删除含有缺失值的行df

要删除含有缺失值的行df，可以使用df.dropna()方法。这个方法会删除所有含有缺失值的行。具体操作如下所示：

import pandas as pd

# 原数据
df = pd.DataFrame({'A':\['a1','a1','a2','a2'\], 'B':\['b1','b2',None,'b2'\], 'C':\[1,2,3,4\], 'D':\[5,6,None,8\], 'E':\[5,None,7,8\] })

# 删除含有缺失值的行
df.dropna(inplace=True)

这样就会删除df中所有含有缺失值的行。
#### 引用[.reference_title]
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