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2019-04-30 阅读量: 333
pandas如何处理丢失的数据

删除丢失的数据:

考虑这是由以下代码生成的DataFrame:

import pandas as pd

# Create a DataFrame

dframe = pd.DataFrame({'Geeks': [23, 24, 22],

'For': [10, 12, np.nan],

'geeks': [0, np.nan, np.nan]},

columns =['Geeks', 'For', 'geeks'])

# This will remove all the

# rows with NAN values

# If axis is not defined then

# it is along rows i.e. axis = 0

dframe.dropna(inplace = True)

print(dframe)

# if axis is equal to 1

dframe.dropna(axis = 1, inplace = True)

print(dframe)

0.0000
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