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -123,7 +123,7 @@
     relayout!(p, title_text="Multiple Subplots with Shared Y-Axes")
     p
 end
-with_make_subplots2()
Example block output
function with_make_subplots3()
+with_make_subplots2()
Example block output
function with_make_subplots3()
     # The `specs` argument to `make_subplots` is used to configure per-subplot
     # options.  `specs` must be a `Matrix` with dimensions that match those
     # provided as the `rows` and `cols` arguments. The elements of `specs` may
@@ -151,7 +151,7 @@
     relayout!(p, showlegend=false, title_text="Specs with Subplot Title")
     p
 end
-with_make_subplots3()
Example block output
function with_make_subplots4()
+with_make_subplots3()
Example block output
function with_make_subplots4()
     # Here is an example that uses the `rowspan` and `colspan` subplot options
     # to create a custom subplot layout with subplots of mixed sizes.
     p = make_subplots(
@@ -173,4 +173,4 @@
     relayout!(p, height=600, width=600, title_text="specs examples")
     p
 end
-with_make_subplots4()
Example block output

+with_make_subplots4()
Example block output
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mining stats for 180 days \ No newline at end of file diff --git a/dev/examples/tables/index.html b/dev/examples/tables/index.html index 1ba70d7..735f429 100644 --- a/dev/examples/tables/index.html +++ b/dev/examples/tables/index.html @@ -1,5 +1,5 @@ -Tables · PlotlyJS
GitHub

Tables

using PlotlyJS, DataFrames, CSV, HTTP
function table1()
+Tables · PlotlyJS
GitHub
Tables
using PlotlyJS, DataFrames, CSV, HTTP
function table1()
     values = [
         "Salaries" 1200000 1300000 1300000 1400000
         "Office" 20000 20000 20000 20000
@@ -26,7 +26,7 @@
     
     
     

     

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@@ -76,7 +76,7 @@
     
     
     

     

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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -113,7 +113,7 @@
     
     
     

     

@@ -121,9 +121,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('4bf492e1-2783-41d0-a810-8f350583f84b')) {
+        if (document.getElementById('b2e85153-e322-4d32-8efc-dfa85841187a')) {
     Plotly.newPlot(
-        '4bf492e1-2783-41d0-a810-8f350583f84b',
+        'b2e85153-e322-4d32-8efc-dfa85841187a',
         [{"type":"table","header":{"values":["Expenses","Q1","Q2","Q3","Q4"],"line":{"color":"#506784","width":1},"font":{"color":"white","family":"Arial","size":12},"fill":{"color":"#119DFF"},"align":["left","center"]},"cells":{"values":[["Salaries","Office","Merchandise","Legal","TOTAL"],[1200000,20000,80000,2000,12120000],[1300000,20000,70000,2000,130902000],[1300000,20000,120000,2000,131222000],[1400000,20000,90000,2000,14102000]],"line":{"color":"#506784","width":1},"font":{"color":"#506784","family":"Arial","size":11},"fill":{"color":["#25FEFD","white"]},"align":["left","center"]}}],
         {"template":{"layout":{"coloraxis":{"colorbar":{"ticks":"","outlinewidth":0}},"xaxis":{"gridcolor":"white","zerolinewidth":2,"title":{"standoff":15},"ticks":"","zerolinecolor":"white","automargin":true,"linecolor":"white"},"hovermode":"closest","paper_bgcolor":"white","geo":{"showlakes":true,"showland":true,"landcolor":"#E5ECF6","bgcolor":"white","subunitcolor":"white","lakecolor":"white"},"colorscale":{"sequential":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"diverging":[[0,"#8e0152"],[0.1,"#c51b7d"],[0.2,"#de77ae"],[0.3,"#f1b6da"],[0.4,"#fde0ef"],[0.5,"#f7f7f7"],[0.6,"#e6f5d0"],[0.7,"#b8e186"],[0.8,"#7fbc41"],[0.9,"#4d9221"],[1,"#276419"]],"sequentialminus":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]},"yaxis":{"gridcolor":"white","zerolinewidth":2,"title":{"standoff":15},"ticks":"","zerolinecolor":"white","automargin":true,"linecolor":"white"},"shapedefaults":{"line":{"color":"#2a3f5f"}},"hoverlabel":{"align":"left"},"mapbox":{"style":"light"},"polar":{"angularaxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"bgcolor":"#E5ECF6","radialaxis":{"gridcolor":"white","ticks":"","linecolor":"white"}},"autotypenumbers":"strict","font":{"color":"#2a3f5f"},"ternary":{"baxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"bgcolor":"#E5ECF6","caxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"aaxis":{"gridcolor":"white","ticks":"","linecolor":"white"}},"annotationdefaults":{"arrowhead":0,"arrowwidth":1,"arrowcolor":"#2a3f5f"},"plot_bgcolor":"#E5ECF6","title":{"x":0.05},"scene":{"xaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"},"zaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"},"yaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"}},"colorway":["#636efa","#EF553B","#00cc96","#ab63fa","#FFA15A","#19d3f3","#FF6692","#B6E880","#FF97FF","#FECB52"]},"data":{"barpolar":[{"type":"barpolar","marker":{"line":{"color":"#E5ECF6","width":0.5}}}],"carpet":[{"aaxis":{"gridcolor":"white","endlinecolor":"#2a3f5f","minorgridcolor":"white","startlinecolor":"#2a3f5f","linecolor":"white"},"type":"carpet","baxis":{"gridcolor":"white","endlinecolor":"#2a3f5f","minorgridcolor":"white","startlinecolor":"#2a3f5f","linecolor":"white"}}],"scatterpolar":[{"type":"scatterpolar","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"parcoords":[{"line":{"colorbar":{"ticks":"","outlinewidth":0}},"type":"parcoords"}],"scatter":[{"type":"scatter","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"histogram2dcontour":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"histogram2dcontour","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"contour":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"contour","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"scattercarpet":[{"type":"scattercarpet","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"mesh3d":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"mesh3d"}],"surface":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"surface","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"scattermapbox":[{"type":"scattermapbox","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"scattergeo":[{"type":"scattergeo","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"histogram":[{"type":"histogram","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"pie":[{"type":"pie","automargin":true}],"choropleth":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"choropleth"}],"heatmapgl":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"heatmapgl","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#460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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -162,4 +162,4 @@
     )
     plot(trace, layout)
 end
-table3()
Example block output

+table3()
Example block output
diff --git a/dev/examples/ternary/021a7bac.svg b/dev/examples/ternary/021a7bac.svg deleted file mode 100644 index 40f0ac2..0000000 --- a/dev/examples/ternary/021a7bac.svg +++ /dev/null @@ -1 +0,0 @@ -020406080100100806040200100806040200JournalistDeveloperDesigner \ No newline at end of file diff --git a/dev/examples/ternary/418f7c1f.svg b/dev/examples/ternary/418f7c1f.svg new file mode 100644 index 0000000..90ed4ab --- /dev/null +++ b/dev/examples/ternary/418f7c1f.svg @@ -0,0 +1 @@ +20%40%60%80%80%60%40%20%80%60%40%20%ClaySandSlitSoil types fill plot \ No newline at end of file diff --git a/dev/examples/ternary/9e4cde9b.svg b/dev/examples/ternary/9e4cde9b.svg deleted file mode 100644 index 5a7b090..0000000 --- a/dev/examples/ternary/9e4cde9b.svg +++ /dev/null @@ -1 +0,0 @@ -20%40%60%80%80%60%40%20%80%60%40%20%ClaySandSlitSoil types fill plot \ No newline at end of file diff --git a/dev/examples/ternary/c8089f9b.svg b/dev/examples/ternary/c8089f9b.svg new file mode 100644 index 0000000..1c545b6 --- /dev/null +++ b/dev/examples/ternary/c8089f9b.svg @@ -0,0 +1 @@ +020406080100100806040200100806040200JournalistDeveloperDesigner \ No newline at end of file diff --git a/dev/examples/ternary/index.html b/dev/examples/ternary/index.html index f7af5ef..b60bc1e 100644 --- a/dev/examples/ternary/index.html +++ b/dev/examples/ternary/index.html @@ -1,5 +1,5 @@ -Ternary · PlotlyJS
GitHub

Ternary

using PlotlyJS, JSON
function ternary_markers()
+Ternary · PlotlyJS
GitHub
Ternary
using PlotlyJS, JSON
function ternary_markers()
     function make_ax(title, tickangle)
         attr(title=title, titlefont_size=20, tickangle=tickangle,
             tickfont_size=15, tickcolor="rgba(0, 0, 0, 0)", ticklen=5,
@@ -44,7 +44,7 @@
     )
     plot(t, layout)
 end
-ternary_markers()
Example block output
function filled_ternary()
+ternary_markers()
Example block output
function filled_ternary()
     function make_ax(title)
         attr(
             title=title,
@@ -103,4 +103,4 @@
     )
     plot(traces, layout)
 end
-filled_ternary()
Example block output

+filled_ternary()
Example block output
diff --git a/dev/examples/time_series/index.html b/dev/examples/time_series/index.html index d4ebb69..a995a92 100644 --- a/dev/examples/time_series/index.html +++ b/dev/examples/time_series/index.html @@ -1,5 +1,5 @@ -Time Series · PlotlyJS
GitHub

Time Series

using PlotlyJS
function datetimestrings()
+Time Series · PlotlyJS
GitHub
Time Series
using PlotlyJS
function datetimestrings()
     x = ["2013-10-04 22:23:00", "2013-11-04 22:23:00", "2013-12-04 22:23:00"]
     plot(scatter(x=x, y=[1 ,3, 6]))
 end
@@ -7,7 +7,7 @@
     
     
     

     

@@ -15,9 +15,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('443641ff-e4c5-4c15-995f-5a30d3b0306f')) {
+        if (document.getElementById('4f09b624-235f-4f2b-a080-b5491256d03d')) {
     Plotly.newPlot(
-        '443641ff-e4c5-4c15-995f-5a30d3b0306f',
+        '4f09b624-235f-4f2b-a080-b5491256d03d',
         [{"y":[1,3,6],"type":"scatter","x":["2013-10-04 22:23:00","2013-11-04 22:23:00","2013-12-04 22:23:00"]}],
         {"template":{"layout":{"coloraxis":{"colorbar":{"ticks":"","outlinewidth":0}},"xaxis":{"gridcolor":"white","zerolinewidth":2,"title":{"standoff":15},"ticks":"","zerolinecolor":"white","automargin":true,"linecolor":"white"},"hovermode":"closest","paper_bgcolor":"white","geo":{"showlakes":true,"showland":true,"landcolor":"#E5ECF6","bgcolor":"white","subunitcolor":"white","lakecolor":"white"},"colorscale":{"sequential":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"diverging":[[0,"#8e0152"],[0.1,"#c51b7d"],[0.2,"#de77ae"],[0.3,"#f1b6da"],[0.4,"#fde0ef"],[0.5,"#f7f7f7"],[0.6,"#e6f5d0"],[0.7,"#b8e186"],[0.8,"#7fbc41"],[0.9,"#4d9221"],[1,"#276419"]],"sequentialminus":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]},"yaxis":{"gridcolor":"white","zerolinewidth":2,"title":{"standoff":15},"ticks":"","zerolinecolor":"white","automargin":true,"linecolor":"white"},"shapedefaults":{"line":{"color":"#2a3f5f"}},"hoverlabel":{"align":"left"},"mapbox":{"style":"light"},"polar":{"angularaxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"bgcolor":"#E5ECF6","radialaxis":{"gridcolor":"white","ticks":"","linecolor":"white"}},"autotypenumbers":"strict","font":{"color":"#2a3f5f"},"ternary":{"baxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"bgcolor":"#E5ECF6","caxis":{"gridcolor":"white","ticks":"","linecolor":"white"},"aaxis":{"gridcolor":"white","ticks":"","linecolor":"white"}},"annotationdefaults":{"arrowhead":0,"arrowwidth":1,"arrowcolor":"#2a3f5f"},"plot_bgcolor":"#E5ECF6","title":{"x":0.05},"scene":{"xaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"},"zaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"},"yaxis":{"gridcolor":"white","gridwidth":2,"backgroundcolor":"#E5ECF6","ticks":"","showbackground":true,"zerolinecolor":"white","linecolor":"white"}},"colorway":["#636efa","#EF553B","#00cc96","#ab63fa","#FFA15A","#19d3f3","#FF6692","#B6E880","#FF97FF","#FECB52"]},"data":{"barpolar":[{"type":"barpolar","marker":{"line":{"color":"#E5ECF6","width":0.5}}}],"carpet":[{"aaxis":{"gridcolor":"white","endlinecolor":"#2a3f5f","minorgridcolor":"white","startlinecolor":"#2a3f5f","linecolor":"white"},"type":"carpet","baxis":{"gridcolor":"white","endlinecolor":"#2a3f5f","minorgridcolor":"white","startlinecolor":"#2a3f5f","linecolor":"white"}}],"scatterpolar":[{"type":"scatterpolar","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"parcoords":[{"line":{"colorbar":{"ticks":"","outlinewidth":0}},"type":"parcoords"}],"scatter":[{"type":"scatter","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"histogram2dcontour":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"histogram2dcontour","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"contour":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"contour","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"scattercarpet":[{"type":"scattercarpet","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"mesh3d":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"mesh3d"}],"surface":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"surface","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]}],"scattermapbox":[{"type":"scattermapbox","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"scattergeo":[{"type":"scattergeo","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"histogram":[{"type":"histogram","marker":{"colorbar":{"ticks":"","outlinewidth":0}}}],"pie":[{"type":"pie","automargin":true}],"choropleth":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"choropleth"}],"heatmapgl":[{"colorbar":{"ticks":"","outlinewidth":0},"type":"heatmapgl","colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#460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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -27,4 +27,4 @@
         });
     
 

-
+ diff --git a/dev/examples/violin/15a14364.svg b/dev/examples/violin/15a14364.svg new file mode 100644 index 0000000..4504fa7 --- /dev/null +++ b/dev/examples/violin/15a14364.svg @@ -0,0 +1 @@ +Old Faithful30405060708090100 \ No newline at end of file diff --git a/dev/examples/violin/2e68218a.svg b/dev/examples/violin/2e68218a.svg deleted file mode 100644 index 821d288..0000000 --- a/dev/examples/violin/2e68218a.svg +++ /dev/null @@ -1 +0,0 @@ -Radial VelocityPulsar TimingOrbital Period Estimations \ No newline at end of file diff --git a/dev/examples/violin/443aaf7a.svg b/dev/examples/violin/443aaf7a.svg deleted file mode 100644 index 4bba4e6..0000000 --- a/dev/examples/violin/443aaf7a.svg +++ /dev/null @@ -1 +0,0 @@ -day 1day 200.20.40.60.811.21.4kaleradishescarrotsnormalized moisture \ No newline at end of file diff --git a/dev/examples/violin/445d6862.svg b/dev/examples/violin/445d6862.svg deleted file mode 100644 index 6cc85f8..0000000 --- a/dev/examples/violin/445d6862.svg +++ /dev/null @@ -1 +0,0 @@ -0102030405060ThurFriSatSunFemaleMaleTotal bill distributionscaled by number of bills per gender \ No newline at end of file diff --git a/dev/examples/violin/7ee6c391.svg b/dev/examples/violin/7ee6c391.svg deleted file mode 100644 index a47b39f..0000000 --- a/dev/examples/violin/7ee6c391.svg +++ /dev/null @@ -1 +0,0 @@ -sample 1−50050100150200250300violinbox \ No newline at end of file diff --git a/dev/examples/violin/9999bcfa.svg b/dev/examples/violin/9999bcfa.svg new file mode 100644 index 0000000..6e725b5 --- /dev/null +++ b/dev/examples/violin/9999bcfa.svg @@ -0,0 +1 @@ +sample 1−50050100150200250300violinbox \ No newline at end of file diff --git a/dev/examples/violin/a827a6d6.svg b/dev/examples/violin/a827a6d6.svg new file mode 100644 index 0000000..767be16 --- /dev/null +++ b/dev/examples/violin/a827a6d6.svg @@ -0,0 +1 @@ +0102030405060ThurFriSatSunFemaleMaleTotal bill distributionscaled by number of bills per gender \ No newline at end of file diff --git a/dev/examples/violin/ac1777a3.svg b/dev/examples/violin/ac1777a3.svg deleted file mode 100644 index 3b59b97..0000000 --- a/dev/examples/violin/ac1777a3.svg +++ /dev/null @@ -1 +0,0 @@ -Old Faithful30405060708090100 \ No newline at end of file diff --git a/dev/examples/violin/e2f30b4c.svg b/dev/examples/violin/e2f30b4c.svg new file mode 100644 index 0000000..9ed5048 --- /dev/null +++ b/dev/examples/violin/e2f30b4c.svg @@ -0,0 +1 @@ +day 1day 200.20.40.60.811.21.4kaleradishescarrotsnormalized moisture \ No newline at end of file diff --git a/dev/examples/violin/f520b0ae.svg b/dev/examples/violin/f520b0ae.svg new file mode 100644 index 0000000..2e62ffe --- /dev/null +++ b/dev/examples/violin/f520b0ae.svg @@ -0,0 +1 @@ +Radial VelocityPulsar TimingOrbital Period Estimations \ No newline at end of file diff --git a/dev/examples/violin/index.html b/dev/examples/violin/index.html index 915e766..e3a4b60 100644 --- a/dev/examples/violin/index.html +++ b/dev/examples/violin/index.html @@ -1,5 +1,5 @@ -Violin · PlotlyJS
GitHub

Violin

using PlotlyJS, RDatasets, DataFrames
function violin_box_overlay()
+Violin · PlotlyJS
GitHub
Violin
using PlotlyJS, RDatasets, DataFrames
function violin_box_overlay()
     y = abs.(100 .* randn(300))
     data = [
         violin(x0="sample 1", name="violin", y=y, points="all"),
@@ -7,7 +7,7 @@
     ]
     plot(data, Layout(legend=attr(x=0.95, xanchor="right")))
 end
-violin_box_overlay()
Example block output
function violin_grouped()
+violin_box_overlay()
Example block output
function violin_grouped()
     days = repeat(["day 1", "day 2"], inner=5)
     y_kale = [0.2, 0.2, 0.6, 1, 0.5, 0.4, 0.2, 0.7, 0.9, 0.1, 0.5, 0.3]
     y_radish = [0.6, 0.7, 0.3, 0.6, 0, 0.5, 0.7, 0.9, 0.5, 0.8, 0.7, 0.2]
@@ -28,7 +28,7 @@
     )
     plot(data, layout)
 end
-violin_grouped()
Example block output
function violin_nonlinear()
+violin_grouped()
Example block output
function violin_nonlinear()
     p1 = plot(
         violin(
             x=["1798-01-01", "1798-04-04", "1798-05-05",
@@ -52,7 +52,7 @@
     
     
     

     

@@ -60,9 +60,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('cbee101a-b00c-421f-85ce-e5a065b44dce')) {
+        if (document.getElementById('bbc8df54-c9ed-4933-8d25-46b5d0c7c296')) {
     Plotly.newPlot(
-        'cbee101a-b00c-421f-85ce-e5a065b44dce',
+        'bbc8df54-c9ed-4933-8d25-46b5d0c7c296',
         [{"xaxis":"x1","xcalendar":"discworld","type":"violin","name":"discworld dates","box":{"visible":true},"yaxis":"y1","orientation":"h","x":["1798-01-01","1798-04-04","1798-05-05","1798-05-05","1798-07-05","1798-07-22","1799-01-01"]},{"xaxis":"x2","xcalendar":"discworld","type":"violin","name":"categories","box":{"visible":true},"yaxis":"y2","orientation":"h","x":["A","B","C","C","C","D","G"]}],
         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         {"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true},
@@ -90,7 +90,7 @@
     43, 60, 75, 81, 46, 90, 46, 74]
     plot(violin(y=y, points="all", name="Old Faithful", meanline_visible=true))
 end
-violin_old_faithful()
Example block output
function violin_side_by_side()
+violin_old_faithful()
Example block output
function violin_side_by_side()
     # requires RDatasets and DataFrames
     tips = RDatasets.dataset("reshape2", "tips")
     parts = zip(
@@ -127,7 +127,7 @@
     )
     plot(traces, layout)
 end
-violin_side_by_side()
Example block output
function violin_style()
+violin_side_by_side()
Example block output
function violin_style()
     y1 = vcat(abs.(20 .* rand(100)), rand(UInt16, 300) .* 500 ./ typemax(UInt16))
     y2 = [25.261999999999997, 66.5419, 98.2114, 0.09070629 ]
     box = attr(fillcolor="black", line_color="black", width=0.01)
@@ -155,4 +155,4 @@
     )
     plot([trace1, trace2], layout)
 end
-violin_style()
Example block output

+violin_style()
Example block output
diff --git a/dev/index.html b/dev/index.html index eb67f31..3c2b723 100644 --- a/dev/index.html +++ b/dev/index.html @@ -1,2 +1,2 @@ -Home · PlotlyJS
GitHub

PlotlyJS

Welcome to the documentation for PlotlyJS.jl, a Julia interface to the plotly.js visualization library.

This package does not interact with the Plotly web API, but rather leverages the underlying javascript library to construct plotly graphics using all local resources. This means you do not need a Plotly account or an internet connection to use this package.

The goals of PlotlyJS.jl are:

  1. Make it convenient to construct and manipulate plotly visualizations
  2. Provide infrastructure for viewing plots on multiple frontends and saving

plotly graphics to files

Getting Help

There are three primary resources for getting help with using this library:

  1. The Julia discourse page. This is your best option if the question you have is specific to Julia. Appropriate topics include how to integrate with other Julia packages or how to use plotly features unique to PlotlyJS.jl
  2. The julia channel on the plotly discussion page. This is your best option if you want visibility from other parts of the plotly community including python and R users.
  3. GitHub Issues. This is appropriate only for bug reports or feature requests. General usage questions should not be posted to GitHub, but rather should utilize one of the discussion forums above

Installation

To install PlotlyJS.jl, open up a Julia REPL, press ] to enter package mode and type:

(v1.0) pkg> add PlotlyJS

For existing users you can run up from the package manager REPL mode to get the latest release. If after doing this plots do not show up in your chosen frontend, please run build PlotlyJS (again from pkg REPL mode) to tell Julia to download the latest release of the plotly.js javascript library.

Saving figures

PlotlyJS.jl comes with built-in support for saving figures to files via the integration between PlotlyBase.jl (a dependency of PlotlyJS.jl) and Plotly's kaleido tool.

See exporting figures for more information.

Plots.jl

If you would like to have a more exhaustive set of top-level functions for constructing plots, see the Plots.jl package. This package is the plotlyjs Plots.jl backend and is fully supported by Plots.

+Home · PlotlyJS
GitHub

PlotlyJS

Welcome to the documentation for PlotlyJS.jl, a Julia interface to the plotly.js visualization library.

This package does not interact with the Plotly web API, but rather leverages the underlying javascript library to construct plotly graphics using all local resources. This means you do not need a Plotly account or an internet connection to use this package.

The goals of PlotlyJS.jl are:

  1. Make it convenient to construct and manipulate plotly visualizations
  2. Provide infrastructure for viewing plots on multiple frontends and saving

plotly graphics to files

Getting Help

There are three primary resources for getting help with using this library:

  1. The Julia discourse page. This is your best option if the question you have is specific to Julia. Appropriate topics include how to integrate with other Julia packages or how to use plotly features unique to PlotlyJS.jl
  2. The julia channel on the plotly discussion page. This is your best option if you want visibility from other parts of the plotly community including python and R users.
  3. GitHub Issues. This is appropriate only for bug reports or feature requests. General usage questions should not be posted to GitHub, but rather should utilize one of the discussion forums above

Installation

To install PlotlyJS.jl, open up a Julia REPL, press ] to enter package mode and type:

(v1.0) pkg> add PlotlyJS

For existing users you can run up from the package manager REPL mode to get the latest release. If after doing this plots do not show up in your chosen frontend, please run build PlotlyJS (again from pkg REPL mode) to tell Julia to download the latest release of the plotly.js javascript library.

Saving figures

PlotlyJS.jl comes with built-in support for saving figures to files via the integration between PlotlyBase.jl (a dependency of PlotlyJS.jl) and Plotly's kaleido tool.

See exporting figures for more information.

Plots.jl

If you would like to have a more exhaustive set of top-level functions for constructing plots, see the Plots.jl package. This package is the plotlyjs Plots.jl backend and is fully supported by Plots.

diff --git a/dev/manipulating_plots/207200ea.svg b/dev/manipulating_plots/207200ea.svg deleted file mode 100644 index cc57055..0000000 --- a/dev/manipulating_plots/207200ea.svg +++ /dev/null @@ -1 +0,0 @@ -0246810−4−3−2−111.522.533.540246trace 2trace 1Random Walk \ No newline at end of file diff --git a/dev/manipulating_plots/35c183a6.svg b/dev/manipulating_plots/35c183a6.svg new file mode 100644 index 0000000..9d9c2c9 --- /dev/null +++ b/dev/manipulating_plots/35c183a6.svg @@ -0,0 +1 @@ +11.5211.5211.5211.5211.5211.5211.21.41.61.8211.5211.5211.5211.5211.52(1,1)(1,2)(2,1)(3,1)(5,1)(5,2)specs examples \ No newline at end of file diff --git a/dev/manipulating_plots/3b889a2c.svg b/dev/manipulating_plots/3b889a2c.svg new file mode 100644 index 0000000..83c96d3 --- /dev/null +++ b/dev/manipulating_plots/3b889a2c.svg @@ -0,0 +1 @@ +00.511.52−1−0.500.511.5−4−20240510152025trace 0trace 1 \ No newline at end of file diff --git a/dev/manipulating_plots/3cc2fca9.svg b/dev/manipulating_plots/3cc2fca9.svg new file mode 100644 index 0000000..fb924f1 --- /dev/null +++ b/dev/manipulating_plots/3cc2fca9.svg @@ -0,0 +1 @@ +00.511.52−101−4−2024010200510−4−3−2−112340246trace 4trace 3Random Walktrace 1trace 0 \ No newline at end of file diff --git a/dev/manipulating_plots/42dbabf5.svg b/dev/manipulating_plots/42dbabf5.svg deleted file mode 100644 index 8ed3b94..0000000 --- a/dev/manipulating_plots/42dbabf5.svg +++ /dev/null @@ -1 +0,0 @@ -00.511.52−101−4−2024010200510−4−3−2−112340246trace 4trace 3Random Walktrace 1trace 0 \ No newline at end of file diff --git a/dev/manipulating_plots/88856238.svg b/dev/manipulating_plots/88856238.svg deleted file mode 100644 index ba21569..0000000 --- a/dev/manipulating_plots/88856238.svg +++ /dev/null @@ -1 +0,0 @@ -00.511.52−1−0.500.511.5−4−20240510152025trace 0trace 1 \ No newline at end of file diff --git a/dev/manipulating_plots/b8a14de1.svg b/dev/manipulating_plots/b8a14de1.svg new file mode 100644 index 0000000..c233ac5 --- /dev/null +++ b/dev/manipulating_plots/b8a14de1.svg @@ -0,0 +1 @@ +0246810−4−3−2−111.522.533.540246trace 2trace 1Random Walk \ No newline at end of file diff --git a/dev/manipulating_plots/dcf57689.svg b/dev/manipulating_plots/dcf57689.svg new file mode 100644 index 0000000..13639d8 --- /dev/null +++ b/dev/manipulating_plots/dcf57689.svg @@ -0,0 +1 @@ +00.511.52−1012−4−2024010200510−4−3−2−112340246−4−2024010201234024600.511.52−1012trace 8trace 7trace 6trace 5trace 4trace 3Random Walktrace 1trace 0 \ No newline at end of file diff --git a/dev/manipulating_plots/e8ec1ba7.svg b/dev/manipulating_plots/e8ec1ba7.svg deleted file mode 100644 index 34e303f..0000000 --- a/dev/manipulating_plots/e8ec1ba7.svg +++ /dev/null @@ -1 +0,0 @@ -11.5211.5211.5211.5211.5211.5211.21.41.61.8211.5211.5211.5211.5211.52(1,1)(1,2)(2,1)(3,1)(5,1)(5,2)specs examples \ No newline at end of file diff --git a/dev/manipulating_plots/f52faed1.svg b/dev/manipulating_plots/f52faed1.svg deleted file mode 100644 index 1d1d0f4..0000000 --- a/dev/manipulating_plots/f52faed1.svg +++ /dev/null @@ -1 +0,0 @@ -00.511.52−1012−4−2024010200510−4−3−2−112340246−4−2024010201234024600.511.52−1012trace 8trace 7trace 6trace 5trace 4trace 3Random Walktrace 1trace 0 \ No newline at end of file diff --git a/dev/manipulating_plots/index.html b/dev/manipulating_plots/index.html index 4c125c8..c96fd6d 100644 --- a/dev/manipulating_plots/index.html +++ b/dev/manipulating_plots/index.html @@ -1,5 +1,5 @@ -Working with plots · PlotlyJS
GitHub

<!– TODO: create API docs from docstrings and add link below –>

There are various methods defined on the Plot type. We will cover a few of them here, but consult the (forthcoming) API docs for more exhaustive coverage.

Julia functions

Plot and SyncPlot both have implementations of common Julia methods:

  • size: returns the width and layout attributes in the plot's layout
  • copy: create a shallow copy of all traces in the plot and the layout, but

create a new divid

API functions

All exported functions from the plotly.js API have been exposed to Julia and operate on both Plot and SyncPlot instances. Each of these functions has semantics that match the semantics of plotly.js

In PlotlyJS.jl these functions are spelled:

  • restyle!: edit attributes on one or more traces
  • relayout!: edit attributes on the layout
  • update!: combination of restyle! and relayout!
  • react!: In place updating of all traces and layout in plot. More efficient than constructing an entirely new plot from scratch, but has the same effect.
  • addtraces!: add traces to a plot at specified indices
  • deletetraces!: delete specific traces from a plot
  • movetraces!: reorder traces in a plot
  • redraw!: for a redraw of an entire plot
  • purge!: completely remove all data and layout from the chart
  • extendtraces!: Extend specific attributes of one or more traces with more data by appending to the end of the attribute
  • prependtraces!: Prepend additional data to specific attributes on one or more traces

When any of these routines is called on a SyncPlot the underlying Plot object (in the plot field on the SyncPlot) is updated and the plotly.js function is called. This is where SyncPlot gets its name: when modifying a plot, it keeps the Julia object and the display in sync.

<!– TODO: create API docs from docstrings and add link below –>

For more details on which methods are available for each of the above functions consult the docstrings or (forthcoming) API documentation.

Note

Be especially careful when trying to use restyle!, extendtraces!, and prependtraces! to set attributes that are arrays. The semantics are a bit subtle. Check the docstring for details and examples

Subplots

A common task is to construct subpots, or plots with more than one set of axes. This is possible using the declarative plotly.js syntax, but can be tedious at best.

PlotlyJS.jl provides a convenient syntax for constructing what we will call regular grids of subplots. By regular we mean a square grid of plots.

To do this we will make a pun of the vcat, hcat, and hvcat functions from Base and leverage the array construction syntax to build up our subplots.

Suppose we are working with the following plots:


julia> p1 = Plot(scatter(;y=randn(3)))data: [
+Working with plots · PlotlyJS
GitHub
<!– TODO: create API docs from docstrings and add link below –>
There are various methods defined on the Plot type. We will cover a few of them here, but consult the (forthcoming) API docs for more exhaustive coverage.
Julia functions
Plot and SyncPlot both have implementations of common Julia methods:
  • size: returns the width and layout attributes in the plot's layout
  • copy: create a shallow copy of all traces in the plot and the layout, but
create a new divid
API functions
All exported functions from the plotly.js API have been exposed to Julia and operate on both Plot and SyncPlot instances. Each of these functions has semantics that match the semantics of plotly.js
In PlotlyJS.jl these functions are spelled:
  • restyle!: edit attributes on one or more traces
  • relayout!: edit attributes on the layout
  • update!: combination of restyle! and relayout!
  • react!: In place updating of all traces and layout in plot. More efficient than constructing an entirely new plot from scratch, but has the same effect.
  • addtraces!: add traces to a plot at specified indices
  • deletetraces!: delete specific traces from a plot
  • movetraces!: reorder traces in a plot
  • redraw!: for a redraw of an entire plot
  • purge!: completely remove all data and layout from the chart
  • extendtraces!: Extend specific attributes of one or more traces with more data by appending to the end of the attribute
  • prependtraces!: Prepend additional data to specific attributes on one or more traces
When any of these routines is called on a SyncPlot the underlying Plot object (in the plot field on the SyncPlot) is updated and the plotly.js function is called. This is where SyncPlot gets its name: when modifying a plot, it keeps the Julia object and the display in sync.
<!– TODO: create API docs from docstrings and add link below –>
For more details on which methods are available for each of the above functions consult the docstrings or (forthcoming) API documentation.
Note
Be especially careful when trying to use restyle!, extendtraces!, and prependtraces! to set attributes that are arrays. The semantics are a bit subtle. Check the docstring for details and examples
Subplots
A common task is to construct subpots, or plots with more than one set of axes. This is possible using the declarative plotly.js syntax, but can be tedious at best.
PlotlyJS.jl provides a convenient syntax for constructing what we will call regular grids of subplots. By regular we mean a square grid of plots.
To do this we will make a pun of the vcat, hcat, and hvcat functions from Base and leverage the array construction syntax to build up our subplots.
Suppose we are working with the following plots:

julia> p1 = Plot(scatter(;y=randn(3)))data: [
   "scatter with fields type and y"
 ]
 
@@ -17,8 +17,8 @@
   "scatter with fields fill, type, x, and y"
 ]
 
-layout: "layout with fields margin and template"
If we wanted to combine p1 and p2 as subplots side-by-side, we would do
[p1 p2]
Example block output
If instead we wanted two rows and one column we could
[p3; p4]
Example block output
Finally, we can make a 2x2 grid of subplots:
[p1 p2
- p3 p4]
Example block output
Note
New in PlotlyBase version 0.6.5 (PlotlyJS version 0.16.4)
As of version 0.16.4, we can also create a non-rectangular grid of subplots using this syntax.
For example:
[p1 p2 p3 p4; p2 p4; p1]
Example block output
make_subplots
Note
New in PlotlyBase version 0.6.4 (PlotlyJS version 0.16.3)
As of version 0.16.3, there is another option for creaing subplots: the make_subplots function
This function takes a number of keyword arguments and allows fine grained control over the layout and labels for subplots.
Consider the example below:
p = make_subplots(
+layout: "layout with fields margin and template"
If we wanted to combine p1 and p2 as subplots side-by-side, we would do
[p1 p2]
Example block output
If instead we wanted two rows and one column we could
[p3; p4]
Example block output
Finally, we can make a 2x2 grid of subplots:
[p1 p2
+ p3 p4]
Example block output
Note
New in PlotlyBase version 0.6.5 (PlotlyJS version 0.16.4)
As of version 0.16.4, we can also create a non-rectangular grid of subplots using this syntax.
For example:
[p1 p2 p3 p4; p2 p4; p1]
Example block output
make_subplots
Note
New in PlotlyBase version 0.6.4 (PlotlyJS version 0.16.3)
As of version 0.16.3, there is another option for creaing subplots: the make_subplots function
This function takes a number of keyword arguments and allows fine grained control over the layout and labels for subplots.
Consider the example below:
p = make_subplots(
     rows=5, cols=2,
     specs=[Spec() Spec(rowspan=2)
            Spec() missing
@@ -35,13 +35,13 @@
 add_trace!(p, scatter(x=[1, 2], y=[1, 2], name="(5,2)"), row=5, col=2)
 
 relayout!(p, height=600, width=600, title_text="specs examples")
-p.plot
Example block output
More examples are being worked on at this time (2021-07-14), but for now you can view the docs for make_subplots to get an idea of what else is possible.
Saving figures
Figures can be saved in a variety of formats using the savefig function.
Note
Note that the docs below are shown for the PlotlyBase.Plot type, but are also defined for PlotlyJS.SyncPlot. Thus, you can use these methods after calling either plot or Plot.
This function has a few methods:
1
PlotlyJS.savefig — Method
savefig(
+p.plot
Example block output
More examples are being worked on at this time (2021-07-14), but for now you can view the docs for make_subplots to get an idea of what else is possible.
Saving figures
Figures can be saved in a variety of formats using the savefig function.
Note
Note that the docs below are shown for the PlotlyBase.Plot type, but are also defined for PlotlyJS.SyncPlot. Thus, you can use these methods after calling either plot or Plot.
This function has a few methods:
1
PlotlyJS.savefig — Method
savefig(
     p::Plot, fn::AbstractString;
     format::Union{Nothing,String}=nothing,
     width::Union{Nothing,Int}=nothing,
     height::Union{Nothing,Int}=nothing,
     scale::Union{Nothing,Real}=nothing,
-)
Save a plot p to a file named fn. If format is given and is one of png, jpeg, webp, svg, pdf, eps, json, or html; it will be the format of the file. By default the format is guessed from the extension of fn. scale sets the image scale. width and height set the dimensions, in pixels. Defaults are taken from p.layout, or supplied by plotly
source
When using this method the format of the file is inferred based on the extension of the second argument. The examples below show the possible export formats:
savefig(p::Union{Plot,SyncPlot}, "output_filename.pdf")
+)
Save a plot p to a file named fn. If format is given and is one of png, jpeg, webp, svg, pdf, eps, json, or html; it will be the format of the file. By default the format is guessed from the extension of fn. scale sets the image scale. width and height set the dimensions, in pixels. Defaults are taken from p.layout, or supplied by plotly
source
When using this method the format of the file is inferred based on the extension of the second argument. The examples below show the possible export formats:
savefig(p::Union{Plot,SyncPlot}, "output_filename.pdf")
 savefig(p::Union{Plot,SyncPlot}, "output_filename.html")
 savefig(p::Union{Plot,SyncPlot}, "output_filename.json")
 savefig(p::Union{Plot,SyncPlot}, "output_filename.png")
@@ -60,4 +60,4 @@
 savefig(io::IO, ::MIME"image/eps", p::Union{Plot,SyncPlot})
 savefig(io::IO, ::MIME"image/jpeg", p::Union{Plot,SyncPlot})
 savefig(io::IO, ::MIME"application/json", p::Union{Plot,SyncPlot})
-savefig(io::IO, ::MIME"application/json; charset=UTF-8", p::Union{Plot,SyncPlot})
Note
You can also save the json for a figure by calling savejson(p::Union{Plot,SyncPlot}, filename::String).

+savefig(io::IO, ::MIME"application/json; charset=UTF-8", p::Union{Plot,SyncPlot})
Note

You can also save the json for a figure by calling savejson(p::Union{Plot,SyncPlot}, filename::String).

diff --git a/dev/objects.inv b/dev/objects.inv new file mode 100644 index 0000000000000000000000000000000000000000..46574ec8ac36d49ff4e5ff2357aa45b7ed1e06f0 GIT binary patch literal 1730 zcmV;z20i&BAX9K?X>NERX>N99Zgg*Qc_4OWa&u{KZXhxWBOp+6Z)#;@bUGkVY;SaI zc}i0XBOq2~a&u{KZaN?^E-^SRF*6DyAXI2&AaZ4GVQFq;WpW^IW*~HEX>%ZEX>4U6 zX>%ZBZ*6dLWpi_7WFU2OX>MmAdTeQ8E(&;@#aKyi+%^=x>sK&n=Vn<=Tr_}@%h=Pz z4wA-zChl>-(J&q++CWi`r$+vJ9~W^MQHu)~Im9FJEqv?uo0A(DI$~J(6cpR+XI5 zZ7a1q;_i8ZE}gfCJm8|vNt2xITnXnmL1#P5h8e*@MnOo>68>7|EoMPpIEScV=5SUI zeXsjekg6Wgjda#fg?CjOzDd)R)9_%WzCh;7j0B}LEkSSP1I0PI++*fmx+jUuK5&;JC1@>w9TCEyjSpcNMFS!A;7HK|B1J^| zhb1i?q~Qgn^2KVnrxk=dD6B{cx|P2XuBpoguh1(u*JxE`O_UOe2Ql95D5q74^B9sP zTU48t<1NX@FzAHL?nnZ&ZABh_#52gV!%WuIc- z`>HZfM^`TL_f;9}m(0-LZ9z&NP}a9`MVlHNjDhln-nA?sN*zXEs?M<0hHX``6h@zZD114uHStp=E2jgbt1x$#I& z1TG77Qpjw%B3L`(Kqm(_6cGcnqX=+&LO~1bo&lSoAF1L+H0XGxjhtQ+!@3f3+SiHXI=~%p8`4`J9Z=gA67`Y=k z;Y8KN3vHz!pP*aJFuQxaF8Lq7{}{K^RkC>X(wHh(7OyTBuYOa?;7F70R zCxDRJfa^~u=yM51KN^N^P@l-Y9k%CKm$>qivO#LpR(U!VSw8uON#|f&3x!8IVxrU~ zMW$*ZT1H_wR4PJ#)I9YeBXbOC-fy<7`VMWS4NU<~%DZu6LV|Fi675}6RQJJJ>Fm2D zqHlH03>=T!V{ZsY$5-hV)CBq16$TtL`hyV#mciawmWK&9-AJapzt#WwNbp1YV<;Xo?oQdV)>~e9o>|S-m#jT=X z)vpg&v}B>jtrRieNPxc>o@1>Qb;*ekoYSW(&Mr}L4UQymauuXWqpAp zcFA0uT0gEfgO}^UQTCrD<(cwX;V`^P&xJOH>7Ah~SuhgTbrgcFDbG|iMmu6?U3kK3 zIkgXrE|#h-Ym!YAXhvC<&#BP;%u1fgRx?u1?nRHe*NoR?L->T7W|x_`$yr(^8nmm6 zC1dyiy=J75, :developer=>:25, :designer=>0, :label=>\"point 1\"),\n Dict(:journalist=>70, :developer=>:10, :designer=>20, :label=>\"point 2\"),\n Dict(:journalist=>75, :developer=>:20, :designer=>5, :label=>\"point 3\"),\n Dict(:journalist=>5, :developer=>:60, :designer=>35, :label=>\"point 4\"),\n Dict(:journalist=>10, :developer=>:80, :designer=>10, :label=>\"point 5\"),\n Dict(:journalist=>10, :developer=>:90, :designer=>0, :label=>\"point 6\"),\n Dict(:journalist=>20, :developer=>:70, :designer=>10, :label=>\"point 7\"),\n Dict(:journalist=>10, :developer=>:20, :designer=>70, :label=>\"point 8\"),\n Dict(:journalist=>15, :developer=>:5, :designer=>80, :label=>\"point 9\"),\n Dict(:journalist=>10, :developer=>:10, :designer=>80, :label=>\"point 10\"),\n Dict(:journalist=>20, :developer=>:10, :designer=>70, :label=>\"point 11\")\n ]\n\n t = scatterternary(\n mode=\"markers\",\n a=[_x[:journalist] for _x in raw_data],\n b=[_x[:developer] for _x in raw_data],\n c=[_x[:designer] for _x in raw_data],\n text=[_x[:label] for _x in raw_data],\n marker=attr(symbol=100, color=\"#DB7365\", size=14, line_width=2)\n )\n layout = Layout(\n ternary=attr(\n sum=100,\n aaxis=make_ax(\"Journalist\", 0),\n baxis=make_ax(\"Developer\", 45),\n caxis=make_ax(\"Designer\", -45),\n bgcolor=\"#fff1e0\",\n ), annotations=attr(\n showarrow=false,\n text=\"Replica of Tom Pearson's block\",\n x=1.0, y=1.3, font_size=15\n ),\n paper_bgcolor=\"#fff1e0\"\n )\n plot(t, layout)\nend\nternary_markers()","category":"page"},{"location":"examples/ternary/","page":"Ternary","title":"Ternary","text":"function filled_ternary()\n function make_ax(title)\n attr(\n title=title,\n ticksuffix=\"%\",\n min=0.01,\n linewidth=2,\n ticks=\"outside\",\n ticklen=8,\n showgrid=true\n )\n end\n\n fn = tempname()\n download(\"https://gist.githubusercontent.com/davenquinn/988167471993bc2ece29/raw/f38d9cb3dd86e315e237fde5d65e185c39c931c2/data.json\", fn)\n raw_data = JSON.parsefile(fn)\n rm(fn)\n\n colors = [\n \"#8dd3c7\",\n \"#ffffb3\",\n \"#bebada\",\n \"#fb8072\",\n \"#80b1d3\",\n \"#fdb462\",\n \"#b3de69\",\n \"#fccde5\",\n \"#d9d9d9\",\n \"#bc80bd\",\n \"#ccebc5\",\n \"#ffed6f\"\n ]\n\n traces = Array{GenericTrace,1}(undef, length(raw_data))\n for (i, (k, v)) in enumerate(raw_data)\n traces[i] = scatterternary(mode=\"lines\", name=k,\n a=[_x[\"clay\"] for _x in v],\n b=[_x[\"sand\"] for _x in v],\n c=[_x[\"silt\"] for _x in v],\n line_color=\"#444\",\n fill=\"toself\",\n fillcolor=colors[i],\n hoveron=\"fills+points\"\n )\n end\n layout = Layout(\n ternary=attr(\n sum=100,\n aaxis=make_ax(\"Clay\"),\n baxis=make_ax(\"Sand\"),\n caxis=make_ax(\"Slit\")),\n showlegend=false,\n width=700,\n annotations=[attr(\n showarrow=false, x=0.15, y=1.1, text=\"Soil types fill plot\"\n )]\n )\n plot(traces, layout)\nend\nfilled_ternary()","category":"page"},{"location":"contributing/#Contributing","page":"Contributing","title":"Contributing","text":"","category":"section"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"Contributions are welcome! For a quick list at the things on our radar, check out the issue list.","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"If submitting pull requests on GitHub is intimidating, we're happy to help you work through getting your code polished up and included in the right places.","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"Other projects that are helpful are:","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"Adding docstrings to function names\nAdding more examples to the documentation (see below)\nSubmitting feature requests or bug reports","category":"page"},{"location":"contributing/#Documentation","page":"Contributing","title":"Documentation","text":"","category":"section"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"The documentation for PlotlyJS.jl is contained in the docs directory of this repository.","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"Docs are build using the Documenter.jl package and can be built following these steps:","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"Change into the docs directory\nStart julia\nActivate the docs project by entering package mode (]) and then running activate .\nExecute include(\"make.jl\") from the Julia prompt","category":"page"},{"location":"contributing/#Adding-Examples","page":"Contributing","title":"Adding Examples","text":"","category":"section"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"tl;dr: adding examples to the docs is as easy as 1, 2, 3...","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"Add a new function that returns a SyncPlot to a Julia (.jl) file in the examples directory\nRun the Julia script docs/build_example_docs.jl to re-generate the markdown source for the examples section of the docs\nRebuild the site using one of the instructions above","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"One of the most helpful things users can do to contribute to the documentation is to add more examples. These are automatically generated from the Julia (.jl) files in the examples directory. To add a new example, you simply need to open one of the files in that directory and add a new 0 argument function that constructs and returns a SyncPlot object (this is the output of the plot function).","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"For example, if we wanted to add an example of a scatter plot of the sin function we could add the following function definition inside the examples/line_scatter.jl file:","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"function sin_scatter()\n x = range(0, stop=2*pi, length=50)\n y = sin(x)\n plot(scatter(x=x, y=y, marker_symbol=\"line-nw\", mode=\"markers+symbols\"))\nend","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"The next step is to have Julia re-build the markdown (.md) files in docs/examples to use all your new functions in the Julia files from the examples folder. To do this run the script docs/build_example_docs.jl. If I were in the root directory of the repository, I could do this by running julia docs/build_example_docs.jl.","category":"page"},{"location":"contributing/","page":"Contributing","title":"Contributing","text":"The final step is to build the docs again using one of the commands from above.","category":"page"},{"location":"basics/#Basics","page":"Preliminaries","title":"Basics","text":"","category":"section"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"[plotly.js][_plotlyjs] figures are constructed by calling the function:","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"Plotly.newPlot(divid, data, layout, config, frames)","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"where","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"divid is an html div element where the plot should appear\ndata is an array of JSON objects describing the various traces in the visualization\nlayout is a JSON object describing the layout properties of the visualization.\nconfig is a JSON object describing the configuration properties of the visualization. See more detail here\nframes can contain data and layout objects, which define any changes to be animated, and a traces object that defines which traces to animate.","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"The divid argument is handled automatically by one of the supported frontends, so users of this package will mostly be concerned about constructing the data, layout, and (optionally) config and frames arguments.","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"For a complete list of traces and their attributes see the [plotly.js chart attribute reference][_plotlyref].","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"","category":"page"},{"location":"basics/#Julia-types","page":"Preliminaries","title":"Julia types","text":"","category":"section"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"There are a handful of core Julia types for representing a visualization","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"These are","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"abstract type AbstractTrace end\nabstract type AbstractLayout end\n\nmutable struct GenericTrace{T <: AbstractDict{Symbol,Any}} <: AbstractTrace\n fields::T\nend\n\nmutable struct Layout{T <: AbstractDict{Symbol,Any}} <: AbstractLayout\n fields::T\n subplots::_Maybe{Subplots}\nend\n\nmutable struct PlotlyFrame{T <: AbstractDict{Symbol,Any}} <: AbstractPlotlyAttribute\n fields::T\nend\n\nmutable struct Plot{TT<:AbstractVector{<:AbstractTrace},TL<:AbstractLayout,TF<:AbstractVector{<:PlotlyFrame}}\n data::TT\n layout::TL\n divid::UUID\n config::PlotConfig\n frames::TF\nend","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"The data, layout, divid, config, and frames fields of the Plot type map 1-1 to the arguments to the Plotly.newplot function.","category":"page"},{"location":"basics/","page":"Preliminaries","title":"Preliminaries","text":"[plotlyjs]: https://plotly.com/javascript/ [plotlyref]: https://plotly.com/julia/reference/","category":"page"},{"location":"examples/time_series/#Time-Series","page":"Time Series","title":"Time Series","text":"","category":"section"},{"location":"examples/time_series/","page":"Time Series","title":"Time Series","text":"using PlotlyJS","category":"page"},{"location":"examples/time_series/","page":"Time Series","title":"Time Series","text":"function datetimestrings()\n x = [\"2013-10-04 22:23:00\", \"2013-11-04 22:23:00\", \"2013-12-04 22:23:00\"]\n plot(scatter(x=x, y=[1 ,3, 6]))\nend\ndatetimestrings()","category":"page"},{"location":"examples/shapes/#Shapes","page":"Shapes","title":"Shapes","text":"","category":"section"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"using PlotlyJS, Distributions","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function house()\n trace1 = scatter()\n x0 = [2, 2, 5.5, 9, 9, 2, 5, 5, 6]\n y0 = [1, 5.5, 9.5, 5.5, 1, 5.5, 1, 4, 4]\n x1 = [2, 5.5, 9, 9, 2, 9, 5, 6, 6]\n y1 = [5.5, 9.5, 5.5, 1, 1, 5.5, 4, 4, 1]\n shapes = line(x0, x1, y0, y1; xref=\"x\", yref=\"y\")\n plot([trace1],\n Layout(;shapes=shapes, xaxis_range=(1, 10), yaxis_range=(0, 10)))\nend\nhouse()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function house2()\n trace1 = scatter()\n _p = string(\"M 2 1 L 2 5.5 L 5.5 9.6 L 9 5.5 L 9 1 L 2 1 \",\n \"M 2 5.5 L 9 5.5 \",\n \"M 5 1 L 5 4 L 6 4 L 6 1 Z\")\n plot([trace1],\n Layout(;shapes=[path(_p)], xaxis_range=(1, 10), yaxis_range=(0, 10)))\nend\nhouse2()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function clusters()\n x0 = rand(Normal(2, 0.45), 300)\n y0 = rand(Normal(2, 0.45), 300)\n x1 = rand(Normal(6, 0.4), 200)\n y1 = rand(Normal(6, 0.4), 200)\n x2 = rand(Normal(4, 0.3), 200)\n y2 = rand(Normal(4, 0.3), 200)\n\n data = [scatter(;x=x0, y=y0, mode=\"markers\"),\n scatter(;x=x1, y=y1, mode=\"markers\"),\n scatter(;x=x2, y=y2, mode=\"markers\"),\n scatter(;x=x1, y=y0, mode=\"markers\")]\n\n args = [(x0, y0, \"blue\"), (x1, y1, \"orange\"), (x2, y2, \"green\"),\n (x1, y0, \"red\")]\n shapes = [circle(x0=minimum(x), y0=minimum(y),\n x1=maximum(x), y1=maximum(y);\n opacity=0.2, fillcolor=c, line_color=c)\n for (x, y, c) in args]\n plot(data, Layout(;height=400, width=480, showlegend=false, shapes=shapes))\nend\nclusters()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function temperature()\n x = [\"2015-02-01\", \"2015-02-02\", \"2015-02-03\", \"2015-02-04\", \"2015-02-05\",\n \"2015-02-06\", \"2015-02-07\", \"2015-02-08\", \"2015-02-09\", \"2015-02-10\",\n \"2015-02-11\", \"2015-02-12\", \"2015-02-13\", \"2015-02-14\", \"2015-02-15\",\n \"2015-02-16\", \"2015-02-17\", \"2015-02-18\", \"2015-02-19\", \"2015-02-20\",\n \"2015-02-21\", \"2015-02-22\", \"2015-02-23\", \"2015-02-24\", \"2015-02-25\",\n \"2015-02-26\", \"2015-02-27\", \"2015-02-28\"]\n y = rand(1:20, length(x))\n data = scatter(;x=x, y=y, name=\"temperature\", mode=\"line\")\n\n shapes = rect([\"2015-02-04\", \"2015-02-20\"], [\"2015-02-06\", \"2015-02-22\"],\n 0, 1; fillcolor=\"#d3d3d3\", opacity=0.2, line_width=0,\n xref=\"x\", yref=\"paper\")\n plot(data, Layout(shapes=shapes, width=500, height=500))\nend\ntemperature()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function vlines1()\n # one scalar argument produces one line. Need to wrap in an array because\n # layout.shapes should be an array\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = [vline(2)]\n plot([trace1], Layout(;shapes=shapes))\nend\nvlines1()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function vlines2()\n # one argument draws a vertical line up the entire plot\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = vline([2, 6])\n plot([trace1], Layout(;shapes=shapes))\nend\nvlines2()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function vlines3()\n # yref paper makes the 2nd and 3rd arguments on a (0, 1) scale vertically\n # so 0.5 is 1/2 through the plot regardless of the values on y-axis\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = vline([2, 6], 0, 0.5; yref=\"paper\")\n plot([trace1], Layout(;shapes=shapes))\nend\nvlines3()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function vlines4()\n # Whichever argument is a scalar is repeated\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = vline([2, 6], 0, [0.5, 0.75]; yref=\"paper\")\n plot([trace1], Layout(;shapes=shapes))\nend\nvlines4()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function vlines5()\n # we can also set arbitrary line attributes line color and dash\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = vline([2, 6], 0, [0.5, 0.75]; yref=\"paper\",\n line_color=\"green\", line_dash=\"dashdot\")\n plot([trace1], Layout(;shapes=shapes))\nend\nvlines5()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function hlines1()\n # one scalar argument produces one line. Need to wrap in an array because\n # layout.shapes should be an array\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = [hline(2)]\n plot([trace1], Layout(;shapes=shapes))\nend\nhlines1()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function hlines2()\n # one argument draws a horizontal line across the entire plot\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = hline([25, 81])\n plot([trace1], Layout(;shapes=shapes))\nend\nhlines2()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function hlines3()\n # xref paper makes the 2nd and 3rd arguments on a (0, 1) scale horizontally\n # so 0.5 is 1/2 through the plot regardless of the values on x-axis\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = hline([25, 81], 0, 0.5; xref=\"paper\")\n plot([trace1], Layout(;shapes=shapes))\nend\nhlines3()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function hlines4()\n # Whichever argument is a scalar is repeated\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = hline([25, 81], 0, [0.5, 0.75]; xref=\"paper\")\n plot([trace1], Layout(;shapes=shapes))\nend\nhlines4()","category":"page"},{"location":"examples/shapes/","page":"Shapes","title":"Shapes","text":"function hlines5()\n # we can also set arbitrary line attributes line color and dash\n trace1 = scatter(;x=1:10, y=(1:10).^2)\n shapes = hline([25, 81], 0, [0.5, 0.75]; xref=\"paper\",\n line_color=\"green\", line_dash=\"dashdot\")\n plot([trace1], Layout(;shapes=shapes))\nend\nhlines5()","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"There are various methods defined on the Plot type. We will cover a few of them here, but consult the (forthcoming) API docs for more exhaustive coverage.","category":"page"},{"location":"manipulating_plots/#Julia-functions","page":"Working with plots","title":"Julia functions","text":"","category":"section"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"Plot and SyncPlot both have implementations of common Julia methods:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"size: returns the width and layout attributes in the plot's layout\ncopy: create a shallow copy of all traces in the plot and the layout, but","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"create a new divid","category":"page"},{"location":"manipulating_plots/#API-functions","page":"Working with plots","title":"API functions","text":"","category":"section"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"All exported functions from the plotly.js API have been exposed to Julia and operate on both Plot and SyncPlot instances. Each of these functions has semantics that match the semantics of plotly.js","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"In PlotlyJS.jl these functions are spelled:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"restyle!: edit attributes on one or more traces\nrelayout!: edit attributes on the layout\nupdate!: combination of restyle! and relayout!\nreact!: In place updating of all traces and layout in plot. More efficient than constructing an entirely new plot from scratch, but has the same effect.\naddtraces!: add traces to a plot at specified indices\ndeletetraces!: delete specific traces from a plot\nmovetraces!: reorder traces in a plot\nredraw!: for a redraw of an entire plot\npurge!: completely remove all data and layout from the chart\nextendtraces!: Extend specific attributes of one or more traces with more data by appending to the end of the attribute\nprependtraces!: Prepend additional data to specific attributes on one or more traces","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"When any of these routines is called on a SyncPlot the underlying Plot object (in the plot field on the SyncPlot) is updated and the plotly.js function is called. This is where SyncPlot gets its name: when modifying a plot, it keeps the Julia object and the display in sync.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"For more details on which methods are available for each of the above functions consult the docstrings or (forthcoming) API documentation.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"note: Note\nBe especially careful when trying to use restyle!, extendtraces!, and prependtraces! to set attributes that are arrays. The semantics are a bit subtle. Check the docstring for details and examples","category":"page"},{"location":"manipulating_plots/#Subplots","page":"Working with plots","title":"Subplots","text":"","category":"section"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"A common task is to construct subpots, or plots with more than one set of axes. This is possible using the declarative plotly.js syntax, but can be tedious at best.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"PlotlyJS.jl provides a convenient syntax for constructing what we will call regular grids of subplots. By regular we mean a square grid of plots.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"To do this we will make a pun of the vcat, hcat, and hvcat functions from Base and leverage the array construction syntax to build up our subplots.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"Suppose we are working with the following plots:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"using PlotlyJS # hide\np1 = Plot(scatter(;y=randn(3)))\np2 = Plot(histogram(;x=randn(50), nbinsx=4))\np3 = Plot(scatter(;y=cumsum(randn(12)), name=\"Random Walk\"))\np4 = Plot([scatter(;x=1:4, y=[0, 2, 3, 5], fill=\"tozeroy\"),\n scatter(;x=1:4, y=[3, 5, 1, 7], fill=\"tonexty\")])","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"If we wanted to combine p1 and p2 as subplots side-by-side, we would do","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"[p1 p2]","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"If instead we wanted two rows and one column we could","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"[p3; p4]","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"Finally, we can make a 2x2 grid of subplots:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"[p1 p2\n p3 p4]","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"note: Note\nNew in PlotlyBase version 0.6.5 (PlotlyJS version 0.16.4)","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"As of version 0.16.4, we can also create a non-rectangular grid of subplots using this syntax.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"For example:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"[p1 p2 p3 p4; p2 p4; p1]","category":"page"},{"location":"manipulating_plots/#make_subplots","page":"Working with plots","title":"make_subplots","text":"","category":"section"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"note: Note\nNew in PlotlyBase version 0.6.4 (PlotlyJS version 0.16.3)","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"As of version 0.16.3, there is another option for creaing subplots: the make_subplots function","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"This function takes a number of keyword arguments and allows fine grained control over the layout and labels for subplots.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"Consider the example below:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"p = make_subplots(\n rows=5, cols=2,\n specs=[Spec() Spec(rowspan=2)\n Spec() missing\n Spec(rowspan=2, colspan=2) missing\n missing missing\n Spec() Spec()]\n)\n\nadd_trace!(p, scatter(x=[1, 2], y=[1, 2], name=\"(1,1)\"), row=1, col=1)\nadd_trace!(p, scatter(x=[1, 2], y=[1, 2], name=\"(1,2)\"), row=1, col=2)\nadd_trace!(p, scatter(x=[1, 2], y=[1, 2], name=\"(2,1)\"), row=2, col=1)\nadd_trace!(p, scatter(x=[1, 2], y=[1, 2], name=\"(3,1)\"), row=3, col=1)\nadd_trace!(p, scatter(x=[1, 2], y=[1, 2], name=\"(5,1)\"), row=5, col=1)\nadd_trace!(p, scatter(x=[1, 2], y=[1, 2], name=\"(5,2)\"), row=5, col=2)\n\nrelayout!(p, height=600, width=600, title_text=\"specs examples\")\np.plot","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"More examples are being worked on at this time (2021-07-14), but for now you can view the docs for make_subplots to get an idea of what else is possible.","category":"page"},{"location":"manipulating_plots/#Saving-figures","page":"Working with plots","title":"Saving figures","text":"","category":"section"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"Figures can be saved in a variety of formats using the savefig function.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"note: Note\n","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"Note that the docs below are shown for the PlotlyBase.Plot type, but are also defined for PlotlyJS.SyncPlot. Thus, you can use these methods after calling either plot or Plot.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"This function has a few methods:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"1","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"savefig(::Union{PlotlyBase.Plot}, ::String)","category":"page"},{"location":"manipulating_plots/#PlotlyJS.savefig-Tuple{Plot, String}","page":"Working with plots","title":"PlotlyJS.savefig","text":"savefig(\n p::Plot, fn::AbstractString;\n format::Union{Nothing,String}=nothing,\n width::Union{Nothing,Int}=nothing,\n height::Union{Nothing,Int}=nothing,\n scale::Union{Nothing,Real}=nothing,\n)\n\nSave a plot p to a file named fn. If format is given and is one of png, jpeg, webp, svg, pdf, eps, json, or html; it will be the format of the file. By default the format is guessed from the extension of fn. scale sets the image scale. width and height set the dimensions, in pixels. Defaults are taken from p.layout, or supplied by plotly\n\n\n\n\n\n","category":"method"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"When using this method the format of the file is inferred based on the extension of the second argument. The examples below show the possible export formats:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"savefig(p::Union{Plot,SyncPlot}, \"output_filename.pdf\")\nsavefig(p::Union{Plot,SyncPlot}, \"output_filename.html\")\nsavefig(p::Union{Plot,SyncPlot}, \"output_filename.json\")\nsavefig(p::Union{Plot,SyncPlot}, \"output_filename.png\")\nsavefig(p::Union{Plot,SyncPlot}, \"output_filename.svg\")\nsavefig(p::Union{Plot,SyncPlot}, \"output_filename.jpeg\")\nsavefig(p::Union{Plot,SyncPlot}, \"output_filename.webp\")","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"2","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"savefig(\n io::IO,\n p::Plot;\n width::Union{Nothing,Int}=nothing,\n height::Union{Nothing,Int}=nothing,\n scale::Union{Nothing,Real}=nothing,\n format::String=\"png\"\n)","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"This method allows you to save a plot directly to an open IO stream.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"See the savefig(::IO, ::PlotlyBase.Plot) API docs for more information.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"3","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"Base.show(::IO, ::MIME, ::Union{PlotlyBase.Plot})","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"This method hooks into Julia's rich display system.","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"Possible arguments for the second argument are shown in the examples below:","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"savefig(io::IO, ::MIME\"application/pdf\", p::Union{Plot,SyncPlot})\nsavefig(io::IO, ::MIME\"image/png\", p::Union{Plot,SyncPlot})\nsavefig(io::IO, ::MIME\"image/svg+xml\", p::Union{Plot,SyncPlot})\nsavefig(io::IO, ::MIME\"image/eps\", p::Union{Plot,SyncPlot})\nsavefig(io::IO, ::MIME\"image/jpeg\", p::Union{Plot,SyncPlot})\nsavefig(io::IO, ::MIME\"application/json\", p::Union{Plot,SyncPlot})\nsavefig(io::IO, ::MIME\"application/json; charset=UTF-8\", p::Union{Plot,SyncPlot})","category":"page"},{"location":"manipulating_plots/","page":"Working with plots","title":"Working with plots","text":"note: Note\nYou can also save the json for a figure by calling savejson(p::Union{Plot,SyncPlot}, filename::String).","category":"page"},{"location":"examples/box_plots/#Box-Plots","page":"Box Plots","title":"Box Plots","text":"","category":"section"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"using PlotlyJS","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box1()\n y0 = rand(50)\n y1 = rand(50) .+ 1\n trace1 = box(;y=y0)\n trace2 = box(;y=y1)\n data = [trace1, trace2]\n plot(data)\nend\nbox1()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box2()\n data = box(;y=[0, 1, 1, 2, 3, 5, 8, 13, 21],\n boxpoints=\"all\",\n jitter=0.3,\n pointpos=-1.8)\n plot(data)\nend\nbox2()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box3()\n trace1 = box(;x=[1, 2, 3, 4, 4, 4, 8, 9, 10],\n name=\"Set 1\")\n trace2 = box(;x=[2, 3, 3, 3, 3, 5, 6, 6, 7],\n name=\"Set 2\")\n data = [trace1, trace2]\n layout = Layout(;title=\"Horizontal Box Plot\")\n\n plot(data, layout)\nend\nbox3()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box4()\n x0 = [\"day 1\", \"day 1\", \"day 1\", \"day 1\", \"day 1\", \"day 1\",\n \"day 2\", \"day 2\", \"day 2\", \"day 2\", \"day 2\", \"day 2\"]\n trace1 = box(;y=[0.2, 0.2, 0.6, 1.0, 0.5, 0.4, 0.2, 0.7, 0.9, 0.1, 0.5, 0.3],\n x=x0,\n name=\"kale\",\n marker_color=\"#3D9970\")\n trace2 = box(;y=[0.6, 0.7, 0.3, 0.6, 0.0, 0.5, 0.7, 0.9, 0.5, 0.8, 0.7, 0.2],\n x=x0,\n name=\"radishes\",\n marker_color=\"#FF4136\")\n trace3 = box(;y=[0.1, 0.3, 0.1, 0.9, 0.6, 0.6, 0.9, 1.0, 0.3, 0.6, 0.8, 0.5],\n x=x0,\n name=\"carrots\",\n marker_color=\"#FF851B\")\n data = [trace1, trace2, trace3]\n layout = Layout(;yaxis=attr(title=\"normalized moisture\", zeroline=false),\n boxmode=\"group\")\n plot(data, layout)\nend\nbox4()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box5()\n trace1 = box(;y=[0.75, 5.25, 5.5, 6, 6.2, 6.6, 6.80, 7.0, 7.2, 7.5, 7.5,\n 7.75, 8.15, 8.15, 8.65, 8.93, 9.2, 9.5, 10, 10.25, 11.5,\n 12, 16, 20.90, 22.3, 23.25],\n name=\"All Points\",\n jitter=0.3,\n pointpos=-1.8,\n marker_color=\"rgb(7, 40, 89)\",\n boxpoints=\"all\")\n trace2 = box(;y=[0.75, 5.25, 5.5, 6, 6.2, 6.6, 6.80, 7.0, 7.2, 7.5, 7.5,\n 7.75, 8.15, 8.15, 8.65, 8.93, 9.2, 9.5, 10, 10.25, 11.5,\n 12, 16, 20.90, 22.3, 23.25],\n name=\"Only Wiskers\",\n marker_color=\"rgb(9, 56, 125)\",\n boxpoints=false)\n trace3 = box(;y=[0.75, 5.25, 5.5, 6, 6.2, 6.6, 6.80, 7.0, 7.2, 7.5, 7.5,\n 7.75, 8.15, 8.15, 8.65, 8.93, 9.2, 9.5, 10, 10.25, 11.5,\n 12, 16, 20.90, 22.3, 23.25],\n name=\"Suspected Outlier\",\n marker=attr(color=\"rgb(8, 8, 156)\",\n outliercolor=\"rgba(219, 64, 82, 0.6)\",\n line=attr(outliercolor=\"rgba(219, 64, 82, 1.0)\",\n outlierwidth=2)),\n boxpoints=\"suspectedoutliers\")\n trace4 = box(;y=[0.75, 5.25, 5.5, 6, 6.2, 6.6, 6.80, 7.0, 7.2, 7.5, 7.5,\n 7.75, 8.15, 8.15, 8.65, 8.93, 9.2, 9.5, 10, 10.25, 11.5,\n 12, 16, 20.90, 22.3, 23.25],\n name=\"Wiskers and Outliers\",\n marker_color=\"rgb(107, 174, 214)\",\n boxpoints=\"Outliers\")\n data = [trace1, trace2, trace3, trace4]\n layout = Layout(;title=\"Box Plot Styling Outliers\")\n plot(data, layout)\nend\nbox5()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box6()\n trace1 = box(;y=[2.37, 2.16, 4.82, 1.73, 1.04, 0.23, 1.32, 2.91, 0.11,\n 4.51, 0.51, 3.75, 1.35, 2.98, 4.50, 0.18, 4.66, 1.30,\n 2.06, 1.19],\n name=\"Only Mean\",\n marker_color=\"rgb(8, 81, 156)\",\n boxmean=true)\n trace2 = box(;y=[2.37, 2.16, 4.82, 1.73, 1.04, 0.23, 1.32, 2.91, 0.11,\n 4.51, 0.51, 3.75, 1.35, 2.98, 4.50, 0.18, 4.66, 1.30,\n 2.06, 1.19],\n name=\"Mean and Standard Deviation\",\n marker_color=\"rgb(10, 140, 208)\",\n boxmean=\"sd\")\n data = [trace1, trace2]\n layout = Layout(;title=\"Box Plot Styling Mean and Standard Deviation\")\n plot(data, layout)\nend\nbox6()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box7()\n y0 = [\"day 1\", \"day 1\", \"day 1\", \"day 1\", \"day 1\", \"day 1\",\n \"day 2\", \"day 2\", \"day 2\", \"day 2\", \"day 2\", \"day 2\"]\n trace1 = box(;x=[0.2, 0.2, 0.6, 1.0, 0.5, 0.4, 0.2, 0.7, 0.9, 0.1, 0.5, 0.3],\n y=y0,\n name=\"kale\",\n marker_color=\"#3D9970\",\n boxmean=false,\n orientation=\"h\")\n trace2 = box(;x=[0.6, 0.7, 0.3, 0.6, 0.0, 0.5, 0.7, 0.9, 0.5, 0.8, 0.7, 0.2],\n y=y0,\n name=\"radishes\",\n marker_color=\"#FF4136\",\n boxmean=false,\n orientation=\"h\")\n trace3 = box(;x=[0.1, 0.3, 0.1, 0.9, 0.6, 0.6, 0.9, 1.0, 0.3, 0.6, 0.8, 0.5],\n y=y0,\n name=\"carrots\",\n marker_color=\"#FF851B\",\n boxmean=false,\n orientation=\"h\")\n data = [trace1, trace2, trace3]\n layout = Layout(;title=\"Grouped Horizontal Box Plot\",\n xaxis=attr(title=\"normalized moisture\", zeroline=false),\n boxmode=\"group\")\n plot(data, layout)\nend\nbox7()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box8()\n trace1 = box(;y=[1, 2, 3, 4, 4, 4, 8, 9, 10],\n name=\"Sample A\",\n marker_color=\"rgb(214, 12, 140)\")\n trace2 = box(;y=[2, 3, 3, 3, 3, 5, 6, 6, 7],\n name=\"Sample B\",\n marker_color=\"rgb(0, 128, 128)\")\n data = [trace1, trace2]\n layout = Layout(;title=\"Colored Box Plot\")\n plot(data, layout)\nend\nbox8()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box9()\n xData = [\"Carmelo
Anthony\", \"Dwyane
Wade\", \"Deron
Williams\",\n \"Brook
Lopez\", \"Damian
Lillard\", \"David
West\",\n \"Blake
Griffin\", \"David
Lee\", \"Demar
Derozan\"]\n\n _getrandom(num, mul) = mul .* rand(num)\n\n yData = Array[\n _getrandom(30, 10),\n _getrandom(30, 20),\n _getrandom(30, 25),\n _getrandom(30, 40),\n _getrandom(30, 45),\n _getrandom(30, 30),\n _getrandom(30, 20),\n _getrandom(30, 15),\n _getrandom(30, 43)\n ]\n colors = [\"rgba(93, 164, 214, 0.5)\", \"rgba(255, 144, 14, 0.5)\",\n \"rgba(44, 160, 101, 0.5)\", \"rgba(255, 65, 54, 0.5)\",\n \"rgba(207, 114, 255, 0.5)\", \"rgba(127, 96, 0, 0.5)\",\n \"rgba(255, 140, 184, 0.5)\", \"rgba(79, 90, 117, 0.5)\",\n \"rgba(222, 223, 0, 0.5)\"]\n\n data = GenericTrace[]\n for i in 1:length(xData)\n trace = box(;y=yData[i],\n name=xData[i],\n boxpoints=\"all\",\n jitter=0.5,\n whiskerwidth=0.2,\n fillcolor=\"cls\",\n marker_size=2,\n line_width=1)\n push!(data, trace)\n end\n\n t = \"Points Scored by the Top 9 Scoring NBA Players in 2012\"\n layout = Layout(;title=t,\n yaxis=attr(autorange=true, showgrid=true, zeroline=true,\n dtick=5, gridcolor=\"rgb(255, 255, 255)\",\n gridwidth=1,\n zerolinecolor=\"rgb(255, 255, 255)\",\n zerolinewidth=2),\n margin=attr(l=40, r=30, b=80, t=100),\n paper_bgcolor=\"rgb(243, 243, 243)\",\n plot_bgcolor=\"rgb(243, 243, 243)\",\n showlegend=false)\n plot(data, layout)\nend\nbox9()","category":"page"},{"location":"examples/box_plots/","page":"Box Plots","title":"Box Plots","text":"function box10()\n n_box = 30\n colors = [\"hsl($i, 50%, 50%)\" for i in range(0, stop=360, length=n_box)]\n\n gen_y_data(i) =\n (3.5*sin(pi*i/n_box) + i/n_box) .+ (1.5+0.5*cos(pi*i/n_box)).*rand(10)\n\n ys = Array[gen_y_data(i) for i in 1:n_box]\n\n # Create Traces\n data = GenericTrace[box(y=y, marker_color=mc) for (y, mc) in zip(ys, colors)]\n\n #Format the layout\n layout = Layout(;xaxis=attr(;showgrid=false, zeroline=false,\n tickangle=60, showticklabels=true),\n yaxis=attr(;zeroline=false, gridcolor=\"white\"),\n paper_bgcolor=\"rgb(233, 233, 233)\",\n plot_bgcolor=\"rgb(233, 233, 233)\",\n showlegend=true)\n plot(data, layout)\nend\nbox10()","category":"page"},{"location":"examples/finance/#Finance","page":"Financial Charts","title":"Finance","text":"","category":"section"},{"location":"examples/finance/","page":"Financial Charts","title":"Financial Charts","text":"using PlotlyJS, HTTP, CSV, DataFrames","category":"page"},{"location":"examples/finance/","page":"Financial Charts","title":"Financial Charts","text":"function ohlc1()\n t = ohlc(open=[33.0, 33.3, 33.5, 33.0, 34.1],\n high=[33.1, 33.3, 33.6, 33.2, 34.8],\n low=[32.7, 32.7, 32.8, 32.6, 32.8],\n close=[33.0, 32.9, 33.3, 33.1, 33.1])\n plot(t)\nend\nohlc1()","category":"page"},{"location":"examples/finance/","page":"Financial Charts","title":"Financial Charts","text":"function ohlc2()\n function get_ohlc(ticker; kwargs...)\n res = HTTP.get(\"https://www.quandl.com/api/v3/datasets/WIKI/$(ticker)/data.csv?start_date=2017-01-01\")\n df = DataFrame(CSV.File(res.body))\n ohlc(df, x=:Date, open=:Open, high=:High, low=:Low, close=:Close; kwargs...)\n end\n\n p1 = plot(get_ohlc(\"AAPL\", name=\"Apple\"), Layout(title=\"Apple\"))\n p2 = plot(get_ohlc(\"GOOG\", name=\"Google\"), Layout(title=\"Google\"))\n\n [p1 p2]\nend\nohlc2()","category":"page"},{"location":"examples/finance/","page":"Financial Charts","title":"Financial Charts","text":"function candlestick1()\n t = candlestick(open=[33.0, 33.3, 33.5, 33.0, 34.1],\n high=[33.1, 33.3, 33.6, 33.2, 34.8],\n low=[32.7, 32.7, 32.8, 32.6, 32.8],\n close=[33.0, 32.9, 33.3, 33.1, 33.1])\n plot(t)\nend\ncandlestick1()","category":"page"},{"location":"examples/finance/","page":"Financial Charts","title":"Financial Charts","text":"function candlestick2()\n function get_candlestick(ticker; kwargs...)\n res = HTTP.get(\"https://www.quandl.com/api/v3/datasets/WIKI/$(ticker)/data.csv?start_date=2017-01-01\")\n df = DataFrame(CSV.File(res.body))\n candlestick(df, x=:Date, open=:Open, high=:High, low=:Low, close=:Close; kwargs...)\n end\n\n p1 = plot(get_candlestick(\"AAPL\", name=\"Apple\"), Layout(title=\"Apple\"))\n p2 = plot(get_candlestick(\"GOOG\", name=\"Google\"), Layout(title=\"Google\"))\n\n [p1 p2]\nend\ncandlestick2()","category":"page"},{"location":"examples/bar/#Bar","page":"Bar","title":"Bar","text":"","category":"section"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"using PlotlyJS","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar1()\n data = bar(;x=[\"giraffes\", \"orangutans\", \"monkeys\"],\n \ty=[20, 14, 23])\n plot(data)\nend\nbar1()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar2()\n trace1 = bar(;x=[\"giraffes\", \"orangutans\", \"monkeys\"],\n y=[20, 14, 23],\n name=\"SF Zoo\")\n trace2 = bar(;x=[\"giraffes\", \"orangutans\", \"monkeys\"],\n y=[12, 18, 29],\n name=\"LA Zoo\")\n data = [trace1, trace2]\n layout = Layout(;barmode=\"group\")\n plot(data, layout)\nend\nbar2()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar3()\n trace1 = bar(;x=[\"giraffes\", \"orangutans\", \"monkeys\"],\n y=[20, 14, 23],\n name=\"SF Zoo\")\n trace2 = bar(x=[\"giraffes\", \"orangutans\", \"monkeys\"],\n y=[12, 18, 29],\n name=\"LA Zoo\")\n data = [trace1, trace2]\n layout = Layout(;barmode=\"stack\")\n plot(data, layout)\nend\nbar3()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar4()\n data = bar(;x=[\"Product A\", \"Product B\", \"Product C\"],\n y=[20, 14, 23],\n text=[\"$(i)% market share\" for i in rand(15:30, 3)],\n marker=attr(color=\"rgb(158, 202, 225)\", opacity=0.6),\n line=attr(color=\"rgb(8, 48, 107)\", width=1.5))\n\n layout = Layout(;title=\"January 2013 Sales Report\")\n\n plot(data, layout)\nend\nbar4()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar5()\n x_value = [\"Product A\", \"Product B\", \"Product C\"]\n y_value = [20, 14, 23]\n\n data = bar(;x=x_value,\n y=y_value,\n text=[\"$(i)% market share\" for i in rand(15:30, 3)],\n\t\t marker=attr(color=\"rgb(158, 202, 225)\", opacity=0.6,\n line=attr(color=\"rgb(8, 48, 107)\", width=1.5)))\n\n annotations = []\n\n for i in 1:length(x_value)\n result = attr(x=x_value[i],\n y=y_value[i],\n text=y_value[i],\n xanchor=\"center\",\n yanchor=\"bottom\",\n showarrow=false)\n push!(annotations, result)\n end\n\n layout = Layout(;title=\"January 2013 Sales Report\",\n annotations=annotations)\n plot(data, layout)\nend\nbar5()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar6()\n trace1 = bar(;x=[\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\",\n \"Sep\", \"Oct\", \"Nov\", \"Dec\"],\n y=[20, 14, 25, 16, 18, 22, 19, 15, 12, 16, 14, 17],\n name=\"Primary Product\",\n marker_color=\"rgb(49, 130, 189)\",\n opacity=0.7)\n trace2 = bar(;x=[\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\",\n \"Sep\", \"Oct\", \"Nov\", \"Dec\"],\n y=[19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16],\n name=\"Secondary Product\",\n\t\t marker=attr(color=\"rgb(204, 204, 204)\", opacity=0.5))\n data = [trace1, trace2]\n layout = Layout(;title=\"2013 Sales Report\",\n xaxis_tickangle=-45,\n barmode=\"group\")\n plot(data, layout)\nend\nbar6()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar7()\n data = bar(;x=[\"Feature $(s)\" for s in 'A':'E'],\n y=[20, 14, 23, 25, 22],\n \t\t marker_color=[\"rgba(204, 204, 204, 1)\",\n \"rgba(222, 45, 38, 0.8)\",\n \"rgba(204, 204, 204, 1)\",\n \"rgba(204, 204, 204, 1)\",\n \"rgba(204, 204, 204, 1)\"])\n layout = Layout(;title=\"Least Used Feature\")\n plot(data, layout)\nend\nbar7()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar8()\n data = bar(;x=[\"Liam\", \"Sophie\", \"Jacob\", \"Mia\", \"William\", \"Olivia\"],\n y=[8.0, 8.0, 12.0, 12.0, 13.0, 20.0],\n text=[\"4.17 below the mean\", \"4.17 below the mean\",\n \"0.17 below the mean\", \"0.17 below the mean\",\n \"0.83 above the mean\", \"7.83 above the mean\"],\n marker_color=\"rgb(142, 124, 195)\")\n layout = Layout(;title=\"Number of Graphs Made this Week\",\n font_family=\"Raleway, sans-serif\",\n showlegend=false,\n xaxis_tickangle=-45,\n yaxis=attr(zeroline=false, gridwidth=2),\n bargap=0.05)\n plot(data, layout)\nend\nbar8()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar9()\n trace1 = bar(;x=1995:2012,\n y=[219, 146, 112, 127, 124, 180, 236, 207, 236, 263, 350,\n 430, 474, 526, 488, 537, 500, 439],\n name=\"Rest of world\",\n marker_color=\"rgb(55, 83, 109)\")\n trace2 = bar(;x=1995:2012,\n y=[16, 13, 10, 11, 28, 37, 43, 55, 56, 88, 105, 156, 270,\n 299, 340, 403, 549, 499],\n name=\"China\",\n marker_color=\"rgb(26, 118, 255)\")\n\n data = [trace1, trace2]\n\n layout = Layout(;title=\"US Export of Plastic Scrap\",\n\t\t xaxis=attr(tickfont_size= 14,\n tickfont_color=\"rgb(107, 107, 107)\"),\n\t\t yaxis=attr(title=\"USD (millions)\",\n titlefont=attr(size=16,\n color=\"rgb(107, 107, 107)\"),\n tickfont=attr(size=14,\n color=\"rgb(107, 107, 107)\")),\n legend=attr(x=0, y=1.0, bgcolor=\"rgba(255, 255, 255, 0)\",\n bordercolor=\"rgba(255, 255, 255, 0)\"),\n barmode=\"group\",\n bargap=0.15,\n bargroupgap=0.1)\n plot(data, layout)\nend\nbar9()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar10()\n x_data = [\"Product Revenue\", \"Services Revenue\", \"Total Revenue\",\n \"Fixed Costs\", \"Variable Costs\", \"Total Costs\", \"Total\"]\n y_data = [400, 660, 660, 590, 400, 400, 340]\n textList = [\"\\$430K\", \"\\$260K\", \"\\$690K\", \"\\$-120K\", \"\\$-200K\", \"\\$-320K\",\n \"\\$370K\"]\n\n #Base\n trace1 = bar(;x=x_data,\n y=[0, 430, 0, 570, 370, 370, 0],\n marker_color=\"rgba(1, 1, 1, 0.0)\")\n\n #Revenue\n trace2 = bar(;x=x_data,\n y=[430, 260, 690, 0, 0, 0, 0],\n marker_color=\"rgba(55, 128, 191, 0.7)\",\n\t\t line=attr(color=\"rgba(55, 128, 191, 1.0)\", width=2))\n\n #Cost\n trace3 = bar(;x=x_data,\n y=[0, 0, 0, 120, 200, 320, 0],\n\t\t marker=attr(color=\"rgba(219, 64, 82, 0.7)\",\n\t\t line=attr(color=\"rgba(219, 64, 82, 1.0)\", width=2)))\n\n #Profit\n trace4 = bar(;x=x_data,\n y=[0, 0, 0, 0, 0, 0, 370],\n\t\t marker=attr(color=\"rgba(50, 171, 96, 0.7)\",\n\t\t line=attr(color=\"rgba(50, 171, 96, 1.0)\", width=2)))\n\n data = [trace1, trace2, trace3, trace4]\n\n annotations = []\n for i in 1:7\n result = attr(x=x_data[i],\n y=y_data[i],\n\t\t text=textList[i],\n\t\t font=attr(;family=\"Arial\", font_size=14,\n font_color=\"rgba(245, 246, 249, 1)\"),\n showarrow=false)\n push!(annotations, result)\n end\n\n layout = Layout(;title=\"Annual Profit 2015\",\n barmode=\"stack\",\n paper_bgcolor=\"rgba(245, 246, 249, 1)\",\n plot_bgcolor=\"rgba(245, 246, 249, 1)\",\n width=600,\n height=600,\n showlegend=false,\n xaxis_showtickabels=true,\n annotations=annotations)\n\n plot(data, layout)\nend\nbar10()","category":"page"},{"location":"examples/bar/","page":"Bar","title":"Bar","text":"function bar11()\n trace1 = bar(;x=[1, 2, 3, 4],\n y=[1, 4, 9, 16],\n name=\"Trace1\")\n trace2 = bar(;x=[1, 2, 3, 4],\n y=[6, -8, -4.5, 8],\n name=\"Trace2\")\n trace3 = bar(;x=[1, 2, 3, 4],\n y=[-15, -3, 4.5, -8],\n name=\"Trace3\")\n trace4 = bar(;x=[1, 2, 3, 4],\n y=[-1, 3, -3, -4],\n name=\"Trace4\")\n data = [trace1, trace2, trace3, trace4]\n layout = Layout(;xaxis_title=\"X axis\",\n yaxis_title=\"Y axis\",\n barmode=\"relative\",\n title=\"Relative Barmode\")\n plot(data, layout)\nend\nbar11()","category":"page"},{"location":"examples/line_scatter/#Line-Scatter","page":"Line and Scatter","title":"Line Scatter","text":"","category":"section"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"using PlotlyJS, DataFrames, CSV, Dates, HTTP","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function linescatter1()\n trace1 = scatter(;x=1:4, y=[10, 15, 13, 17], mode=\"markers\")\n trace2 = scatter(;x=2:5, y=[16, 5, 11, 9], mode=\"lines\")\n trace3 = scatter(;x=1:4, y=[12, 9, 15, 12], mode=\"lines+markers\")\n plot([trace1, trace2, trace3])\nend\nlinescatter1()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function linescatter2()\n trace1 = scatter(;x=1:5, y=[1, 6, 3, 6, 1],\n mode=\"markers\", name=\"Team A\",\n text=[\"A-1\", \"A-2\", \"A-3\", \"A-4\", \"A-5\"],\n marker_size=12)\n\n trace2 = scatter(;x=1:5 + 0.5, y=[4, 1, 7, 1, 4],\n mode=\"markers\", name=\"Team B\",\n text=[\"B-a\", \"B-b\", \"B-c\", \"B-d\", \"B-e\"])\n # setting marker.size this way is _equivalent_ to what we did for trace1\n trace2[\"marker\"] = Dict(:size => 12)\n\n data = [trace1, trace2]\n layout = Layout(;title=\"Data Labels Hover\", xaxis_range=[0.75, 5.25],\n yaxis_range=[0, 8])\n plot(data, layout)\nend\nlinescatter2()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function linescatter3()\n trace1 = scatter(;x=1:5, y=[1, 6, 3, 6, 1],\n mode=\"markers+text\", name=\"Team A\",\n textposition=\"top center\",\n text=[\"A-1\", \"A-2\", \"A-3\", \"A-4\", \"A-5\"],\n marker_size=12, textfont_family=\"Raleway, sans-serif\")\n\n trace2 = scatter(;x=1:5 + 0.5, y=[4, 1, 7, 1, 4],\n mode=\"markers+text\", name=\"Team B\",\n textposition=\"bottom center\",\n text=[\"B-a\", \"B-b\", \"B-c\", \"B-d\", \"B-e\"],\n marker_size=12, textfont_family=\"Times New Roman\")\n\n data = [trace1, trace2]\n\n layout = Layout(;title=\"Data Labels on the Plot\", xaxis_range=[0.75, 5.25],\n yaxis_range=[0, 8], legend_y=0.5, legend_yref=\"paper\",\n legend=attr(family=\"Arial, sans-serif\", size=20,\n color=\"grey\"))\n plot(data, layout)\nend\nlinescatter3()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function linescatter4()\n trace1 = scatter(;y=fill(5, 40), mode=\"markers\", marker_size=40,\n marker_color=0:39)\n layout = Layout(title=\"Scatter Plot with a Color Dimension\")\n plot(trace1, layout)\nend\nlinescatter4()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function linescatter5()\n\n country = [\"Switzerland (2011)\", \"Chile (2013)\", \"Japan (2014)\",\n \"United States (2012)\", \"Slovenia (2014)\", \"Canada (2011)\",\n \"Poland (2010)\", \"Estonia (2015)\", \"Luxembourg (2013)\",\n \"Portugal (2011)\"]\n\n votingPop = [40, 45.7, 52, 53.6, 54.1, 54.2, 54.5, 54.7, 55.1, 56.6]\n regVoters = [49.1, 42, 52.7, 84.3, 51.7, 61.1, 55.3, 64.2, 91.1, 58.9]\n\n # notice use of `attr` function to make nested attributes\n trace1 = scatter(;x=votingPop, y=country, mode=\"markers\",\n name=\"Percent of estimated voting age population\",\n marker=attr(color=\"rgba(156, 165, 196, 0.95)\",\n line_color=\"rgba(156, 165, 196, 1.0)\",\n line_width=1, size=16, symbol=\"circle\"))\n\n trace2 = scatter(;x=regVoters, y=country, mode=\"markers\",\n name=\"Percent of estimated registered voters\")\n # also could have set the marker props above by using a dict\n trace2[\"marker\"] = Dict(:color => \"rgba(204, 204, 204, 0.95)\",\n :line => Dict(:color => \"rgba(217, 217, 217, 1.0)\",\n :width => 1),\n :symbol => \"circle\",\n :size => 16)\n\n data = [trace1, trace2]\n layout = Layout(Dict{Symbol,Any}(:paper_bgcolor => \"rgb(254, 247, 234)\",\n :plot_bgcolor => \"rgb(254, 247, 234)\");\n title=\"Votes cast for ten lowest voting age population in OECD countries\",\n width=600, height=600, hovermode=\"closest\",\n margin=Dict(:l => 140, :r => 40, :b => 50, :t => 80),\n xaxis=attr(showgrid=false, showline=true,\n linecolor=\"rgb(102, 102, 102)\",\n titlefont_color=\"rgb(204, 204, 204)\",\n tickfont_color=\"rgb(102, 102, 102)\",\n autotick=false, dtick=10, ticks=\"outside\",\n tickcolor=\"rgb(102, 102, 102)\"),\n legend=attr(font_size=10, yanchor=\"middle\",\n xanchor=\"right\"),\n )\n plot(data, layout)\nend\nlinescatter5()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function linescatter6()\n trace1 = scatter(;x=[52698, 43117], y=[53, 31],\n mode=\"markers\",\n name=\"North America\",\n text=[\"United States\", \"Canada\"],\n marker=attr(color=\"rgb(164, 194, 244)\", size=12,\n line=attr(color=\"white\", width=0.5))\n )\n\n trace2 = scatter(;x=[39317, 37236, 35650, 30066, 29570, 27159, 23557, 21046, 18007],\n y=[33, 20, 13, 19, 27, 19, 49, 44, 38],\n mode=\"markers\", name=\"Europe\",\n marker_size=12, marker_color=\"rgb(255, 217, 102)\",\n text=[\"Germany\", \"Britain\", \"France\", \"Spain\", \"Italy\",\n \"Czech Rep.\", \"Greece\", \"Poland\", \"Portugal\"])\n\n trace3 = scatter(;x=[42952, 37037, 33106, 17478, 9813, 5253, 4692, 3899],\n y=[23, 42, 54, 89, 14, 99, 93, 70],\n mode=\"markers\",\n name=\"Asia/Pacific\",\n marker_size=12, marker_color=\"rgb(234, 153, 153)\",\n text=[\"Australia\", \"Japan\", \"South Korea\", \"Malaysia\",\n \"China\", \"Indonesia\", \"Philippines\", \"India\"])\n\n trace4 = scatter(;x=[19097, 18601, 15595, 13546, 12026, 7434, 5419],\n y=[43, 47, 56, 80, 86, 93, 80],\n mode=\"markers\", name=\"Latin America\",\n marker_size=12, marker_color=\"rgb(142, 124, 195)\",\n text=[\"Chile\", \"Argentina\", \"Mexico\", \"Venezuela\",\n \"Venezuela\", \"El Salvador\", \"Bolivia\"])\n\n data = [trace1, trace2, trace3, trace4]\n\n layout = Layout(;title=\"Quarter 1 Growth\",\n xaxis=attr(title=\"GDP per Capital\", showgrid=false, zeroline=false),\n yaxis=attr(title=\"Percent\", zeroline=false))\n\n plot(data, layout)\nend\nlinescatter6()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function batman()\n # reference: https://github.com/alanedelman/18.337_2015/blob/master/Lecture01_0909/The%20Bat%20Curve.ipynb\n σ(x) = @. √(1 - x.^2)\n el(x) = @. 3 * σ(x / 7)\n s(x) = @. 4.2 - 0.5 * x - 2.0 * σ(0.5 * x - 0.5)\n b(x) = @. σ(abs(2 - x) - 1) - x.^2 / 11 + 0.5x - 3\n c(x) = [1.7, 1.7, 2.6, 0.9]\n\n p(i, f; kwargs...) = scatter(;x=[-i; 0.0; i], y=[f(i); NaN; f(i)],\n marker_color=\"black\", showlegend=false,\n kwargs...)\n traces = vcat(p(3:0.1:7, el; name=\"wings 1\"),\n p(4:0.1:7, t -> -el(t); name=\"wings 2\"),\n p(1:0.1:3, s; name=\"Shoulders\"),\n p(0:0.1:4, b; name=\"Bottom\"),\n p([0, 0.5, 0.8, 1], c; name=\"head\"))\n\n plot(traces, Layout(title=\"Batman\"))\nend\nbatman()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function dumbell()\n # reference: https://plot.ly/r/dumbbell-plots/\n # read Data into dataframe\n url = \"https://raw.githubusercontent.com/plotly/datasets/master/school_earnings.csv\"\n df = DataFrame(CSV.File(HTTP.get(url).body))\n\n # sort dataframe by male earnings\n df = sort(df, :Men, rev=false)\n\n men = scatter(;y=df.School, x=df.Men, mode=\"markers\", name=\"Men\",\n marker=attr(color=\"blue\", size=12))\n women = scatter(;y=df.School, x=df.Women, mode=\"markers\", name=\"Women\",\n marker=attr(color=\"pink\", size=12))\n\n lines = map(eachrow(df)) do r\n scatter(y=fill(r.School, 2), x=[r.Women, r.Men], mode=\"lines\",\n name=r.School, showlegend=false, line_color=\"gray\")\n end\n\n data = Base.typed_vcat(GenericTrace, men, women, lines)\n layout = Layout(width=650, height=650, margin_l=100, yaxis_title=\"School\",\n xaxis_title=\"Annual Salary (thousands)\",\n title=\"Gender earnings disparity\")\n\n plot(data, layout)\nend\ndumbell()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function errorbars1()\n trace1 = scatter(;x=vcat(1:10, 10:-1:1),\n y=vcat(2:11, 9:-1:0),\n fill=\"tozerox\",\n fillcolor=\"rgba(0, 100, 80, 0.2)\",\n line_color=\"transparent\",\n name=\"Fair\",\n showlegend=false)\n\n trace2 = scatter(;x=vcat(1:10, 10:-1:1),\n y=[5.5, 3.0, 5.5, 8.0, 6.0, 3.0, 8.0, 5.0, 6.0, 5.5, 4.75,\n 5.0, 4.0, 7.0, 2.0, 4.0, 7.0, 4.4, 2.0, 4.5],\n fill=\"tozerox\",\n fillcolor=\"rgba(0, 176, 246, 0.2)\",\n line_color=\"transparent\",\n name=\"Premium\",\n showlegend=false)\n\n trace3 = scatter(;x=vcat(1:10, 10:-1:1),\n y=[11.0, 9.0, 7.0, 5.0, 3.0, 1.0, 3.0, 5.0, 3.0, 1.0,\n -1.0, 1.0, 3.0, 1.0, -0.5, 1.0, 3.0, 5.0, 7.0, 9.],\n fill=\"tozerox\",\n fillcolor=\"rgba(231, 107, 243, 0.2)\",\n line_color=\"transparent\",\n name=\"Fair\",\n showlegend=false)\n\n trace4 = scatter(;x=1:10, y=1:10,\n line_color=\"rgb(00, 100, 80)\",\n mode=\"lines\",\n name=\"Fair\")\n\n trace5 = scatter(;x=1:10,\n y=[5.0, 2.5, 5.0, 7.5, 5.0, 2.5, 7.5, 4.5, 5.5, 5.],\n line_color=\"rgb(0, 176, 246)\",\n mode=\"lines\",\n name=\"Premium\")\n\n trace6 = scatter(;x=1:10, y=vcat(10:-2:0, [2, 4,2, 0]),\n line_color=\"rgb(231, 107, 243)\",\n mode=\"lines\",\n name=\"Ideal\")\n data = [trace1, trace2, trace3, trace4, trace5, trace6]\n layout = Layout(;paper_bgcolor=\"rgb(255, 255, 255)\",\n plot_bgcolor=\"rgb(229, 229, 229)\",\n\n xaxis=attr(gridcolor=\"rgb(255, 255, 255)\",\n range=[1, 10],\n showgrid=true,\n showline=false,\n showticklabels=true,\n tickcolor=\"rgb(127, 127, 127)\",\n ticks=\"outside\",\n zeroline=false),\n\n yaxis=attr(gridcolor=\"rgb(255, 255, 255)\",\n showgrid=true,\n showline=false,\n showticklabels=true,\n tickcolor=\"rgb(127, 127, 127)\",\n ticks=\"outside\",\n zeroline=false))\n\n plot(data, layout)\nend\nerrorbars1()","category":"page"},{"location":"examples/line_scatter/","page":"Line and Scatter","title":"Line and Scatter","text":"function errorbars2()\n function random_dates(d1::DateTime, d2::DateTime, n::Int)\n map(Date, sort!(rand(d1:Dates.Hour(12):d2, n)))\n end\n\n function _random_number(num, mul)\n value = []\n j = 0\n rand = 0\n while j <= num + 1\n rand = rand() * mul\n append!(value, [rand])\n j += 1\n end\n return value\n end\n\n dates = random_dates(DateTime(2001, 1, 1), DateTime(2005, 12, 31), 50)\n\n trace1 = scatter(;x=dates,\n y=20.0 .* rand(50),\n line_width=0,\n marker_color=\"444\",\n mode=\"lines\",\n name=\"Lower Bound\")\n\n trace2 = scatter(;x=dates,\n y=21.0 .* rand(50),\n fill=\"tonexty\",\n fillcolor=\"rgba(68, 68, 68, 0.3)\",\n line_color=\"rgb(31, 119, 180)\",\n mode=\"lines\",\n name=\"Measurement\")\n\n trace3 = scatter(;x=dates,\n y=22.0 .* rand(50),\n fill=\"tonexty\",\n fillcolor=\"rgba(68, 68, 68, 0.3)\",\n line_width=0,\n marker_color=\"444\",\n mode=\"lines\",\n name=\"Upper Bound\")\n\n data = [trace1, trace2, trace3]\n t = \"Continuous, variable value error bars
Notice the hover text!\"\n layout = Layout(;title=t, yaxis_title=\"Wind speed (m/s)\")\n plot(data, layout)\nend\nerrorbars2()","category":"page"},{"location":"examples/heatmaps/#Heatmaps","page":"Heatmaps","title":"Heatmaps","text":"","category":"section"},{"location":"examples/heatmaps/","page":"Heatmaps","title":"Heatmaps","text":"using PlotlyJS, Random\nRandom.seed!(42)","category":"page"},{"location":"examples/heatmaps/","page":"Heatmaps","title":"Heatmaps","text":"function heatmap1()\n plot(heatmap(z=[1 20 30; 20 1 60; 30 60 1]))\nend\nheatmap1()","category":"page"},{"location":"examples/heatmaps/","page":"Heatmaps","title":"Heatmaps","text":"function heatmap2()\n trace = heatmap(\n x=[\"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \"Friday\"],\n y=[\"Morning\", \"Afternoon\", \"Evening\"],\n z=rand(1:30, 5, 3)\n )\n plot(trace)\nend\nheatmap2()","category":"page"},{"location":"api/#API-Documentation","page":"API Docs","title":"API Documentation","text":"","category":"section"},{"location":"api/","page":"API Docs","title":"API Docs","text":"Modules = [PlotlyBase, PlotlyJS]\nOrder = [:function, :type]","category":"page"},{"location":"api/#Base.size-Tuple{Plot}","page":"API Docs","title":"Base.size","text":"size(::PlotlyBase.Plot)\n\nReturn the size of the plot in pixels. Obtained from the layout.width and layout.height fields.\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase._partial_val_sortperm-Tuple{Vector{<:Vector}, Dict{Symbol}, Vector{Symbol}}","page":"API Docs","title":"PlotlyBase._partial_val_sortperm","text":"_partial_val_sortperm(obsvals, orders, order_keys)\n\n\nlexographically sort obsvals to match orders, given keys into orders\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.addtraces!-Tuple{Plot, Int64, Vararg{AbstractTrace}}","page":"API Docs","title":"PlotlyBase.addtraces!","text":"addtraces!(p::Plot, i::Int, traces::AbstractTrace...)\n\nAdd trace(s) at a specified location in the Plot's array of data.\n\nThe new traces will start at index p.data[i]\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.addtraces!-Tuple{Plot, Vararg{AbstractTrace}}","page":"API Docs","title":"PlotlyBase.addtraces!","text":"addtraces!(p::Plot, traces::AbstractTrace...)\n\nAdd trace(s) to the end of the Plot's array of data\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.circle","page":"API Docs","title":"PlotlyBase.circle","text":"Draw a circle from ((x0+x1)/2, (y0+y1)/2)) with radius (|(x0+x1)/2 - x0|, |(y0+y1)/2 -y0)|) \n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.deletetraces!-Tuple{Plot, Vararg{Int64}}","page":"API Docs","title":"PlotlyBase.deletetraces!","text":"deletetraces!(p::Plot, inds::Int...) =\n\nRemove the traces at the specified indices\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.extendtraces!","page":"API Docs","title":"PlotlyBase.extendtraces!","text":"extendtraces!(::Plot, ::Dict{Union{Symbol,AbstractString},AbstractVector{Vector{Any}}}), indices, maxpoints)\n\nExtend one or more traces with more data. A few notes about the structure of the update dict are important to remember:\n\nThe keys of the dict should be of type Symbol or AbstractString specifying the trace attribute to be updated. These attributes must already exist in the trace\nThe values of the dict must be a Vector of Vector of data. The outer index tells Plotly which trace to update, whereas the Vector at that index contains the value to be appended to the trace attribute.\n\nThese concepts are best understood by example:\n\n# adds the values [1, 3] to the end of the first trace's y attribute and doesn't\n# remove any points\nextendtraces!(p, Dict(:y=>Vector[[1, 3]]), [1], -1)\nextendtraces!(p, Dict(:y=>Vector[[1, 3]])) # equivalent to above\n\n# adds the values [1, 3] to the end of the third trace's marker.size attribute\n# and [5,5,6] to the end of the 5th traces marker.size -- leaving at most 10\n# points per marker.size attribute\nextendtraces!(p, Dict(\"marker.size\"=>Vector[[1, 3], [5, 5, 6]]), [3, 5], 10)\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.hline","page":"API Docs","title":"PlotlyBase.hline","text":"hline(y, fields::AbstractDict=Dict{Symbol,Any}(); kwargs...)\n\nDraw horizontal lines at each point in y that span the width of the plot\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.launch_browser-Tuple{String}","page":"API Docs","title":"PlotlyBase.launch_browser","text":"opens a browser tab with the given html file\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.line","page":"API Docs","title":"PlotlyBase.line","text":"Draw a line through the points (x0, y0) and (x1, y2)\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.movetraces!-Tuple{Plot, AbstractVector{Int64}, AbstractVector{Int64}}","page":"API Docs","title":"PlotlyBase.movetraces!","text":"movetraces!(p::Plot, src::AbstractVector{Int}, dest::AbstractVector{Int})\n\nMove traces from indices src to indices dest.\n\nBoth src and dest must be Vector{Int}\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.movetraces!-Tuple{Plot, Vararg{Int64}}","page":"API Docs","title":"PlotlyBase.movetraces!","text":"movetraces!(p::Plot, to_end::Int...)\n\nMove one or more traces to the end of the data array\"\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.path-Tuple{AbstractString}","page":"API Docs","title":"PlotlyBase.path","text":"Draw an arbitrary svg path\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.prependtraces!","page":"API Docs","title":"PlotlyBase.prependtraces!","text":"prependtraces!(p::Plot, update::AbstractDict, indices::AbstractVector{Int}=[1],\n maxpoints=-1)\n\nThe API for prependtraces is equivalent to that for extendtraces except that the data is added to the front of the traces attributes instead of the end. See Those docstrings for more information\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.rect","page":"API Docs","title":"PlotlyBase.rect","text":"Draw a rectangle linking (x0,y0), (x1,y0), (x1,y1), (x0,y1), (x0,y0)\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.relayout!","page":"API Docs","title":"PlotlyBase.relayout!","text":"relayout!(l::Layout, update::AbstractDict=Dict(); kwargs...)\n\nUpdate l using update dict and/or kwargs\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.relayout!-Tuple{Plot, Vararg{Any}}","page":"API Docs","title":"PlotlyBase.relayout!","text":"relayout!(p::Plot, update::AbstractDict=Dict(); kwargs...)\n\nUpdate p.layout on using update dict and/or kwargs\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.restyle!","page":"API Docs","title":"PlotlyBase.restyle!","text":"restyle!(p::Plot, update::AbstractDict=Dict(); kwargs...)\n\nUpdate all traces using update dict and/or kwargs\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.restyle!-2","page":"API Docs","title":"PlotlyBase.restyle!","text":"restyle!(gt::GenericTrace, i::Int=1, update::AbstractDict=Dict(); kwargs...)\n\nUpdate trace gt using dict/kwargs, assuming it was the ith ind in a call to restyle!(::Plot, ...)\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.restyle!-3","page":"API Docs","title":"PlotlyBase.restyle!","text":"restyle!(p::Plot, ind::Int=1, update::AbstractDict=Dict(); kwargs...)\n\nUpdate p.data[ind] using update dict and/or kwargs\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.restyle!-4","page":"API Docs","title":"PlotlyBase.restyle!","text":"restyle!(::Plot, ::AbstractVector{Int}, ::AbstractDict=Dict(); kwargs...)\n\nUpdate specific traces at p.data[inds] using update dict and/or kwargs\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.restyle!-5","page":"API Docs","title":"PlotlyBase.restyle!","text":"The restyle! method follows the semantics of the Plotly.restyle function in plotly.js. Specifically the following rules are applied when trying to set an attribute k to a value v on trace ind, which happens to be the ith trace listed in the vector of inds (if ind is a scalar then i is always equal to 1)\n\nif v is an array or a tuple (both translated to javascript arrays when\n\njson(v) is called) then p.data[ind][k] will be set to v[i]. See examples below\n\nif v is any other type (any scalar type), then k is set directly to v.\n\nExamples\n\n# set marker color on first two traces to be red\nrestyle!(p, [1, 2], marker_color=\"red\")\n\n# set marker color on trace 1 to be green and trace 2 to be red\nrestyle!(p, [2, 1], marker_color=[\"red\", \"green\"])\n\n# set marker color on trace 1 to be red. green is not used\nrestyle!(p, 1, marker_color=[\"red\", \"green\"])\n\n# set the first marker on trace 1 to red, the second marker on trace 1 to green\nrestyle!(p, 1, marker_color=([\"red\", \"green\"],))\n\n# suppose p has 3 traces.\n# sets marker color on trace 1 to [\"red\", \"green\"]\n# sets marker color on trace 2 to \"blue\"\n# sets marker color on trace 3 to [\"red\", \"green\"]\nrestyle!(p, 1:3, marker_color=([\"red\", \"green\"], \"blue\"))\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.sizes","page":"API Docs","title":"PlotlyBase.sizes","text":"Given the number of rows and columns, return an NTuple{4,Float64} containing (width, height, vspace, hspace), where width and height are the width and height of each subplot and vspace and hspace are the vertical and horizonal spacing between subplots, respectively.\n\n\n\n\n\n","category":"function"},{"location":"api/#PlotlyBase.stem-Tuple{}","page":"API Docs","title":"PlotlyBase.stem","text":"stem(; y, stem_color, stem_thickness, kwargs...)\n\n\nCreates a \"stem\" or \"lollipop\" trace. It is implemented using plotly.js's scatter type, using the error bars to draw the stem.\n\nKeyword Arguments:\n\nAll properties accepted by scatter except error_y, which is used to draw the stems\nstem_color - sets the color of the stems\nstem_thickness - sets the thickness of the stems\n\n\n\n\n\n","category":"method"},{"location":"api/#PlotlyBase.to_html-Tuple{IO, Plot}","page":"API Docs","title":"PlotlyBase.to_html","text":"to_html(\n io::IO,\n p::Plot;\n autoplay::Bool=true,\n include_plotlyjs::Union{String,Missing}=\"cdn\",\n include_mathjax::Union{String,Missing}=\"cdn\",\n post_script::Union{String,Missing}=missing,\n full_html::Bool=true,\n animation_opts::Union{Dict,Missing}=missing,\n default_width::String=\"100%\",\n default_height::String=\"100%\"\n)\n\nio: IO stream to write to\np: Plot to save\nautoplay: Should animations start automatically\ninclude_plotlyjs: How to include plotly.js. Options are\ncdn: include a
GitHub

Putting it Together

We will now look at how to combine traces and a layout to create a plot.

We'll also discuss how to integrate with various frontends.

Plot

Recall that the definition of the Plot object is

mutable struct Plot{TT<:AbstractVector{<:AbstractTrace},TL<:AbstractLayout,TF<:AbstractVector{<:PlotlyFrame}}
+Putting it together · PlotlyJS
GitHub
Putting it Together
We will now look at how to combine traces and a layout to create a plot.
We'll also discuss how to integrate with various frontends.
Plot
Recall that the definition of the Plot object is
mutable struct Plot{TT<:AbstractVector{<:AbstractTrace},TL<:AbstractLayout,TF<:AbstractVector{<:PlotlyFrame}}
     data::TT
     layout::TL
     frames::TF
@@ -18,7 +18,7 @@
 Plot(data::AbstractTrace)
 
 # a single trace and a layout (trace put into a vector)
-Plot(data::AbstractTrace, layout::AbstractLayout)
Notice that none of the recommended constructors have you pass the divid field manually. This is an internal field used to allow the display and unique identification of multiple plots in a single web page.
Convenience methods
There are also a number of convenience methods to the Plot function that will attempt to construct the traces for you. They have the following signatures
PlotlyBase.Plot — Type
Plot(x, y; ...)
+Plot(data::AbstractTrace, layout::AbstractLayout)
Notice that none of the recommended constructors have you pass the divid field manually. This is an internal field used to allow the display and unique identification of multiple plots in a single web page.
Convenience methods
There are also a number of convenience methods to the Plot function that will attempt to construct the traces for you. They have the following signatures
PlotlyBase.Plot — Type
Plot(x, y; ...)
 Plot(x, y, l; kind, config, kwargs...)
 
Build a plot of with one trace of type kindand set x to x and y to y. All keyword arguments are passed directly as keyword arguments to the constructed trace.
NOTE: If y is a matrix, one trace is constructed for each column of y
NOTE: If x and y are both matrices, they must have the same number of columns (say N). Then N traces are constructed, where the ith column of x is paired with the ith column of y.
source
Plot(y; ...)
 Plot(y, l; kwargs...)
@@ -48,7 +48,7 @@
 Plot(d, y, l; kwargs...)
 
Construct a plot from df, passing the provided value y as a keyword argument. See docstring for other method for more information.
source
Especially convenient is the group keyword argument when calling Plot(::AbstractDataFrame, ... ; ...). Here is an example below:
using RDatasets
 iris = RDatasets.dataset("datasets", "iris");
-p = Plot(iris, x=:SepalLength, y=:SepalWidth, mode="markers", marker_size=8, group=:Species)
Example block output
SyncPlots
A Plot is a pure Julia object and doesn't interact with plotly.js by itself. This means that we can't view the actual plotly figure the data represents.
To do that we need to link the Plot to one or more display frontends.
To actually connect to the display frontends we use the WebIO.jl package. Our interaction with WebIO is wrapped up in a type called SyncPlot that is defined as follows:
mutable struct SyncPlot
+p = Plot(iris, x=:SepalLength, y=:SepalWidth, mode="markers", marker_size=8, group=:Species)
Example block output
SyncPlots
A Plot is a pure Julia object and doesn't interact with plotly.js by itself. This means that we can't view the actual plotly figure the data represents.
To do that we need to link the Plot to one or more display frontends.
To actually connect to the display frontends we use the WebIO.jl package. Our interaction with WebIO is wrapped up in a type called SyncPlot that is defined as follows:
mutable struct SyncPlot
     plot::PlotlyBase.Plot
     scope::Scope
     window::Union{Nothing,Blink.Window}
@@ -76,4 +76,4 @@
         symbols[point["curveNumber"] + 1][point["pointIndex"] + 1] = "star"
     end
     restyle!(p, marker_color=colors, marker_symbol=symbols)
-end
While completely nonsensical, hopefully these examples show you that it is possible to build rich, interactive, web-based data visualization applications with business logic implemented entirely in Julia!.
Display configuration
Note
New in PlotlyBase version 0.6.4 (PlotlyJS version 0.16.3)
When calling plot or Plot, we can specify some configuration options using the config keyword argument.
The config argument must be set to an instance of PlotConfig, which should be constructed using keyword arguments.
As an example, if we were to execute the following code, we would see a static chart (no hover information or ability to zoom/pan) with 4 lines instead of an interactive one:
Plot(rand(10, 4), config=PlotConfig(staticPlot=true))
See the API docs for PlotConfig for a full list of options.

+end

While completely nonsensical, hopefully these examples show you that it is possible to build rich, interactive, web-based data visualization applications with business logic implemented entirely in Julia!.

Display configuration

Note

New in PlotlyBase version 0.6.4 (PlotlyJS version 0.16.3)

When calling plot or Plot, we can specify some configuration options using the config keyword argument.

The config argument must be set to an instance of PlotConfig, which should be constructed using keyword arguments.

As an example, if we were to execute the following code, we would see a static chart (no hover information or ability to zoom/pan) with 4 lines instead of an interactive one:

Plot(rand(10, 4), config=PlotConfig(staticPlot=true))

See the API docs for PlotConfig for a full list of options.