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pandas.DataFrame.drop_duplicates
DataFrame.drop_duplicates(self, subset=None, keep='first', inplace=False)
[source]-
Return DataFrame with duplicate rows removed, optionally only considering certain columns. Indexes, including time indexes are ignored.
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’
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first
: Drop duplicates except for the first occurrence.last
: Drop duplicates except for the last occurrence.- False : Drop all duplicates.
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inplace : boolean, default False
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Whether to drop duplicates in place or to return a copy
Returns: - DataFrame
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.DataFrame.drop_duplicates.html