pyspark.pandas.groupby.GroupBy.count¶
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GroupBy.count() → FrameLike¶ Compute count of group, excluding missing values.
Examples
>>> df = ps.DataFrame({'A': [1, 1, 2, 1, 2], ... 'B': [np.nan, 2, 3, 4, 5], ... 'C': [1, 2, 1, 1, 2]}, columns=['A', 'B', 'C']) >>> df.groupby('A').count().sort_index() B C A 1 2 3 2 2 2