pandas.api.extensions.ExtensionArray.duplicated

ExtensionArray.duplicated(keep='first')[source]

Return boolean ndarray denoting duplicate values.

Parameters:

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

• first : Mark duplicates as True except for the first occurrence.

• last : Mark duplicates as True except for the last occurrence.

• False : Mark all duplicates as True.

Returns:

ndarray[bool]

Examples

>>> pd.array([1, 1, 2, 3, 3], dtype="Int64").duplicated()
array([False,  True, False, False,  True])