如何指定部分直方图块的颜色？

Question

我想制作下图
- 请注意，一根柱子部分是蓝色的，部分是蓝绿色的。这就是我要重现的内容

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Rectangle

# plt parameters
plt.rcParams['figure.figsize'] = (10.0, 10.0)
plt.style.use('seaborn-dark-palette')
plt.rcParams['axes.grid'] = True
plt.rcParams["patch.force_edgecolor"] = True

# data
np.random.seed(365)
replicates = np.random.normal(0.0011542834124829882, 1.6243483937004772, 10000)

mean_diff = 1.1582360922659518

# plot replicates
#  p = sns.distplot(replicates, bins=30, )

# distplot is deprecated, so use histplot
p = sns.histplot(replicates, bins=30, stat='density')

# add the vertical line
plt.vlines(mean_diff, 0, 0.25, color='r', label='mean')

# add the annotation
plt.annotate('p-value', xy=(3.5, 0.05), weight='bold', color='teal',
             xytext=(4, 0.15), fontsize=15, arrowprops=dict(arrowstyle="->", color='teal'))

# color bars greater than mean_diff except the partial bar
for rectangle in p.patches:
    if rectangle.get_x() >= mean_diff:
        rectangle.set_facecolor('teal')

# I tried adding a Rectangle of the following dimensions, but it didn't color the rectangle 
Rectangle(xy=(mean_diff, 0), width=1.28523-mean_diff, height=0.206371, angle=0).set_facecolor('teal')

# add cosmetics
plt.legend()
plt.ylabel('PDF')
plt.xlabel('PA - OH mean percent replicate vote difference')
plt.show()

Rectangle(xy=(0.876747, 0), width=0.408487, height=0.206371, angle=0)是需要局部着色的Rectangle。
- Rectangle(xy=(1.28523, 0), width=0.408487, height=0.150066, angle=0) 是紧随其后的补丁，颜色为 Teal

我的代码生成的图

请注意，从平均值开始的部分柱状图不是 teal

Answer 1

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Rectangle

# plt parameters
plt.rcParams['figure.figsize'] = (10.0, 10.0)
plt.style.use('seaborn-dark-palette')
plt.rcParams['axes.grid'] = True
plt.rcParams["patch.force_edgecolor"] = True

# data
np.random.seed(365)
replicates = np.random.normal(0.0011542834124829882, 1.6243483937004772, 10000)

mean_diff = 1.1582360922659518

# plot replicates
p = sns.distplot(replicates, bins=30)

# add the vertical line
plt.vlines(mean_diff, 0, 0.25, color='r', label='mean', colors="r")

# add the annotation
plt.annotate('p-value', xy=(3.5, 0.05), weight='bold', color='teal',
             xytext=(4, 0.15), fontsize=15, arrowprops=dict(arrowstyle="->", color='teal'))

# color bars greater than mean_diff except the partial bar
for rectangle in p.patches:
    if rectangle.get_x() >= mean_diff:
        rectangle.set_facecolor('teal')

# I tried adding a Rectangle of the following dimensions, but it didn't color the rectangle
width = 1.28523-mean_diff
plt.bar(x=mean_diff+0.5*width,height=0.206371,width=width,color="#99cccc",edgecolor="#7a7d89")
plt.show()

这将以匹配的方式添加栏。正如我们之前所说，有点老套。

如何指定部分直方图块的颜色？

How can I specify the color for a partial histogram patch?

python

matplotlib

histogram

seaborn

我的代码生成的图