Figures names in Pandas Boxplots - pandas

Question

I created 2 boxplots using pandas.
Then each figure gets referenced with plt.gcf()
When trying to show the plots, only the last boxplot gets shown. Its like fig1 is getting overwritten.
What is the correct way of showing both boxplots?
This is the sample code
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
dates = pd.date_range('20000101', periods=10)
df = pd.DataFrame(index=dates)
df['A'] = np.cumsum(np.random.randn(10))
df['B'] = np.random.randint(-1,2,size=10)
df['C'] = range(1,11)
df['D'] = range(12,22)
# first figure
ax_boxplt1 = df[['A','B']].boxplot()
fig1 = plt.gcf()
# second figure
ax_boxplt2 = df[['C','D']].boxplot()
fig2 = plt.gcf()
# print figures
figures = [fig1,fig2]
for fig in figures:
print(fig)

Answer 1

Create a figure with two axes and plot to each of them separately
fig, axes = plt.subplots(2)
dates = pd.date_range('20000101', periods=10)
df = pd.DataFrame(index=dates)
df['A'] = np.cumsum(np.random.randn(10))
df['B'] = np.random.randint(-1,2,size=10)
df['C'] = range(1,11)
df['D'] = range(12,22)
# first figure
df[['A','B']].boxplot(ax=axes[0]) # Added `ax` parameter
# second figure
df[['C','D']].boxplot(ax=axes[1]) # Added `ax` parameter
plt.show()

Answer 2

In order to get two figures, define the figure before plotting to it. You can use a number enumerate the figures.
plt.figure(1)
# do something with the first figure
plt.figure(2)
# do something with the second figure
Complete example:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
dates = pd.date_range('20000101', periods=10)
df = pd.DataFrame(index=dates)
df['A'] = np.cumsum(np.random.randn(10))
df['B'] = np.random.randint(-1,2,size=10)
df['C'] = range(1,11)
df['D'] = range(12,22)
# first figure
fig1=plt.figure(1)
ax_boxplt1 = df[['A','B']].boxplot()
# second figure
fig2=plt.figure(2)
ax_boxplt2 = df[['C','D']].boxplot()
plt.show()