# 带有自定义填充颜色的箱形图

此图说明了如何创建两种类型的箱形图(矩形和缺口),以及如何通过访问框图的艺术家属性来使用自定义颜色填充它们。 此外,labels参数用于为每个样本提供x-tick标签。

关于箱形图及其历史的一般参考可以在这里找到:http://vita.had.co.nz/papers/boxplots.pdf

自定义颜色箱形图示例

import matplotlib.pyplot as plt
import numpy as np

# Random test data
np.random.seed(19680801)
all_data = [np.random.normal(0, std, size=100) for std in range(1, 4)]
labels = ['x1', 'x2', 'x3']

fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(9, 4))

# rectangular box plot
bplot1 = axes[0].boxplot(all_data,
                         vert=True,  # vertical box alignment
                         patch_artist=True,  # fill with color
                         labels=labels)  # will be used to label x-ticks
axes[0].set_title('Rectangular box plot')

# notch shape box plot
bplot2 = axes[1].boxplot(all_data,
                         notch=True,  # notch shape
                         vert=True,  # vertical box alignment
                         patch_artist=True,  # fill with color
                         labels=labels)  # will be used to label x-ticks
axes[1].set_title('Notched box plot')

# fill with colors
colors = ['pink', 'lightblue', 'lightgreen']
for bplot in (bplot1, bplot2):
    for patch, color in zip(bplot['boxes'], colors):
        patch.set_facecolor(color)

# adding horizontal grid lines
for ax in axes:
    ax.yaxis.grid(True)
    ax.set_xlabel('Three separate samples')
    ax.set_ylabel('Observed values')

plt.show()

# 下载这个示例