8000 Boxplot fix median line extending past box boundaries (#26462) · matplotlib/matplotlib@813e41a · GitHub
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kidkoder432QuLogic
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Boxplot fix median line extending past box boundaries (#26462)
Closes #19409. - Set the default capstyles (solid and dashed) for median and mean lines in boxplots to "butt". I also modieifed the behaviror for setting the capstyle for median lines to obey the user's preference instead of overriding it. - The boxplot PDFs were using the wrong capstyle, so I modified the references to use the butt captyle. - Fixed a small typo in `bxp()` - Added a new test for the median line (from PR #23335) Co-authored-by: Elliott Sales de Andrade <quantum.analyst@gmail.com>
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‎lib/matplotlib/axes/_axes.py

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@@ -4095,7 +4095,7 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
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capwidths : float or array-like, default: None
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Either a scalar or a vector and sets the width of each cap.
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The default is ``0.5*(with of the box)``, see *widths*.
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The default is ``0.5*(width of the box)``, see *widths*.
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vert : bool, default: True
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If `True` (default), makes the boxes vertical.
@@ -4147,6 +4147,17 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
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--------
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.. plot:: gallery/statistics/bxp.py
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"""
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# Clamp median line to edge of box by default.
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medianprops = {
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"solid_capstyle": "butt",
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"dash_capstyle": "butt",
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**(medianprops or {}),
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}
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meanprops = {
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"solid_capstyle": "butt",
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"dash_capstyle": "butt",
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**(meanprops or {}),
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}
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# lists of artists to be output
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whiskers = []

‎lib/matplotlib/tests/baseline_images/test_axes/boxplot.pdf

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‎lib/matplotlib/tests/baseline_images/test_axes/boxplot_custom_capwidths.png

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‎lib/matplotlib/tests/baseline_images/test_axes/boxplot_mod_artists_after_plotting.png

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‎lib/matplotlib/tests/baseline_images/test_axes/boxplot_no_inverted_whisker.png

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‎lib/matplotlib/tests/baseline_images/test_axes/boxplot_rc_parameters.pdf

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‎lib/matplotlib/tests/baseline_images/test_axes/boxplot_rc_parameters.png

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‎lib/matplotlib/tests/baseline_images/test_axes/boxplot_sym.png

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‎lib/matplotlib/tests/baseline_images/test_axes/boxplot_with_CIarray.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_baseline.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_custom_capwidth.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_custom_capwidths.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_custombox.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_customcap.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_customoutlier.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_custompatchartist.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_custompositions.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_customwhisker.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_customwidths.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_horizontal.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_no_flier_stats.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_nobox.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_nocaps.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_patchartist.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_percentilewhis.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_rangewhis.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_scalarwidth.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_with_xlabels.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_with_ylabels.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_withmean_custompoint.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_withmean_line.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_withmean_point.png

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‎lib/matplotlib/tests/baseline_images/test_axes/bxp_withnotch.png

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‎lib/matplotlib/tests/test_axes.py

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Original file line numberDiff line numberDiff line change
@@ -3223,6 +3223,15 @@ def test_bxp_customwhisker():
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whiskerprops=dict(linestyle='-', color='m', lw=3)))
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@check_figures_equal()
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def test_boxplot_median_bound_by_box(fig_test, fig_ref):
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data = np.arange(3)
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medianprops_test = {"linewidth": 12}
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medianprops_ref = {**medianprops_test, "solid_capstyle": "butt"}
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fig_test.subplots().boxplot(data, medianprops=medianprops_test)
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fig_ref.subplots().boxplot(data, medianprops=medianprops_ref)
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@image_comparison(['bxp_withnotch.png'],
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remove_text=True,
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savefig_kwarg={'dpi': 40},

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