Assign different portions of a single colormap to different sub-colormaps#2
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Assign different portions of a single colormap to different sub-colormaps#2ziyiyin97 wants to merge 1 commit into
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…ferent sub-colormaps
ziyiyin97
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mloubout
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| figure(figsize=(10, 5)) | ||
| wiggle_plot(shot[1:5:end, 1:10:end], xloc[1:10:end], 0:0.02:4.6; new_fig=false) | ||
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| # plot with multiple colorscales |
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I would appreciate an actual illustrative example like all the other ones that use proper images/shot records/.... because this doesn't really show anything.
| Create a single colormap that assigns different portions of it to different sub-colormaps. | ||
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| # Arguments | ||
| - `intervals::Vector{Tuple{T, T}}`: intervals of values where each interval will be assigned to a different colormap |
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That's not super practical especially considering it plots with perc. Working with actual portion in % or something would be more user friendly.
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| # Arguments | ||
| - `intervals::Vector{Tuple{T, T}}`: intervals of values where each interval will be assigned to a different colormap | ||
| - `cmap_types::Vector{ColorMap}`: colormaps for each interval |
| # Arguments | ||
| - `intervals::Vector{Tuple{T, T}}`: intervals of values where each interval will be assigned to a different colormap | ||
| - `cmap_types::Vector{ColorMap}`: colormaps for each interval | ||
| - `out_of_interval_color`: (Optional) the color assigned to values that live outside of all the intervals, default is black [0.,0.,0.,1.] |
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Someting like taht is usually just called padding
| total_sections = vcat(cmap_sections[1], vcat([vcat(between_interval_sections[i], cmap_sections[i+1]) for i = 1:length(cmap_sections)-1]...)) | ||
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| # construct the colormaps | ||
| cmaps = matplotlib.colors.ListedColormap(total_sections) |
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looks bit overly intricated but that's fine
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This can create colormaps to show different layers in an image, e.g. Figure 2 in https://slim.gatech.edu/Publications/Public/Submitted/2022/yin2022TLEdgc/paper.html