使用误差条图旋转 matplotlib 标记

Question

我正在遵循这个答案来旋转预先存在的 matplotlib 标记。但是，那里的解决方案不适用于误差条图。这是一个简单的example.py：#!/usr/bin/env python3import matplotlib.pyplot as pltfrom matplotlib.markers import MarkerStyle# I want to use this marker in an errorbar plotm = MarkerStyle("D")m._transform.scale(1.0, 0.6)# I can use it in a scatter plotfig, ax = plt.subplots()plt.scatter([1,2,3],[1,2,3], s=225, marker="d")plt.scatter([1,2,3],[2,3,4], s=225, marker=m, color="crimson")plt.show()# which produces a figure similar to https://stackoverflow.com/a/49662571/# But when I use it in errorbarfix, ax = plt.subplots()plt.errorbar([1,2,3],[3,4,5], yerr=[0.5,0.5,0.5], marker=m, color='green')plt.show()# I get#>Traceback (most recent call last):#>  File "./example.py", line 19, in <module>#>    plt.errorbar([1,2,3],[3,4,5], yerr=[0.5,0.5,0.5], marker=m, color='green')#>  File "/usr/local/lib/python3.8/site-packages/matplotlib/pyplot.py", line 2524, in errorbar#>    return gca().errorbar(#>  File "/usr/local/lib/python3.8/site-packages/matplotlib/__init__.py", line 1565, in inner#>    return func(ax, *map(sanitize_sequence, args), **kwargs)#>  File "/usr/local/lib/python3.8/site-packages/matplotlib/axes/_axes.py", line 3265, in errorbar#>    data_line = mlines.Line2D(x, y, **plot_line_style)#>  File "/usr/local/lib/python3.8/site-packages/matplotlib/lines.py", line 378, in __init__#>    self._marker = MarkerStyle(marker, fillstyle)#>  File "/usr/local/lib/python3.8/site-packages/matplotlib/markers.py", line 225, in __init__#>    self.set_marker(marker)#>  File "/usr/local/lib/python3.8/site-packages/matplotlib/markers.py", line 289, in set_marker问：如何在误差条图中使用旋转的预先存在的 matplotlib 标记（或者可能是任何 MarkerStyle 标记）？ （我真的想要 90° 旋转thin_diamond。）

Answer 1

有趣的是，我不知道为什么要这样设计。解决方法是绘制单独的散点图：

fix, ax = plt.subplots()

plt.errorbar([1,2,3],[3,4,5], yerr=[0.5,0.5,0.5], marker=None, color='green')

plt.scatter([1,2,3],[3,4,5], s=225, marker=m, color="green")

plt.show()

输出：

Answer 2

事实证明这是两个错误。PR #16692中修复了一个问题，该问题已合并到 matplotlib 3.3.0 中（我使用的是 3.2.2）。 另一个我必须修复，将在 3.4.0 中修复。如果您现在需要此功能，您可能需要matplotlib/markers.py根据此 diff来修补您的功能。