转自 https://blog.youkuaiyun.com/y12345678904/article/details/72457486
fillna()会填充nan数据,返回填充后的结果。如果希望在原DataFrame中修改,则把inplace设置为True
- df = pd.DataFrame({‘id’:[1, 2, nan, 4, nan, 6, 1, 2, 3], ‘item1’:[1, 2, 3, 4, nan, 6, 1, 2, 3], ‘item2’:[1, 2, 3, 4, 5, 6, 1, nan, 3]})
- print(df)
- df.fillna(0, inplace = True)
- print(df)

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