34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
import pandas as pd
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import pandas._testing as tm
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def test_relabel_no_duplicated_method():
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# this is to test there is no duplicated method used in agg
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df = pd.DataFrame({"A": [1, 2, 1, 2], "B": [1, 2, 3, 4]})
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result = df["A"].agg(foo="sum")
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expected = df["A"].agg({"foo": "sum"})
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tm.assert_series_equal(result, expected)
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result = df["B"].agg(foo="min", bar="max")
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expected = df["B"].agg({"foo": "min", "bar": "max"})
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tm.assert_series_equal(result, expected)
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result = df["B"].agg(foo=sum, bar=min, cat="max")
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expected = df["B"].agg({"foo": sum, "bar": min, "cat": "max"})
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tm.assert_series_equal(result, expected)
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def test_relabel_duplicated_method():
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# this is to test with nested renaming, duplicated method can be used
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# if they are assigned with different new names
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df = pd.DataFrame({"A": [1, 2, 1, 2], "B": [1, 2, 3, 4]})
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result = df["A"].agg(foo="sum", bar="sum")
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expected = pd.Series([6, 6], index=["foo", "bar"], name="A")
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tm.assert_series_equal(result, expected)
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result = df["B"].agg(foo=min, bar="min")
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expected = pd.Series([1, 1], index=["foo", "bar"], name="B")
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tm.assert_series_equal(result, expected)
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