DEPR: GroupBy.dtypes · Issue #51045 · pandas-dev/pandas (original) (raw)

df = pd.DataFrame( { "A": ["foo", "bar", "foo", "bar", "foo", "bar", "foo", "foo"], "B": ["one", "one", "two", "three", "two", "two", "one", "three"], "C": np.random.randn(8), "D": np.random.randn(8), } )

rng = pd.date_range("2014", periods=len(df)) df.columns.name = "foo" df.index = rng

g = df.groupby(["A"])[["C"]] g_exp = df[["C"]].groupby(df["A"])

tm.assert_frame_equal(g.dtypes, g_exp.dtypes)

print(g.dtypes) foo C A
bar float64 foo float64

Not clear to me what this is supposed to mean. The example above is from the one test we have (test_groupby_selection_other_methods) that gets here. Shouldn't a user just check df["C"].dtype in this case?