Python 如何在 dropna() 熊猫数据帧后重置索引熊猫数据帧
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how to reset index pandas dataframe after dropna() pandas dataframe
提问by JPC
I"m not sure how to reset index after dropna()
我不知道如何在 dropna() 后重置索引
df_all = df_all.dropna()
df_all.reset_index(drop=True)
but after drop row index would skip for example jump from 0,1,2,4 ..
但是在删除行索引后会跳过例如从 0,1,2,4 跳转..
回答by John Zwinck
The code you've posted already does what you want, but does not do it "in place." Try adding inplace=Trueto reset_index()or else reassigning the result to df_all. Note that you can also use inplace=Truewith dropna(), so:
您发布的代码已经完成了您想要的操作，但并未“就地”完成。尝试添加inplace=True到reset_index()或将结果重新分配给df_all。请注意，您也可以使用inplace=Truewith dropna()，因此：
df_all.dropna(inplace=True)
df_all.reset_index(drop=True, inplace=True)
Does it all in place. Or,
是否都到位。或者，
df_all = df_all.dropna()
df_all = df_all.reset_index(drop=True)
to reassign df_all.
重新分配df_all.
