Web Reference: Oct 3, 2025 · Retrieving unique values from a column in a Pandas DataFrame helps identify distinct elements, analyze categorical data, or detect duplicates. For example, if a column B contains ['B1', 'B2', 'B3', 'B4', 'B4'], the unique values are ['B1', 'B2', 'B3', 'B4']. pandas.unique # pandas.unique(values) [source] # Return unique values based on a hash table. Uniques are returned in order of appearance. This does NOT sort. Significantly faster than numpy.unique for long enough sequences. Includes NA values. Parameters: values1d array-like The input array-like object containing values from which to extract ... Jan 19, 2024 · This article explains how to get unique values and their counts in a column (= Series) of a DataFrame in pandas. Use the unique(), value_counts(), and nunique() methods on Series. nunique() is also available as a method on DataFrame.
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Last Updated: April 7, 2026
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