Pandas没有绘制数据透视表输出？

Question

我有一个包含变量Credit_History（0或1）和Loan_Status（Y或N）的数据框。 Temp1只显示我标记为0或1的行数.Temp2是我想将Y或N编码为0或1的位置，然后将其平均。

temp1 = df['Credit_History'].value_counts(ascending=True)
temp2 = df.pivot_table(values='Loan_Status',index=
['Credit_History'],aggfunc=lambda x: x.map({'Y':1,'N':0}).mean())

print ('Frequency Table for Credit History:')
print (temp1)
print ('\nProbility of getting loan for each Credit History class:') 
print (temp2)

当我绘制时，我期望1行乘2列区域。但它看起来像一个2行乘2列的区域，包含3个图。 Temp2被绘制了2次，但除了轴标题之外，其中一个是空白的。我假设我在创建temp2对象时声明错误... enter image description here

import matplotlib.pyplot as plt
fig = plt.figure(figsize=(12,4))
ax1 = fig.add_subplot(121)
ax1.set_xlabel('Credit_History')
ax1.set_ylabel('Count of Applicants')
ax1.set_title('Applicants by Credit_History')
temp1.plot(kind='bar')


ax2 = fig.add_subplot(122)
temp2.plot(kind = 'bar')
ax2.set_xlabel('Credit_History')
ax2.set_ylabel('Probability of getting loan')
ax2.set_title('Probability of getting loan by credit history')

Answer 1

考虑布置绘图的尺寸，然后将轴分配给pandas图：

fig, axs = plt.subplots(nrows = 1, ncols=2, figsize=(12,4))

temp1.plot(kind='bar', title='Applicants by Credit_History', ax=axs[0])             
axs[0].set_xlabel('Credit_History')
axs[0].set_ylabel('Count of Applicants')

temp2.plot(kind = 'bar', title='Probability of getting loan by credit history', ax=axs[1])
axs[1].set_xlabel('Credit_History')
axs[1].set_ylabel('Probability of getting loan')

fig.tight_layout()
plt.show()
plt.clf()
plt.close()

输出 （使用随机数据）