test_categorical.py 文件源码

python
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项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda 作者: SignalMedia 项目源码 文件源码
def test_pivot_table(self):

        raw_cat1 = Categorical(["a", "a", "b", "b"],
                               categories=["a", "b", "z"], ordered=True)
        raw_cat2 = Categorical(["c", "d", "c", "d"],
                               categories=["c", "d", "y"], ordered=True)
        df = DataFrame({"A": raw_cat1, "B": raw_cat2, "values": [1, 2, 3, 4]})
        result = pd.pivot_table(df, values='values', index=['A', 'B'])

        expected = Series([1, 2, np.nan, 3, 4, np.nan, np.nan, np.nan, np.nan],
                          index=pd.MultiIndex.from_product(
                              [['a', 'b', 'z'], ['c', 'd', 'y']],
                              names=['A', 'B']),
                          name='values')
        tm.assert_series_equal(result, expected)
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