我想改变饼图中切片的顺序。目前,切片按降序排列。我希望图表的切片按以下顺序排列:是>有时>大多数时间>否
我使用以下代码:
colors = [ '#99f3bd', '#fbaccc','#a8df65', '#ff7b54']
fig, ax = plt.subplots(figsize=(5,15))
ax.set_title('Treatment Group', fontsize=25, fontname="Times New Roman Bold")
ax = df['q6_t'].value_counts(normalize=True).plot.pie(autopct='%1.0f%%', colors = colors)
ax.set_ylabel("")
plt.savefig('q6_t.png', bbox_inches = 'tight', transparent=True)
发布于 2021-02-17 21:36:33
令我惊讶的是,我没有找到这个可能是常见问题的副本。如果您想要饼图中的特定顺序,则必须对由值计数生成的pandas序列进行排序:
import matplotlib.pyplot as plt
import pandas as pd
#corresponding color-label pairs
colors = ['#99f3bd', '#fbaccc', '#a8df65', '#ff7b54']
labels = ["Yes", "Sometimes", "Most of the times", "No"]
#test data generation
import numpy as np
n=10
np.random.seed(1234)
df=pd.DataFrame({"A": np.random.random(n), "q6_t": np.random.choice(labels, n)})
#print(df)
fig, ax = plt.subplots(figsize=(8, 8))
ax.set_title('Treatment Group', fontsize=25, fontname="Times New Roman Bold")
#reindex(labels) sorts the index of the value counts according to the list labels
ax = df['q6_t'].value_counts(normalize=True).reindex(labels).plot.pie(autopct='%1.0f%%', colors = colors)
ax.set_ylabel("")
plt.show()
示例输出:
https://stackoverflow.com/questions/66240473
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