import numpy as np import pytest from pandas import DataFrame, Index, PeriodIndex, Series import pandas._testing as tm @pytest.mark.parametrize("by", ["A", "B", ["A", "B"]]) def test_size(df, by): grouped = df.groupby(by=by) result = grouped.size() for key, group in grouped: assert result[key] == len(group) @pytest.mark.parametrize("by", ["A", "B", ["A", "B"]]) @pytest.mark.parametrize("sort", [True, False]) def test_size_sort(df, sort, by): df = DataFrame(np.random.choice(20, (1000, 3)), columns=list("ABC")) left = df.groupby(by=by, sort=sort).size() right = df.groupby(by=by, sort=sort)["C"].apply(lambda a: a.shape[0]) tm.assert_series_equal(left, right, check_names=False) def test_size_series_dataframe(): # https://github.com/pandas-dev/pandas/issues/11699 df = DataFrame(columns=["A", "B"]) out = Series(dtype="int64", index=Index([], name="A")) tm.assert_series_equal(df.groupby("A").size(), out) def test_size_groupby_all_null(): # https://github.com/pandas-dev/pandas/issues/23050 # Assert no 'Value Error : Length of passed values is 2, index implies 0' df = DataFrame({"A": [None, None]}) # all-null groups result = df.groupby("A").size() expected = Series(dtype="int64", index=Index([], name="A")) tm.assert_series_equal(result, expected) def test_size_period_index(): # https://github.com/pandas-dev/pandas/issues/34010 ser = Series([1], index=PeriodIndex(["2000"], name="A", freq="D")) grp = ser.groupby(level="A") result = grp.size() tm.assert_series_equal(result, ser) @pytest.mark.parametrize("as_index", [True, False]) def test_size_on_categorical(as_index): df = DataFrame([[1, 1], [2, 2]], columns=["A", "B"]) df["A"] = df["A"].astype("category") result = df.groupby(["A", "B"], as_index=as_index).size() expected = DataFrame( [[1, 1, 1], [1, 2, 0], [2, 1, 0], [2, 2, 1]], columns=["A", "B", "size"] ) expected["A"] = expected["A"].astype("category") if as_index: expected = expected.set_index(["A", "B"])["size"].rename(None) tm.assert_equal(result, expected)