Example #1
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    def test_transform_drops_unnecessary_columns(self):
        ccn = preprocessing.CheckColumnNames()
        input_data = pd.DataFrame({
            "one": [1, 2],
            "two": [3, 4],
            "three": [5, 6]
        })
        test_data = pd.DataFrame({
            "one": [7, 8],
            "two": [9, 10],
            "three": [11, 12],
            "four": [13, 14]
        })
        expected_data = pd.DataFrame({
            "one": [7, 8],
            "two": [9, 10],
            "three": [11, 12]
        })
        #Ensure columns are in a particular order:
        input_data = input_data[["one", "two", "three"]]
        expected_data = expected_data[["one", "two", "three"]]

        ccn.fit(input_data)
        pd.util.testing.assert_frame_equal(ccn.transform(test_data),
                                           expected_data)
Example #2
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    def test_transform_data_has_wrong_columns(self):
        ccn = preprocessing.CheckColumnNames()
        input_data = pd.DataFrame({"one": [1, 2], "two": [3, 4]})
        ccn.fit(input_data)
        test_data = pd.DataFrame({"one": [1, 2], "three": [3, 4]})

        with pytest.raises(KeyError):
            ccn.transform(test_data)
Example #3
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 def test_transform_with_user_specified_colums(self):
     ccn = preprocessing.CheckColumnNames(column_names=["c", "b", "a"])
     input_data = pd.DataFrame({"e": [-2, -1, 0],
                                "a": [1, 2, 3],
                                "b": [4, 5, 6],
                                "c": [7, 8, 9],
                                "d": [10, 11, 12]})
     expected_data = pd.DataFrame({"c": [7, 8, 9],
                                   "b": [4, 5, 6],
                                   "a": [1, 2, 3]})
     expected_data = expected_data[["c", "b", "a"]]
     transformed_data = ccn.transform(input_data)
     pd.util.testing.assert_frame_equal(expected_data, transformed_data)
Example #4
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    def test_transform_reorders_columns(self):
        ccn = preprocessing.CheckColumnNames()
        input_data = pd.DataFrame({"one": [1, 2],
                                   "two": [3, 4],
                                   "three": [5, 6]})
        test_data = pd.DataFrame({"one": [7, 8],
                                   "two": [9, 10],
                                   "three": [11, 12]})
        expected_data = test_data.copy()
        #Ensure columns are in a particular order:
        input_data = input_data[["one", "two", "three"]]
        test_data = test_data[["two", "one", "three"]]
        expected_data = expected_data[["one", "two", "three"]]

        with pytest.raises(AssertionError):
            pd.util.testing.assert_frame_equal(test_data, expected_data)
        
        ccn.fit(input_data)
        pd.util.testing.assert_frame_equal(ccn.transform(test_data), expected_data)
Example #5
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    def test_transform_called_before_fit(self):
        ccn = preprocessing.CheckColumnNames()
        data = pd.DataFrame()

        with pytest.raises(NotFittedError):
            ccn.transform(data)