Bad boxplot legend entries #20512
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Do you think the legend should use boxes as illustrated in the answer to that question? |
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@story645 Yes, I think that should be the default behavior of legend when used on |
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I think this is mostly a matter of setting |
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Ever since v3.5, the first entry in the legend is shown as a rectangular patch with the rest shown as lines:
It's the same regardless of the number of entries. |
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code to reproduce: fig, axs = plt.subplots()
A = 5*np.random.rand(100, 1)
B = 10*np.random.rand(100, 1) -5
C = 7*np.random.rand(100, 1) - 5
bp0 = axs.boxplot(A, positions=[0], patch_artist=True)
bp1 = axs.boxplot(B, positions=[1], patch_artist=True)
bp2 = axs.boxplot(C, positions=[2], patch_artist=True)
axs.legend(['A', 'B', 'C'])ET2: I haven't done a bisect, but #20515 went in around 3.5 and refactored the boxplot code. |
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timhoffm
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Feb 12, 2024
This PR removes the propagation of `labels` to any artist legend labels. Other than the rest of the plotting functions `labels` is not used for legend labels but for xtick labels. This is only poorly documented via https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.bxp.html and in an [example](https://matplotlib.org/stable/gallery/statistics/boxplot_color.html). Whatever our way forward regarding the use of `labels` is, we should by no means propagate them simultaneously to xticks and legend entries. This coupling would cripple users' configurability and limit our ability to migrate to a clear API where legend labels and tick labels can be configured independently. Until we have sorted out a better API, the recommended solution for the original issue matplotlib#20512 is to grab the artists returned from `boxplot()` and either `set_label()` on them or pass them to the legend call `ax.legend(handles, labels)`.
Merged
timhoffm
added a commit
to timhoffm/matplotlib
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this issue
Feb 12, 2024
This PR removes the propagation of `labels` to any artist legend labels. Other than the rest of the plotting functions `labels` is not used for legend labels but for xtick labels. This is only poorly documented via https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.bxp.html and in an [example](https://matplotlib.org/stable/gallery/statistics/boxplot_color.html). Whatever our way forward regarding the use of `labels` is, we should by no means propagate them simultaneously to xticks and legend entries. This coupling would cripple users' configurability and limit our ability to migrate to a clear API where legend labels and tick labels can be configured independently. Until we have sorted out a better API, the recommended solution for the original issue matplotlib#20512 is to grab the artists returned from `boxplot()` and either `set_label()` on them or pass them to the legend call `ax.legend(handles, labels)`.
timhoffm
added a commit
to timhoffm/matplotlib
that referenced
this issue
Feb 14, 2024
This PR removes the propagation of `labels` to any artist legend labels. Other than the rest of the plotting functions `labels` is not used for legend labels but for xtick labels. This is only poorly documented via https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.bxp.html and in an [example](https://matplotlib.org/stable/gallery/statistics/boxplot_color.html). Whatever our way forward regarding the use of `labels` is, we should by no means propagate them simultaneously to xticks and legend entries. This coupling would cripple users' configurability and limit our ability to migrate to a clear API where legend labels and tick labels can be configured independently. Until we have sorted out a better API, the recommended solution for the original issue matplotlib#20512 is to grab the artists returned from `boxplot()` and either `set_label()` on them or pass them to the legend call `ax.legend(handles, labels)`.
Impaler343
pushed a commit
to Impaler343/matplotlib
that referenced
this issue
Mar 8, 2024
This PR removes the propagation of `labels` to any artist legend labels. Other than the rest of the plotting functions `labels` is not used for legend labels but for xtick labels. This is only poorly documented via https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.bxp.html and in an [example](https://matplotlib.org/stable/gallery/statistics/boxplot_color.html). Whatever our way forward regarding the use of `labels` is, we should by no means propagate them simultaneously to xticks and legend entries. This coupling would cripple users' configurability and limit our ability to migrate to a clear API where legend labels and tick labels can be configured independently. Until we have sorted out a better API, the recommended solution for the original issue matplotlib#20512 is to grab the artists returned from `boxplot()` and either `set_label()` on them or pass them to the legend call `ax.legend(handles, labels)`.
Impaler343
pushed a commit
to Impaler343/matplotlib
that referenced
this issue
Mar 14, 2024
This PR removes the propagation of `labels` to any artist legend labels. Other than the rest of the plotting functions `labels` is not used for legend labels but for xtick labels. This is only poorly documented via https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.bxp.html and in an [example](https://matplotlib.org/stable/gallery/statistics/boxplot_color.html). Whatever our way forward regarding the use of `labels` is, we should by no means propagate them simultaneously to xticks and legend entries. This coupling would cripple users' configurability and limit our ability to migrate to a clear API where legend labels and tick labels can be configured independently. Until we have sorted out a better API, the recommended solution for the original issue matplotlib#20512 is to grab the artists returned from `boxplot()` and either `set_label()` on them or pass them to the legend call `ax.legend(handles, labels)`.
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Describe the issue
Legend for entries in boxplot are displayed as thin lines as opposed to patches
When we have multiple box plots in the same axis, legend shows thin lines as opposed to boxes and it is difficult to tell entries apart. This issue has been documented at this link with a reproducible example.
Proposed fix
I don't have a solution :(
Link: https://stackoverflow.com/questions/68124486/improve-matplotlib-legend-for-boxplots-by-showing-patches-instead-of-lines
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