Beispiel #1
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def test_type_object():
    dc = DataExploratory(data)
    var = dc.type_object()
    assert(var == cat_columns)
Beispiel #2
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def test_not_type_object():
    dc = DataExploratory(data)
    var = dc.not_type_object()
    assert(var == num_columns)
Beispiel #3
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def test_view_features_values():
    dc = DataExploratory(data)
    columns = dc.view_features()
    assert(columns == data_columns)
Beispiel #4
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def test_categorical_vs_numerical_values():
    dc = DataExploratory(data)
    categorical_list, numerical_list = dc.categorical_vs_numerical()
    assert(categorical_list == cat_columns)
    assert(numerical_list == num_columns)
Beispiel #5
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def test_isNull_NoNull_values():
    dc = DataExploratory(data_no_null)
    dc.isNull()
Beispiel #6
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def test_isNull_values():
    dc = DataExploratory(data)
    dc.isNull()
Beispiel #7
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def test_missing_values():
    dc = DataExploratory(data)
    dc.missing_values()
Beispiel #8
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def test_dtypes():
    dc = DataExploratory(data)
    dc.dtypes()
Beispiel #9
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def test_init_type_data():
    with pytest.raises(TypeError):
        DataExploratory(np.array(data))