def test_type_object(): dc = DataExploratory(data) var = dc.type_object() assert(var == cat_columns)
def test_not_type_object(): dc = DataExploratory(data) var = dc.not_type_object() assert(var == num_columns)
def test_view_features_values(): dc = DataExploratory(data) columns = dc.view_features() assert(columns == data_columns)
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)
def test_isNull_NoNull_values(): dc = DataExploratory(data_no_null) dc.isNull()
def test_isNull_values(): dc = DataExploratory(data) dc.isNull()
def test_missing_values(): dc = DataExploratory(data) dc.missing_values()
def test_dtypes(): dc = DataExploratory(data) dc.dtypes()
def test_init_type_data(): with pytest.raises(TypeError): DataExploratory(np.array(data))