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remove tests per comments
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pandas/tests/resample/test_resampler_grouper.py

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@@ -778,157 +778,3 @@ def test_groupby_resample_on_column_when_index_is_unusual(df):
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expected = DataFrame({"numbers": [100, 200]}, index=index)
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tm.assert_frame_equal(result, expected)
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def test_groupby_resample_then_groupby_is_reused_when_index_is_out_of_order():
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# GH 59350
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df = DataFrame(
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data={
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"datetime": [
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pd.to_datetime("2024-07-30T00:00Z"),
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pd.to_datetime("2024-07-30T00:01Z"),
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],
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"group": ["A", "A"],
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"numbers": [100, 200],
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},
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index=[1, 0],
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)
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gb = df.groupby("group")
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# use gb
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result_1 = gb[["numbers"]].transform("sum")
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index = Index([1, 0])
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expected = DataFrame({"numbers": [300, 300]}, index=index)
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tm.assert_frame_equal(result_1, expected)
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# resample gb, unrelated to above
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rs = gb.resample("1min", on="datetime")
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result_2 = rs.aggregate({"numbers": "sum"})
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index = pd.MultiIndex.from_arrays(
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[
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["A", "A"],
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[pd.to_datetime("2024-07-30T00:00Z"), pd.to_datetime("2024-07-30T00:01Z")],
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],
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names=[
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"group",
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"datetime",
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],
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)
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expected = DataFrame({"numbers": [100, 200]}, index=index)
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tm.assert_frame_equal(result_2, expected)
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# reuse gb, unrelated to above
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result_3 = gb[["numbers"]].transform("sum")
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tm.assert_frame_equal(result_1, result_3)
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def test_groupby_resample_then_groupby_is_reused_when_index_is_set_from_column():
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# GH 59350
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df = DataFrame(
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data={
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"datetime": [
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pd.to_datetime("2024-07-30T00:00Z"),
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pd.to_datetime("2024-07-30T00:01Z"),
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],
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"group": ["A", "A"],
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"numbers": [100, 200],
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},
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).set_index("group")
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gb = df.groupby("group")
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# use gb
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result_1 = gb[["numbers"]].transform("sum")
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index = Index(["A", "A"], name="group")
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expected = DataFrame({"numbers": [300, 300]}, index=index)
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tm.assert_frame_equal(result_1, expected)
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# resample gb, unrelated to above
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rs = gb.resample("1min", on="datetime")
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result_2 = rs.aggregate({"numbers": "sum"})
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index = pd.MultiIndex.from_arrays(
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[
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["A", "A"],
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[pd.to_datetime("2024-07-30T00:00Z"), pd.to_datetime("2024-07-30T00:01Z")],
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],
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names=[
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"group",
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"datetime",
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],
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)
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expected = DataFrame({"numbers": [100, 200]}, index=index)
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tm.assert_frame_equal(result_2, expected)
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# reuse gb, unrelated to above
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result_3 = gb[["numbers"]].transform("sum")
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tm.assert_frame_equal(result_1, result_3)
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def test_groupby_resample_then_groupby_is_reused_when_groupby_selection_is_not_none():
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# GH 59350
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df = DataFrame(
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data={
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"datetime": [
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pd.to_datetime("2024-07-30T00:00Z"),
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pd.to_datetime("2024-07-30T00:01Z"),
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],
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"group": ["A", "A"],
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"numbers": [100, 200],
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},
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index=[1, 0],
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)
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gb = df.groupby("group")
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gb = gb[["numbers", "datetime"]] # gb._selection is ["numbers", "datetime"]
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# use gb
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result_1 = gb.transform("max")
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index = Index([1, 0])
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expected = DataFrame(
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{
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"numbers": [200, 200],
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"datetime": [
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pd.to_datetime("2024-07-30T00:01Z"),
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pd.to_datetime("2024-07-30T00:01Z"),
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],
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},
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index=index,
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)
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tm.assert_frame_equal(result_1, expected)
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# resample gb, unrelated to above
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rs = gb.resample("1min", on="datetime")
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result_2 = rs.aggregate({"numbers": "sum"}) # Enter the `except IndexError:` block
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index = pd.MultiIndex.from_arrays(
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[
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["A", "A"],
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[pd.to_datetime("2024-07-30T00:00Z"), pd.to_datetime("2024-07-30T00:01Z")],
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],
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names=[
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"group",
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"datetime",
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],
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)
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columns = pd.MultiIndex.from_arrays([["numbers"], ["numbers"]])
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expected = DataFrame([[100], [200]], index=index, columns=columns)
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tm.assert_frame_equal(result_2, expected)
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# reuse gb, unrelated to above
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result_3 = gb.transform("max")
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tm.assert_frame_equal(result_1, result_3)

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