如何用sns.boxplot或sns.catplot在盒图中添加哈茨

Question

我需要把舱口加到一个明确的盒子里。我所拥有的是：

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我需要的是这样的东西(用中线)：

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我试过的是这个代码：

exercise = sns.load_dataset("exercise")
g = sns.catplot(x="time", y="pulse", hue="kind", data=exercise, kind="box")
bars = g.axes[0][0].patches
hatches=['//','..','xx','//','..','xx','//','..','xx']
for pat,bar in zip(hatches,bars):
    bar.set_hatch(pat)

这只会产生第一个数字。第3-6行的想法来自于this question。但是，在第3行中获得axes[0][0]的想法来自于this question。

因为FacetGrids没有像补丁或容器这样的属性，所以很难将个别图中关于孵化的答案调整到分类图中，所以我无法理解它。

其他复习过的不起作用的问题：

• Face pattern for boxes in boxplots

Answer 1

for ax in g.axes.flat:.

• ax.patches对每个子图/ FacetGrid进行迭代，

1. 包含matplotlib.patches.Rectangle和matplotlib.patches.PathPatch，因此正确的matplotlib.patches.Rectangle和matplotlib.patches.PathPatch必须为每个组在每个方面出现所有颜色，否则patches和hatches将不匹配。在这种情况下，可能需要手动或条件代码来正确确定works.

，因此zip(patches, h)

• Tested in python 3.10**，** pandas 1.4.2**，** matplotlib 3.5.1**，** seaborn 0.11.2

import matplotlib as mpl
import seaborn as sns

# load test data
exercise = sns.load_dataset("exercise")

# plot
g = sns.catplot(x="time", y="pulse", hue="kind", data=exercise, col='diet', kind="box")

# hatches must equal the number of hues (3 in this case)
hatches = ['//', '..', 'xx']

# iterate through each subplot / Facet
for ax in g.axes.flat:

    # select the correct patches
    patches = [patch for patch in ax.patches if type(patch) == mpl.patches.PathPatch]
    # the number of patches should be evenly divisible by the number of hatches
    h = hatches * (len(patches) // len(hatches))
    # iterate through the patches for each subplot
    for patch, hatch in zip(patches, h):
        patch.set_hatch(hatch)
        fc = patch.get_facecolor()
        patch.set_edgecolor(fc)
        patch.set_facecolor('none')

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• 添加以下内容，以更改图例.

for lp, hatch in zip(g.legend.get_patches(), hatches):
    lp.set_hatch(hatch)
    fc = lp.get_facecolor()
    lp.set_edgecolor(fc)
    lp.set_facecolor('none')

​

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• 如果仅使用轴级sns.boxplot，则不需要迭代多个轴.

。

ax = sns.boxplot(x="time", y="pulse", hue="kind", data=exercise)

# select the correct patches
patches = [patch for patch in ax.patches if type(patch) == mpl.patches.PathPatch]
# the number of patches should be evenly divisible by the number of hatches
h = hatches * (len(patches) // len(hatches))
# iterate through the patches for each subplot
for patch, hatch in zip(patches, h):
    patch.set_hatch(hatch)
    fc = patch.get_facecolor()
    patch.set_edgecolor(fc)
    patch.set_facecolor('none')

l = ax.legend()
    
for lp, hatch in zip(l.get_patches(), hatches):
    lp.set_hatch(hatch)
    fc = lp.get_facecolor()
    lp.set_edgecolor(fc)
    lp.set_facecolor('none')

​

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保留方框情节的面部颜色的patch.set_facecolor('none')

• Set

• ：

1. 将edgecolor移除为'k' (黑色)而不是fc、patch.set_edgecolor('k').

- Applies to the `sns.catplot` code too.

ax = sns.boxplot(x="time", y="pulse", hue="kind", data=exercise)

# select the correct patches
patches = [patch for patch in ax.patches if type(patch) == mpl.patches.PathPatch]
# the number of patches should be evenly divisible by the number of hatches
h = hatches * (len(patches) // len(hatches))
# iterate through the patches for each subplot
for patch, hatch in zip(patches, h):
    patch.set_hatch(hatch)
    patch.set_edgecolor('k')
    
l = ax.legend()
    
for lp, hatch in zip(l.get_patches(), hatches):
    lp.set_hatch(hatch)
    lp.set_edgecolor('k')

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