在Seaborn中组合条形图和线形图

问题描述

我试图在此处合并两个不同的图，一个是条形图，另一个是线形图

我有以下代码：

plt.figure(figsize=(30,7))

# Plot 1: Line chart for loan distribution over years
plt.subplot(1,4,1)
cx = loan_data.groupby('issue_d_year').loan_amnt.count().plot(kind='line',fontsize=7)
for p in cx.patches:
    cx.annotate(format(p.get_height(),'.2f'),(p.get_x() + p.get_width() / 2.,p.get_height()),ha = 'center',va = 'center',xytext = (0,10),textcoords = 'offset points')
plt.title("Number of Loans over years",weight ='bold')
plt.ylabel("Count of loan amount")
plt.xlabel("Loans funded across years")


# Plot 2: bar chart for loan distribution over years
plt.subplot(1,2)
cxs = loan_data.groupby('issue_d_year').loan_amnt.count().plot(kind='bar',fontsize=7)
for p in cxs.patches:
    cxs.annotate(format(p.get_height(),weight ='bold')
plt.ylabel("Count of loan amount")
plt.xlabel("Loans funded across years")

plt.figure(figsize=(70,7))

# Plot 3: Line chart for loan distribution over months
plt.subplot(1,3)
dx = loan_data.groupby('issue_d_month').loan_amnt.count().plot(kind='line',fontsize=7)
for p in dx.patches:
    dx.annotate(format(p.get_height(),textcoords = 'offset points')
plt.title("Number of Loans over months",weight ='bold')
plt.ylabel("Count of loan amount")
plt.xlabel("Loans funded across months")


# Plot 4: Bar chart for loan distribution over months
plt.subplot(1,4)
dxs = loan_data.groupby('issue_d_month').loan_amnt.count().plot(kind='bar',fontsize=7)
for p in dxs.patches:
    dxs.annotate(format(p.get_height(),weight ='bold')
plt.ylabel("Count of loan amount")
plt.xlabel("Loans funded across months")
plt.show()

输出：

有没有办法我可以将前2个图表合并为一个，将底部2个图表合并为一个，并用红色将线涂成红色

解决方法

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