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Changing values on a filtered table (with inplace=True) does not update the underlying DataFrame #745
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@DiegoF90 so What you want to do in order to get your updated dataframe would be:
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Pretty much what the issue tittle says. For example use the below (e.g. in Jupyter Notebook):
Then filter column 'a' by those having value 'no'. Than delete the entries of column 'b'. A pandas warning on setting a value on a copy will appear, and as suggested when printing
df
Column 'b' will still show contents.
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