pandas.DataFrame.drop_duplicates

Posted 2020-11-22 zjuhaohaoxuexi

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DataFrame.drop_duplicates(self, subset=None, keep=‘first‘, inplace=False)

Return DataFrame with duplicate rows removed, optionally only considering certain columns. Indexes, including time indexes are ignored.

Parameters:

Parameters:	subset : column label or sequence of labels, optional Only consider certain columns for identifying duplicates, by default use all of the columns keep : {‘first’, ‘last’, False}, default ‘first’ `first` : Drop duplicates except for the first occurrence. `last` : Drop duplicates except for the last occurrence. False : Drop all duplicates. inplace : boolean, default False Whether to drop duplicates in place or to return a copy
Returns:	DataFrame

subset : column label or sequence of labels, optional

Only consider certain columns for identifying duplicates, by default use all of the columns

keep : {‘first’, ‘last’, False}, default ‘first’

inplace : boolean, default False

Whether to drop duplicates in place or to return a copy

Returns:

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