Python Matplotlib Boxplot颜色 [英] Python Matplotlib Boxplot Color

问题描述

我正在尝试使用Matplotlib制作两组箱形图.我希望每组箱形图以不同的颜色填充(以及点和胡须).所以基本上情节上会有两种颜色

I am trying to make two sets of box plots using Matplotlib. I want each set of box plot filled (and points and whiskers) in a different color. So basically there will be two colors on the plot

下面是我的代码，如果您可以将这些图表绘制成彩色，那就太好了. d0和d1分别是数据列表的列表.我想要用一种颜色的d0中的数据制作的箱形图集，用另一种颜色的d1中的数据制成的箱形图集.

My code is below, would be great if you can help make these plots in color. d0 and d1 are each list of lists of data. I want the set of box plots made with data in d0 in one color, and the set of box plots with data in d1 in another color.

plt.boxplot(d0, widths = 0.1)
plt.boxplot(d1, widths = 0.1)

推荐答案

要着色箱图，您需要首先使用patch_artist=True关键字告诉它箱是补丁，而不仅仅是路径.然后，您在此处有两个主要选择:

To colorize the boxplot, you need to first use the patch_artist=True keyword to tell it that the boxes are patches and not just paths. Then you have two main options here:

1. 通过...props关键字参数设置颜色，例如
   boxprops=dict(facecolor="red").有关所有关键字参数，请参考文档
2. 使用plt.setp(item, properties)功能设置盒子，胡须，飞行物，中位数和上限的属性.
3. 从返回的字典中获取框的各个项目，然后分别对它们使用item.set_<property>(...).在以下问题的答案中对此选项进行了详细说明: python matplotlib填充的箱线图，其中允许分别更改各个盒子的颜色.

1. set the color via ...props keyword argument, e.g.
   boxprops=dict(facecolor="red"). For all keyword arguments, refer to the documentation
2. Use the plt.setp(item, properties) functionality to set the properties of the boxes, whiskers, fliers, medians, caps.
3. obtain the individual items of the boxes from the returned dictionary and use item.set_<property>(...) on them individually. This option is detailed in an answer to the following question: python matplotlib filled boxplots, where it allows to change the color of the individual boxes separately.

完整的示例，显示选项1和2:

The complete example, showing options 1 and 2:

import matplotlib.pyplot as plt
import numpy as np
data = np.random.normal(0.1, size=(100,6))
data[76:79,:] = np.ones((3,6))+0.2

plt.figure(figsize=(4,3))
# option 1, specify props dictionaries
c = "red"
plt.boxplot(data[:,:3], positions=[1,2,3], notch=True, patch_artist=True,
            boxprops=dict(facecolor=c, color=c),
            capprops=dict(color=c),
            whiskerprops=dict(color=c),
            flierprops=dict(color=c, markeredgecolor=c),
            medianprops=dict(color=c),
            )


# option 2, set all colors individually
c2 = "purple"
box1 = plt.boxplot(data[:,::-2]+1, positions=[1.5,2.5,3.5], notch=True, patch_artist=True)
for item in ['boxes', 'whiskers', 'fliers', 'medians', 'caps']:
        plt.setp(box1[item], color=c2)
plt.setp(box1["boxes"], facecolor=c2)
plt.setp(box1["fliers"], markeredgecolor=c2)


plt.xlim(0.5,4)
plt.xticks([1,2,3], [1,2,3])
plt.show()

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