Index.duplicated() Pandas Index.duplicated() Specifies duplicate index values. Duplicate values are denoted as True values in the resulting array. All duplicates can be specified, all but the first or all but the last occurrence of duplicates.
Syntax: Index.duplicated (keep = `first`)
Parameters:
keep: {`first`, `last`, False}, default `first`
The value or values in a set of duplicates to mark as missing.
- & gt; `first`: Mark duplicates as True except for the first occurrence.
- & gt; `last`: Mark duplicates as True except for the last occurrence.
- & gt; False: Mark all duplicates as True.Returns: numpy.ndarray
Example # 1: Use Index.duplicated () to specify all duplicate values in the index except the first.
# import pandas as pd import pandas as pd
# Create index idx = pd.Index ([ `Labrador` , `Beagle` , ` Labrador` , `Lhasa` , ` Husky` , `Beagle` ])
# Print index
idx
Output:
Let`s find out if whether the value present in the Index is duplicate or unique.
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Output:
As we can see in the output, Index.duplicated () all occurrences of the duplicate value are True except for the first occurrence.
Example # 2: Use Index.duplicated () to identify all duplicate values. here all duplicate values will be marked as True
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Output:
Let`s define all duplicate values in the index.
Note: we have NaN values in the index.
