modin.pandas.DataFrameGroupBy.size¶ DataFrameGroupBy.size()[source]¶ Compute group sizes. Returns: Number of rows in each group as a Series if as_index is True or a DataFrame if as_index is False. Return type: DataFrame or Series Examples CopyExpand>>> data = [[1, 2, 3], [1, 5, 6], [7, 8, 9]] >>> df = pd.DataFrame(data, columns=["a", "b", "c"], ... index=["owl", "toucan", "eagle"]) >>> df a b c owl 1 2 3 toucan 1 5 6 eagle 7 8 9 >>> df.groupby("a").size() a 1 2 7 1 dtype: int64 Show lessSee moreScroll to top For SeriesGroupBy: CopyExpand>>> data = [[1, 2, 3], [1, 5, 6], [7, 8, 9]] >>> df = pd.DataFrame(data, columns=["a", "b", "c"], ... index=["owl", "toucan", "eagle"]) >>> df a b c owl 1 2 3 toucan 1 5 6 eagle 7 8 9 >>> df.groupby("a")["b"].size() a 1 2 7 1 Name: b, dtype: int64 Show lessSee moreScroll to top