diff --git a/dev/.documenter-siteinfo.json b/dev/.documenter-siteinfo.json index 77695c5..71c8c60 100644 --- a/dev/.documenter-siteinfo.json +++ b/dev/.documenter-siteinfo.json @@ -1 +1 @@ -{"documenter":{"julia_version":"1.10.0","generation_timestamp":"2024-01-15T11:09:53","documenter_version":"1.2.1"}} \ No newline at end of file +{"documenter":{"julia_version":"1.10.0","generation_timestamp":"2024-01-19T13:24:42","documenter_version":"1.2.1"}} \ No newline at end of file diff --git a/dev/api/index.html b/dev/api/index.html index 7cfb3c0..3c65334 100644 --- a/dev/api/index.html +++ b/dev/api/index.html @@ -99,7 +99,11 @@ 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(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 — Type
Plot(df; ...)
+

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 — 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.

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(df; ...)
 Plot(
     df,
     l;
@@ -115,25 +119,21 @@
     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.
source
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.

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 — Method
Plot(y; ...)
+

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.
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.

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.

source
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(
+

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
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/basics/index.html b/dev/basics/index.html index 48cc470..712c83c 100644 --- a/dev/basics/index.html +++ b/dev/basics/index.html @@ -21,4 +21,4 @@ divid::UUID config::PlotConfig frames::TF -end

The data, layout, divid, config, and frames fields of the Plot type map 1-1 to the arguments to the Plotly.newplot function.

[plotlyjs]: https://plotly.com/javascript/ [plotlyref]: https://plotly.com/julia/reference/

+end

The data, layout, divid, config, and frames fields of the Plot type map 1-1 to the arguments to the Plotly.newplot function.

[plotlyjs]: https://plotly.com/javascript/ [plotlyref]: https://plotly.com/julia/reference/

diff --git a/dev/building_traces_layouts/index.html b/dev/building_traces_layouts/index.html index 40aafdf..cedf0f3 100644 --- a/dev/building_traces_layouts/index.html +++ b/dev/building_traces_layouts/index.html @@ -1843,4 +1843,4 @@ "histogram2d with fields type, x, xaxis, xbingroyp, y, yaxis, and ybingroup" ] -layout: "layout with fields annotations, legend, margin, template, xaxis, xaxis2, xaxis3, xaxis4, yaxis, yaxis2, yaxis3, and yaxis4" +layout: "layout with fields annotations, legend, margin, template, xaxis, xaxis2, xaxis3, xaxis4, yaxis, yaxis2, yaxis3, and yaxis4" diff --git a/dev/contributing/index.html b/dev/contributing/index.html index 4a742b1..9b5bb0e 100644 --- a/dev/contributing/index.html +++ b/dev/contributing/index.html @@ -3,4 +3,4 @@ x = range(0, stop=2*pi, length=50) y = sin(x) plot(scatter(x=x, y=y, marker_symbol="line-nw", mode="markers+symbols")) -end

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.

The final step is to build the docs again using one of the commands from above.

+end

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.

The final step is to build the docs again using one of the commands from above.

diff --git a/dev/examples/3d/13561497.svg b/dev/examples/3d/416eee3a.svg similarity index 99% rename from dev/examples/3d/13561497.svg rename to dev/examples/3d/416eee3a.svg index 11f4d86..8fd056a 100644 --- a/dev/examples/3d/13561497.svg +++ b/dev/examples/3d/416eee3a.svg @@ -1 +1 @@ -setosaversicolorvirginicaIris dataset \ No newline at end of file +setosaversicolorvirginicaIris dataset \ No newline at end of file diff --git a/dev/examples/3d/4ba30aec.svg b/dev/examples/3d/4ba30aec.svg new file mode 100644 index 0000000..027f2be --- /dev/null +++ b/dev/examples/3d/4ba30aec.svg @@ -0,0 +1 @@ +trace 0trace 1trace 2 \ No newline at end of file diff --git a/dev/examples/3d/0505627f.svg b/dev/examples/3d/52ff2e3d.svg similarity index 99% rename from dev/examples/3d/0505627f.svg rename to dev/examples/3d/52ff2e3d.svg index 7fcf68f..a1c952c 100644 --- a/dev/examples/3d/0505627f.svg +++ b/dev/examples/3d/52ff2e3d.svg @@ -1 +1 @@ -050100150200250300350Mt. Bruno Elevation \ No newline at end of file +050100150200250300350Mt. Bruno Elevation \ No newline at end of file diff --git a/dev/examples/3d/857831a8.svg b/dev/examples/3d/857831a8.svg deleted file mode 100644 index 68879d7..0000000 --- a/dev/examples/3d/857831a8.svg +++ /dev/null @@ -1 +0,0 @@ -trace 0trace 1 \ No newline at end of file diff --git a/dev/examples/3d/a0b0fb51.svg b/dev/examples/3d/a0b0fb51.svg new file mode 100644 index 0000000..2c0fae2 --- /dev/null +++ b/dev/examples/3d/a0b0fb51.svg @@ -0,0 +1 @@ +trace 0trace 1 \ No newline at end of file diff --git a/dev/examples/3d/becdbf0a.svg b/dev/examples/3d/becdbf0a.svg deleted file mode 100644 index 52940d8..0000000 --- a/dev/examples/3d/becdbf0a.svg +++ /dev/null @@ -1 +0,0 @@ -trace 0trace 1trace 2 \ No newline at end of file diff --git a/dev/examples/3d/8c09a98a.svg b/dev/examples/3d/bf3e0e4d.svg similarity index 99% rename from dev/examples/3d/8c09a98a.svg rename to dev/examples/3d/bf3e0e4d.svg index 47cc738..7123025 100644 --- a/dev/examples/3d/8c09a98a.svg +++ b/dev/examples/3d/bf3e0e4d.svg @@ -1 +1 @@ -8.88.999.19.2 \ No newline at end of file +8.88.999.19.2 \ No newline at end of file diff --git a/dev/examples/3d/index.html b/dev/examples/3d/index.html index 526aa19..88ac0a9 100644 --- a/dev/examples/3d/index.html +++ b/dev/examples/3d/index.html @@ -18,7 +18,7 @@ margin=attr(l=0, r=0, b=0, t=65)) plot([trace1, trace2, trace3], layout) end -random_line()Example block output
function topo_surface()
+random_line()
Example block output
function topo_surface()
     z = Vector[[27.80985, 49.61936, 83.08067, 116.6632, 130.414, 150.7206, 220.1871,
                 156.1536, 148.6416, 203.7845, 206.0386, 107.1618, 68.36975, 45.3359,
                 49.96142, 21.89279, 17.02552, 11.74317,   14.75226, 13.6671, 5.677561,
@@ -111,7 +111,7 @@
                     height=500, margin=attr(l=65, r=50, b=65, t=90))
     plot(trace, layout)
 end
-topo_surface()
Example block output
function multiple_surface()
+topo_surface()
Example block output
function multiple_surface()
     z1 = Vector[[8.83, 8.89, 8.81, 8.87, 8.9, 8.87],
                 [8.89, 8.94, 8.85, 8.94, 8.96, 8.92],
                 [8.84, 8.9, 8.82, 8.92, 8.93, 8.91],
@@ -134,7 +134,7 @@
     trace3 = surface(z=z3, showscale=false, opacity=0.9, colorscale="Viridis")
     plot([trace1, trace2, trace3])
 end
-multiple_surface()
Example block output
function clustering_alpha_shapes()
+multiple_surface()
Example block output
function clustering_alpha_shapes()
     # load data
     iris = RDatasets.dataset("datasets", "iris")
     nms = unique(iris.Species)
@@ -174,7 +174,7 @@
                                aspectmode="manual"))
     plot(data, layout)
 end
-clustering_alpha_shapes()
Example block output
function scatter_3d()
+clustering_alpha_shapes()
Example block output
function scatter_3d()
     Σ = fill(0.5, 3, 3) + Diagonal([0.5, 0.5, 0.5])
     obs1 = rand(MvNormal(zeros(3), Σ), 200)'
     obs2 = rand(MvNormal(zeros(3), 0.5Σ), 100)'
@@ -194,7 +194,7 @@
 
     plot([trace1, trace2], layout)
 end
-scatter_3d()
Example block output
function trisurf()
+scatter_3d()
Example block output
function trisurf()
     facecolor = repeat([
     	"rgb(50, 200, 200)",
     	"rgb(100, 200, 255)",
@@ -219,7 +219,7 @@
     
     
     

     

@@ -227,9 +227,9 @@
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         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('fd82fa49-d9ad-41f4-8d09-bd3192a80e25')) {
+        if (document.getElementById('9772e1e6-8155-4a18-9dbc-44959de46fc2')) {
     Plotly.newPlot(
-        'fd82fa49-d9ad-41f4-8d09-bd3192a80e25',
+        '9772e1e6-8155-4a18-9dbc-44959de46fc2',
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@@ -260,7 +260,7 @@
     
     
     

     

@@ -268,9 +268,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('1461f358-7435-41c6-9ea0-1c35bfc92261')) {
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     Plotly.newPlot(
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@@ -79,7 +79,7 @@
     
     
     

     

@@ -87,9 +87,9 @@
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         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('108cbc37-f9b2-4bee-a1d3-4bfda92d2558')) {
+        if (document.getElementById('e9bf3304-03b3-45a4-9c9e-0a8080ab9f1e')) {
     Plotly.newPlot(
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+        'e9bf3304-03b3-45a4-9c9e-0a8080ab9f1e',
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@@ -99,4 +99,4 @@
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index 9b27d3a..bad52c3 100644
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@@ -8,7 +8,7 @@
     
     
     

     

@@ -16,9 +16,9 @@
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         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('03fa4397-f2bb-4281-ad9f-fae05390b1a3')) {
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     Plotly.newPlot(
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@@ -279,7 +279,7 @@
     
     
     

     

@@ -287,9 +287,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('c25f6c03-b7ee-4a75-a431-3d63555a1270')) {
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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 || {}
         
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@@ -96,7 +96,7 @@
     
     
     

     

@@ -104,9 +104,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('ea78aab4-2aeb-48d4-ae8a-6a8b4d171c0b')) {
+        if (document.getElementById('d2f08319-81ec-40d2-ad50-8c8fc3186f56')) {
     Plotly.newPlot(
-        'ea78aab4-2aeb-48d4-ae8a-6a8b4d171c0b',
+        'd2f08319-81ec-40d2-ad50-8c8fc3186f56',
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         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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('96a190f0-4456-4f7c-aeac-f86c8571a741')) {
+        if (document.getElementById('3b6174a5-59d5-4863-994d-7dd9de96b043')) {
     Plotly.newPlot(
-        '96a190f0-4456-4f7c-aeac-f86c8571a741',
+        '3b6174a5-59d5-4863-994d-7dd9de96b043',
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         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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('c0c050dd-8a27-4309-90c6-8a716a4e6a0c')) {
+        if (document.getElementById('6bffa999-0927-4854-b1a9-c10eb64572f4')) {
     Plotly.newPlot(
-        'c0c050dd-8a27-4309-90c6-8a716a4e6a0c',
+        '6bffa999-0927-4854-b1a9-c10eb64572f4',
         [{"y":[1,2,3,4,4,4,8,9,10],"type":"box","name":"Sample A","marker":{"color":"rgb(214, 12, 140)"}},{"y":[2,3,3,3,3,5,6,6,7],"type":"box","name":"Sample B","marker":{"color":"rgb(0, 128, 128)"}}],
         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Box Plot"},
         {"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/0e7d64a1.svg b/dev/examples/contour/8528baff.svg similarity index 99% rename from dev/examples/contour/0e7d64a1.svg rename to dev/examples/contour/8528baff.svg index 7b7940e..77312b2 100644 --- a/dev/examples/contour/0e7d64a1.svg +++ b/dev/examples/contour/8528baff.svg @@ -1 +1 @@ -−6−4−20246−6−4−20246−0.8−0.400.40.8 \ No newline at end of file +−6−4−20246−6−4−20246−0.8−0.400.40.8 \ No newline at end of file diff --git a/dev/examples/contour/aca02498.svg b/dev/examples/contour/9e9dfb29.svg similarity index 97% rename from dev/examples/contour/aca02498.svg rename to dev/examples/contour/9e9dfb29.svg index 05eebe0..0fa6b78 100644 --- a/dev/examples/contour/aca02498.svg +++ b/dev/examples/contour/9e9dfb29.svg @@ -1 +1 @@ -02460246024602460246024602460246Connect the Gaps Between Null Values in the Z Matrix \ No newline at end of file +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 7e4f4ce..e463523 100644 --- a/dev/examples/contour/index.html +++ b/dev/examples/contour/index.html @@ -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('ec3c2ae6-8e5b-42d7-8a61-1f96fd7d2cf4')) {
+        if (document.getElementById('0a61ebc8-1640-4697-98a0-62e21b12a780')) {
     Plotly.newPlot(
-        'ec3c2ae6-8e5b-42d7-8a61-1f96fd7d2cf4',
+        '0a61ebc8-1640-4697-98a0-62e21b12a780',
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     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 @@
     
     
     

     

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@@ -267,7 +267,7 @@
     
     
     

     

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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('6ae12e66-1553-4fb2-bdd7-ac05daab012f')) {
+        if (document.getElementById('068c5da8-96c7-4605-8aba-5da1ea8f7a86')) {
     Plotly.newPlot(
-        '6ae12e66-1553-4fb2-bdd7-ac05daab012f',
+        '068c5da8-96c7-4605-8aba-5da1ea8f7a86',
         [{"high":[33.1,33.3,33.6,33.2,34.8],"type":"candlestick","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},
@@ -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 1e2d032..fe12a30 100644 --- a/dev/examples/heatmaps/index.html +++ b/dev/examples/heatmaps/index.html @@ -7,7 +7,7 @@
@@ -15,9 +15,9 @@ require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} - if (document.getElementById('8db8651f-646a-4387-a06d-e613203eca59')) { + if (document.getElementById('4df7d7b4-bf6e-4ff5-b68b-2e3628a53081')) { Plotly.newPlot( - '8db8651f-646a-4387-a06d-e613203eca59', + '4df7d7b4-bf6e-4ff5-b68b-2e3628a53081', [{"type":"heatmap","z":[[1,20,30],[20,1,60],[30,60,1]],"transpose":true}], 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@@ -133,9 +133,9 @@ require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} - if (document.getElementById('59f4cbce-2757-4865-99fd-22bfd3152aae')) { + if (document.getElementById('f0bceaa0-acfb-4ba9-98e7-f1b2d0f79b57')) { Plotly.newPlot( - '59f4cbce-2757-4865-99fd-22bfd3152aae', + 'f0bceaa0-acfb-4ba9-98e7-f1b2d0f79b57', [{"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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Plot with a Color Dimension"}, {"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/f273d8ad.svg b/dev/examples/maps/dd71fb18.svg similarity index 99% rename from dev/examples/maps/f273d8ad.svg rename to dev/examples/maps/dd71fb18.svg index 3cab85e..e1d0471 100644 --- a/dev/examples/maps/f273d8ad.svg +++ b/dev/examples/maps/dd71fb18.svg @@ -1 +1 @@ -2014 US City Populations \ No newline at end of file +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 b610e7c..d223251 100644 --- a/dev/examples/maps/index.html +++ b/dev/examples/maps/index.html @@ -19,7 +19,7 @@
@@ -27,9 +27,9 @@ require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} - if (document.getElementById('ef5e743c-eba4-46d7-8481-bc96a7f54b0e')) { + if (document.getElementById('58984fdf-621c-4036-b296-b26b366c06a8')) { Plotly.newPlot( - 'ef5e743c-eba4-46d7-8481-bc96a7f54b0e', + '58984fdf-621c-4036-b296-b26b366c06a8', [{"mode":"markers","locations":["FRA","DEU","RUS","ESP"],"type":"scattergeo","name":"Europe Data","marker":{"color":[10,20,40,50],"colorbar":{"showticksuffix":"last","title":"Some rate","ticksuffix":"%"},"cmin":0,"line":{"color":"black"},"size":[20,30,15,10],"colorscale":"Greens","cmax":50}}], 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{"editable":false,"responsive":true,"staticPlot":false,"scrollZoom":true}, @@ -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('241cceab-8723-4965-a89f-2cc380f43a2a')) {
+        if (document.getElementById('64e05fa6-5532-4fa0-bb81-8846b4c2070f')) {
     Plotly.newPlot(
-        '241cceab-8723-4965-a89f-2cc380f43a2a',
+        '64e05fa6-5532-4fa0-bb81-8846b4c2070f',
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@@ -142,7 +142,7 @@
     
     
     

     

@@ -150,9 +150,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('5d30861b-cea7-4c77-93da-d78aa984f43c')) {
+        if (document.getElementById('a52e6e46-50de-486f-ad2d-899c45e40f7f')) {
     Plotly.newPlot(
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+        'a52e6e46-50de-486f-ad2d-899c45e40f7f',
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@@ -6,13 +6,13 @@
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Example block output
function subplots2()
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Example block output
function subplots2()
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 end
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Example block output
function subplots3()
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Example block output
function subplots3()
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@@ -23,10 +23,10 @@
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Example block output
function subplots_withcomprehension()
+subplots3()
Example block output
function subplots_withcomprehension()
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 end
-subplots_withcomprehension()
Example block output
function subplots_withsharedaxes()
+subplots_withcomprehension()
Example block output
function subplots_withsharedaxes()
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@@ -88,7 +88,7 @@
     
     
     

     

@@ -96,9 +96,9 @@
         require(["plotly"], function(Plotly) {
         window.PLOTLYENV = window.PLOTLYENV || {}
         
-        if (document.getElementById('a26e723b-0785-410d-80d3-953221073372')) {
+        if (document.getElementById('9c99ee24-1f4e-4a9b-b49a-4fe43e6248b1')) {
     Plotly.newPlot(
-        'a26e723b-0785-410d-80d3-953221073372',
+        '9c99ee24-1f4e-4a9b-b49a-4fe43e6248b1',
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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 diff --git a/dev/examples/tables/b0996ed2.svg b/dev/examples/tables/a76692c4.svg similarity index 98% rename from dev/examples/tables/b0996ed2.svg rename to dev/examples/tables/a76692c4.svg index 5f3195b..981dac3 100644 --- a/dev/examples/tables/b0996ed2.svg +++ b/dev/examples/tables/a76692c4.svg @@ -1 +1 @@ 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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/bf285f9a.svg b/dev/examples/ternary/ad4b2b14.svg similarity index 93% rename from dev/examples/ternary/bf285f9a.svg rename to dev/examples/ternary/ad4b2b14.svg index e71400b..8206662 100644 --- a/dev/examples/ternary/bf285f9a.svg +++ b/dev/examples/ternary/ad4b2b14.svg @@ -1 +1 @@ -20%40%60%80%80%60%40%20%80%60%40%20%ClaySandSlitSoil types fill plot \ No newline at end of file +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/6b1c2c1f.svg b/dev/examples/ternary/eb84b0d6.svg similarity index 95% rename from dev/examples/ternary/6b1c2c1f.svg rename to dev/examples/ternary/eb84b0d6.svg index 13a4129..6e63503 100644 --- a/dev/examples/ternary/6b1c2c1f.svg +++ b/dev/examples/ternary/eb84b0d6.svg @@ -1 +1 @@ -020406080100100806040200100806040200JournalistDeveloperDesigner \ No newline at end of file +020406080100100806040200100806040200JournalistDeveloperDesigner \ No newline at end of file diff --git a/dev/examples/ternary/index.html b/dev/examples/ternary/index.html index 0bed70a..fa9606f 100644 --- a/dev/examples/ternary/index.html +++ b/dev/examples/ternary/index.html @@ -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 0bf87b7..6018dc9 100644 --- a/dev/examples/time_series/index.html +++ b/dev/examples/time_series/index.html @@ -7,7 +7,7 @@
@@ -15,9 +15,9 @@ require(["plotly"], function(Plotly) { window.PLOTLYENV = window.PLOTLYENV || {} - if (document.getElementById('6321d5bb-87ec-4393-898a-625cb5819b3c')) { + if (document.getElementById('57354513-3d23-4942-b86f-4c6831d9b4bb')) { Plotly.newPlot( - '6321d5bb-87ec-4393-898a-625cb5819b3c', + '57354513-3d23-4942-b86f-4c6831d9b4bb', [{"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/5c26bfca.svg b/dev/examples/violin/0eb1ffbc.svg similarity index 98% rename from dev/examples/violin/5c26bfca.svg rename to dev/examples/violin/0eb1ffbc.svg index e4c767b..0190f3f 100644 --- a/dev/examples/violin/5c26bfca.svg +++ b/dev/examples/violin/0eb1ffbc.svg @@ -1 +1 @@ -Radial VelocityPulsar TimingOrbital Period Estimations \ No newline at end of file +Radial VelocityPulsar TimingOrbital Period Estimations \ No newline at end of file diff --git a/dev/examples/violin/eba487f9.svg b/dev/examples/violin/38276691.svg similarity index 99% rename from dev/examples/violin/eba487f9.svg rename to dev/examples/violin/38276691.svg index c0c4948..7d2ee77 100644 --- a/dev/examples/violin/eba487f9.svg +++ b/dev/examples/violin/38276691.svg @@ -1 +1 @@ -Old Faithful30405060708090100 \ No newline at end of file +Old Faithful30405060708090100 \ No newline at end of file diff --git a/dev/examples/violin/66db66c3.svg b/dev/examples/violin/442160ca.svg similarity index 99% rename from dev/examples/violin/66db66c3.svg rename to dev/examples/violin/442160ca.svg index a2b865d..9bfb549 100644 --- a/dev/examples/violin/66db66c3.svg +++ b/dev/examples/violin/442160ca.svg @@ -1 +1 @@ -0102030405060ThurFriSatSunFemaleMaleTotal bill distributionscaled by number of bills per gender \ No newline at end of file +0102030405060ThurFriSatSunFemaleMaleTotal bill distributionscaled by number of bills per gender \ No newline at end of file diff --git a/dev/examples/violin/5950b946.svg b/dev/examples/violin/61688228.svg similarity index 97% rename from dev/examples/violin/5950b946.svg rename to dev/examples/violin/61688228.svg index fdeb656..0d0ef28 100644 --- a/dev/examples/violin/5950b946.svg +++ b/dev/examples/violin/61688228.svg @@ -1 +1 @@ -day 1day 200.20.40.60.811.21.4kaleradishescarrotsnormalized moisture \ No newline at end of file +day 1day 200.20.40.60.811.21.4kaleradishescarrotsnormalized moisture \ No newline at end of file diff --git a/dev/examples/violin/c7c4a1b2.svg b/dev/examples/violin/a44ff1c3.svg similarity index 99% rename from dev/examples/violin/c7c4a1b2.svg rename to dev/examples/violin/a44ff1c3.svg index 6ea8cb1..cf5ee8a 100644 --- a/dev/examples/violin/c7c4a1b2.svg +++ b/dev/examples/violin/a44ff1c3.svg @@ -1 +1 @@ -sample 1−50050100150200250300violinbox \ No newline at end of file +sample 1−50050100150200250300violinbox \ No newline at end of file diff --git a/dev/examples/violin/index.html b/dev/examples/violin/index.html index 6ff2d88..a4c4f26 100644 --- a/dev/examples/violin/index.html +++ b/dev/examples/violin/index.html @@ -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('21debc74-8bdb-4f59-a653-a21bec9264b6')) {
+        if (document.getElementById('59fd70ff-e8af-441e-9b23-d82d87fd557f')) {
     Plotly.newPlot(
-        '21debc74-8bdb-4f59-a653-a21bec9264b6',
+        '59fd70ff-e8af-441e-9b23-d82d87fd557f',
         [{"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 598c387..3bedd5b 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/7e8e6aed.svg b/dev/manipulating_plots/1467e57c.svg similarity index 89% rename from dev/manipulating_plots/7e8e6aed.svg rename to dev/manipulating_plots/1467e57c.svg index 6d181ba..98d1971 100644 --- a/dev/manipulating_plots/7e8e6aed.svg +++ b/dev/manipulating_plots/1467e57c.svg @@ -1 +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 +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/ea5dad30.svg b/dev/manipulating_plots/25a69015.svg similarity index 94% rename from dev/manipulating_plots/ea5dad30.svg rename to dev/manipulating_plots/25a69015.svg index e44d18c..0b45e38 100644 --- a/dev/manipulating_plots/ea5dad30.svg +++ b/dev/manipulating_plots/25a69015.svg @@ -1 +1 @@ -0246810−4−3−2−111.522.533.540246trace 2trace 1Random Walk \ No newline at end of file +0246810−4−3−2−111.522.533.540246trace 2trace 1Random Walk \ No newline at end of file diff --git a/dev/manipulating_plots/044be130.svg b/dev/manipulating_plots/75a9f5ba.svg similarity index 91% rename from dev/manipulating_plots/044be130.svg rename to dev/manipulating_plots/75a9f5ba.svg index 08b2ee5..6db97df 100644 --- a/dev/manipulating_plots/044be130.svg +++ b/dev/manipulating_plots/75a9f5ba.svg @@ -1 +1 @@ -00.511.52−101−4−2024010200510−4−3−2−112340246trace 4trace 3Random Walktrace 1trace 0 \ No newline at end of file +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/033982db.svg b/dev/manipulating_plots/caa23745.svg similarity index 87% rename from dev/manipulating_plots/033982db.svg rename to dev/manipulating_plots/caa23745.svg index e969662..b706299 100644 --- a/dev/manipulating_plots/033982db.svg +++ b/dev/manipulating_plots/caa23745.svg @@ -1 +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 +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/ec14a4d5.svg b/dev/manipulating_plots/fe175ec7.svg similarity index 93% rename from dev/manipulating_plots/ec14a4d5.svg rename to dev/manipulating_plots/fe175ec7.svg index 95e7275..d6e8e09 100644 --- a/dev/manipulating_plots/ec14a4d5.svg +++ b/dev/manipulating_plots/fe175ec7.svg @@ -1 +1 @@ -00.511.52−1−0.500.511.5−4−20240510152025trace 0trace 1 \ No newline at end of file +00.511.52−1−0.500.511.5−4−20240510152025trace 0trace 1 \ No newline at end of file diff --git a/dev/manipulating_plots/index.html b/dev/manipulating_plots/index.html index 2dec241..522de49 100644 --- a/dev/manipulating_plots/index.html +++ b/dev/manipulating_plots/index.html @@ -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/search_index.js b/dev/search_index.js index 3809112..0188f19 100644 --- a/dev/search_index.js +++ b/dev/search_index.js @@ -1,3 +1,3 @@ var documenterSearchIndex = {"docs": -[{"location":"examples/maps/#Maps","page":"Maps","title":"Maps","text":"","category":"section"},{"location":"examples/maps/","page":"Maps","title":"Maps","text":"using PlotlyJS, DataFrames, CSV, HTTP","category":"page"},{"location":"examples/maps/","page":"Maps","title":"Maps","text":"function maps1()\n marker = attr(size=[20, 30, 15, 10],\n color=[10, 20, 40, 50],\n cmin=0,\n cmax=50,\n colorscale=\"Greens\",\n colorbar=attr(title=\"Some rate\",\n ticksuffix=\"%\",\n showticksuffix=\"last\"),\n line_color=\"black\")\n trace = scattergeo(;mode=\"markers\", locations=[\"FRA\", \"DEU\", \"RUS\", \"ESP\"],\n marker=marker, name=\"Europe Data\")\n layout = Layout(geo_scope=\"europe\", geo_resolution=50, width=500, height=550,\n margin=attr(l=0, r=0, t=10, b=0))\n plot(trace, layout)\nend\nmaps1()","category":"page"},{"location":"examples/maps/","page":"Maps","title":"Maps","text":"function maps2()\n # read Data into dataframe\n url = \"https://raw.githubusercontent.com/plotly/datasets/master/2014_us_cities.csv\"\n df = DataFrame(CSV.File(HTTP.get(url).body))\n\n trace = scattergeo(;locationmode=\"USA-states\",\n lat=df.lat,\n lon=df.lon,\n hoverinfo=\"text\",\n text=[string(x.name, \" pop: \", x.pop) for x in eachrow(df)],\n marker_size=df.pop ./ 50_000,\n marker_line_color=\"black\", marker_line_width=2)\n geo = attr(scope=\"usa\",\n projection_type=\"albers usa\",\n showland=true,\n landcolor=\"rgb(217, 217, 217)\",\n subunitwidth=1,\n countrywidth=1,\n subunitcolor=\"rgb(255,255,255)\",\n countrycolor=\"rgb(255,255,255)\")\n\n layout = Layout(;title=\"2014 US City Populations\", showlegend=false, geo=geo)\n plot(trace, layout)\nend\nmaps2()","category":"page"},{"location":"examples/ternary/#Ternary","page":"Ternary","title":"Ternary","text":"","category":"section"},{"location":"examples/ternary/","page":"Ternary","title":"Ternary","text":"using PlotlyJS, JSON","category":"page"},{"location":"examples/ternary/","page":"Ternary","title":"Ternary","text":"function ternary_markers()\n function make_ax(title, tickangle)\n attr(title=title, titlefont_size=20, tickangle=tickangle,\n tickfont_size=15, tickcolor=\"rgba(0, 0, 0, 0)\", ticklen=5,\n showline=true, showgrid=true)\n end\n\n raw_data = [\n Dict(:journalist=>75, :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!(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!-2","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!-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