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- """
- Tests that apply to all groupby operation methods.
- The only tests that should appear here are those that use the `groupby_func` fixture.
- Even if it does use that fixture, prefer a more specific test file if it available
- such as:
- - test_categorical
- - test_groupby_dropna
- - test_groupby_subclass
- - test_raises
- """
- import pytest
- import pandas as pd
- from pandas import DataFrame
- import pandas._testing as tm
- from pandas.tests.groupby import get_groupby_method_args
- def test_multiindex_group_all_columns_when_empty(groupby_func):
- # GH 32464
- df = DataFrame({"a": [], "b": [], "c": []}).set_index(["a", "b", "c"])
- gb = df.groupby(["a", "b", "c"], group_keys=False)
- method = getattr(gb, groupby_func)
- args = get_groupby_method_args(groupby_func, df)
- warn = FutureWarning if groupby_func == "fillna" else None
- warn_msg = "DataFrameGroupBy.fillna is deprecated"
- with tm.assert_produces_warning(warn, match=warn_msg):
- result = method(*args).index
- expected = df.index
- tm.assert_index_equal(result, expected)
- def test_duplicate_columns(request, groupby_func, as_index):
- # GH#50806
- if groupby_func == "corrwith":
- msg = "GH#50845 - corrwith fails when there are duplicate columns"
- request.applymarker(pytest.mark.xfail(reason=msg))
- df = DataFrame([[1, 3, 6], [1, 4, 7], [2, 5, 8]], columns=list("abb"))
- args = get_groupby_method_args(groupby_func, df)
- gb = df.groupby("a", as_index=as_index)
- warn = FutureWarning if groupby_func == "fillna" else None
- warn_msg = "DataFrameGroupBy.fillna is deprecated"
- with tm.assert_produces_warning(warn, match=warn_msg):
- result = getattr(gb, groupby_func)(*args)
- expected_df = df.set_axis(["a", "b", "c"], axis=1)
- expected_args = get_groupby_method_args(groupby_func, expected_df)
- expected_gb = expected_df.groupby("a", as_index=as_index)
- warn = FutureWarning if groupby_func == "fillna" else None
- warn_msg = "DataFrameGroupBy.fillna is deprecated"
- with tm.assert_produces_warning(warn, match=warn_msg):
- expected = getattr(expected_gb, groupby_func)(*expected_args)
- if groupby_func not in ("size", "ngroup", "cumcount"):
- expected = expected.rename(columns={"c": "b"})
- tm.assert_equal(result, expected)
- @pytest.mark.parametrize(
- "idx",
- [
- pd.Index(["a", "a"], name="foo"),
- pd.MultiIndex.from_tuples((("a", "a"), ("a", "a")), names=["foo", "bar"]),
- ],
- )
- def test_dup_labels_output_shape(groupby_func, idx):
- if groupby_func in {"size", "ngroup", "cumcount"}:
- pytest.skip(f"Not applicable for {groupby_func}")
- df = DataFrame([[1, 1]], columns=idx)
- grp_by = df.groupby([0])
- args = get_groupby_method_args(groupby_func, df)
- warn = FutureWarning if groupby_func == "fillna" else None
- warn_msg = "DataFrameGroupBy.fillna is deprecated"
- with tm.assert_produces_warning(warn, match=warn_msg):
- result = getattr(grp_by, groupby_func)(*args)
- assert result.shape == (1, 2)
- tm.assert_index_equal(result.columns, idx)
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