在单个图中绘制多个饼图

Question

这些是我的专栏：

SeniorCitizen  Partner   Dependent
Yes            Yes       No  
No             Yes       No 
No             No        Yes
Yes            No        No

我想在单个图形或工作表中绘制所有这些列的单独饼图。这是我的代码：

ax1 = df2['SeniorCitizen'].value_counts().plot(kind='pie', figsize=(5,5), fontsize=10, 
                                              labels = ['No', 'Yes'], autopct='%1.0f%%')
ax1.set_title('% of Senior Citizens', fontsize = 12)
plt.show()

ax2 = df2['Partner'].value_counts().plot(kind='pie', figsize=(5,5), fontsize=10, autopct='%1.0f%%')
ax2.set_title('% of People with and without partner', fontsize = 12)
plt.show()

ax2 = df2['Dependents'].value_counts().plot(kind='pie', figsize=(5,5), fontsize=10, autopct='%1.0f%%')
ax2.set_title('% of People with and without dependent', fontsize = 12)
plt.show()

输出一个接一个地出现在一条直线上。我认为有一个叫做 subplots 的概念，可以让它以水平的形式出现。

谁能帮忙解释和代码？ 像这样的东西：

Answer 1

是的，有matplotlib.pyplot.subplots：

import matplotlib.pyplot as plt

# If you want a 2 by 2 grid of plots, do:
fig, axes = plt.subplots(2,2)

# "axes" will be a list of all the matplotlib.axes.Axes objects

# For one 4-long row of plots:
fig, axes = plt.subplots(1, 4)

# And one 4-tall column:
fig, axes = plt.subplot(4, 1)

# etc

您的代码可以适应：

fig, axes = plt.subplots(1, 3)

axes[0].plot(df2['SeniorCitizen'].value_counts(), kind='pie', figsize=(5,5), fontsize=10, 
                                              labels = ['No', 'Yes'], autopct='%1.0f%%')
axes[0].set_title('% of Senior Citizens', fontsize = 12)

axes[1].plot(df2['Partner'].value_counts(), kind='pie', figsize=(5,5), fontsize=10, autopct='%1.0f%%')
axes[1].set_title('% of People with and without partner', fontsize = 12)

axes[2].plot(df2['Dependents'].value_counts(), kind='pie', figsize=(5,5), fontsize=10, autopct='%1.0f%%')
axes[2].set_title('% of People with and without dependent', fontsize = 12)

plt.show()