Python中的兩個子圖（matplotlib）

Question

我想在Python中創建兩個子圖（使用Anaconda 2.7），但是我編寫的代碼會生成兩個圖，兩者都不會顯示太多。 代碼如下：

import pandas as pd 
import pandas.io.data as web 

import matplotlib.pyplot as plt 
from matplotlib import style 
style.use('ggplot') 

import datetime 

start = datetime.datetime(2000, 10, 23) 
end = datetime.datetime(2016, 10, 23) 

df = web.DataReader("BAC", "yahoo", start, end) 

df['100MA'] = pd.rolling_mean(df['Adj Close'], 100, min_periods=1) 
df['STD'] = pd.rolling_std(df['Close'], 25, min_periods=1) 

print(df.tail()) 

ax1 = plt.subplot(2, 1, 1) 
df[['Adj Close', '100MA']].plot() 
ax2 = plt.subplot(2, 1, 2, sharex=ax1) 
df['STD'].plot() 
plt.show() 

在此先感謝！

Answer 1

import pandas as pd 
import pandas.io.data as web 

import matplotlib.pyplot as plt 
from matplotlib import style 
style.use('ggplot') 

import datetime 

start = datetime.datetime(2000, 10, 23) 
end = datetime.datetime(2016, 10, 23) 

df = web.DataReader("BAC", "yahoo", start, end) 

df['100MA'] = pd.rolling_mean(df['Adj Close'], 100, min_periods=1) 
df['STD'] = pd.rolling_std(df['Close'], 25, min_periods=1) 

print(df.tail()) 
f,axarr = plt.subplots(2,1) 
df[['Adj Close', '100MA']].plot(ax=axarr[0]) 
df['STD'].plot(ax=axarr[1]) 
plt.show() 

結果：