How to use test_multiindex method in pandera

Best Python code snippet using pandera_python

test_from_pandas.py

Source: test_from_pandas.py Github

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...46 [2, 'b'],47 [3, 'c'],48 ]49 self.assertEqual(list(reader), expected)50 def test_multiindex(self):51 index_values = [('x', 'one'), ('x', 'two'), ('y', 'three')]52 index = pandas.MultiIndex.from_tuples(index_values, names=['A', 'B'])53 self.df.index = index54 reader = _from_pandas(self.df)55 expected = [56 ['A', 'B', 'col1', 'col2'],57 ['x', 'one', 1, 'a'],58 ['x', 'two', 2, 'b'],59 ['y', 'three', 3, 'c'],60 ]61 self.assertEqual(list(reader), expected)62 reader = _from_pandas(self.df, index=False)63 expected = [64 ['col1', 'col2'],65 [1, 'a'],66 [2, 'b'],67 [3, 'c'],68 ]69 self.assertEqual(list(reader), expected)70@unittest.skipIf(not pandas, 'pandas not found')71class TestSeries(unittest.TestCase):72 def test_automatic_indexing(self):73 s = pandas.Series(['a', 'b', 'c'], name='mycolumn')74 reader = _from_pandas(s) # <- Includes index by default.75 expected = [76 [None, 'mycolumn'],77 [0, 'a'],78 [1, 'b'],79 [2, 'c'],80 ]81 self.assertEqual(list(reader), expected)82 reader = _from_pandas(s, index=False) # <- Omits index.83 expected = [84 ['mycolumn'],85 ['a'],86 ['b'],87 ['c'],88 ]89 self.assertEqual(list(reader), expected)90 def test_simple_index(self):91 s = pandas.Series(92 data=['a', 'b', 'c'],93 index=pandas.Index(['x', 'y', 'z'], name='myindex'),94 name='mycolumn',95 )96 reader = _from_pandas(s)97 expected = [98 ['myindex', 'mycolumn'],99 ['x', 'a'],100 ['y', 'b'],101 ['z', 'c'],102 ]103 self.assertEqual(list(reader), expected)104 reader = _from_pandas(s, index=False)105 expected = [106 ['mycolumn'],107 ['a'],108 ['b'],109 ['c'],110 ]111 self.assertEqual(list(reader), expected)112 def test_multiindex(self):113 multiindex = [('x', 'one'), ('x', 'two'), ('y', 'three')]114 multiindex = pandas.MultiIndex.from_tuples(multiindex, names=['A', 'B'])115 s = pandas.Series(116 data=['a', 'b', 'c'],117 index=multiindex,118 name='mycolumn',119 )120 reader = _from_pandas(s)121 expected = [122 ['A', 'B', 'mycolumn'],123 ['x', 'one', 'a'],124 ['x', 'two', 'b'],125 ['y', 'three', 'c'],126 ]127 self.assertEqual(list(reader), expected)128 reader = _from_pandas(s, index=False)129 expected = [130 ['mycolumn'],131 ['a'],132 ['b'],133 ['c'],134 ]135 self.assertEqual(list(reader), expected)136@unittest.skipIf(not pandas, 'pandas not found')137class TestIndex(unittest.TestCase):138 def test_simple_index(self):139 index = pandas.Index(['x', 'y', 'z'], name='myindex')140 reader = _from_pandas(index)141 expected = [142 ['myindex'],143 ['x'],144 ['y'],145 ['z'],146 ]147 self.assertEqual(list(reader), expected)148 reader = _from_pandas(index, index=False)149 expected = [150 ['myindex'],151 ['x'],152 ['y'],153 ['z'],154 ]155 msg = 'The `index` arg should be ingored when obj is a pandas Index.'156 self.assertEqual(list(reader), expected, msg=msg)157 def test_multiindex(self):158 multiindex = [('x', 'one'), ('x', 'two'), ('y', 'three')]159 multiindex = pandas.MultiIndex.from_tuples(multiindex, names=['A', 'B'])160 reader = _from_pandas(multiindex)161 expected = [162 ['A', 'B'],163 ['x', 'one'],164 ['x', 'two'],165 ['y', 'three'],166 ]167 self.assertEqual(list(reader), expected)168 reader = _from_pandas(multiindex, index=False)169 expected = [170 ['A', 'B'],171 ['x', 'one'],...

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test_json_table_schema.pyi

Source: test_json_table_schema.pyi Github

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...15 def test_series(self) -> None:16 ...17 def test_series_unnamed(self) -> None:18 ...19 def test_multiindex(self) -> None:20 ...21class TestTableSchemaType:22 def test_as_json_table_type_int_data(self, int_type: Any) -> None:23 ...24 def test_as_json_table_type_float_data(self, float_type: Any) -> None:25 ...26 def test_as_json_table_type_bool_data(self, bool_type: Any) -> None:27 ...28 def test_as_json_table_type_date_data(self, date_data: Any) -> None:29 ...30 def test_as_json_table_type_string_data(self, str_data: Any) -> None:31 ...32 def test_as_json_table_type_categorical_data(self, cat_data: Any) -> None:33 ...34 def test_as_json_table_type_int_dtypes(self, int_dtype: Any) -> None:35 ...36 def test_as_json_table_type_float_dtypes(self, float_dtype: Any) -> None:37 ...38 def test_as_json_table_type_bool_dtypes(self, bool_dtype: Any) -> None:39 ...40 def test_as_json_table_type_date_dtypes(self, date_dtype: Any) -> None:41 ...42 def test_as_json_table_type_timedelta_dtypes(self, td_dtype: Any) -> None:43 ...44 def test_as_json_table_type_string_dtypes(self, str_dtype: Any) -> None:45 ...46 def test_as_json_table_type_categorical_dtypes(self) -> None:47 ...48class TestTableOrient:49 df: Any = ...50 def setup_method(self, method: Any) -> None:51 ...52 def test_build_series(self) -> None:53 ...54 def test_to_json(self) -> None:55 ...56 def test_to_json_float_index(self) -> None:57 ...58 def test_to_json_period_index(self) -> None:59 ...60 def test_to_json_categorical_index(self) -> None:61 ...62 def test_date_format_raises(self) -> None:63 ...64 def test_convert_pandas_type_to_json_field_int(self, kind: Any) -> None:65 ...66 def test_convert_pandas_type_to_json_field_float(self, kind: Any) -> None:67 ...68 def test_convert_pandas_type_to_json_field_datetime(self, dt_args: Any, extra_exp: Any, wrapper: Any) -> None:69 ...70 def test_convert_pandas_type_to_json_period_range(self) -> None:71 ...72 def test_convert_pandas_type_to_json_field_categorical(self, kind: Any, ordered: Any) -> None:73 ...74 def test_convert_json_field_to_pandas_type(self, inp: Any, exp: Any) -> None:75 ...76 def test_convert_json_field_to_pandas_type_raises(self, inp: Any) -> None:77 ...78 def test_categorical(self) -> None:79 ...80 def test_set_names_unset(self, idx: Any, nm: Any, prop: Any) -> None:81 ...82 def test_warns_non_roundtrippable_names(self, idx: Any) -> None:83 ...84 def test_timestamp_in_columns(self) -> None:85 ...86 def test_overlapping_names(self, case: Any) -> None:87 ...88 def test_mi_falsey_name(self) -> None:89 ...90class TestTableOrientReader:91 def test_read_json_table_orient(self, index_nm: Any, vals: Any, recwarn: Any) -> None:92 ...93 def test_read_json_table_orient_raises(self, index_nm: Any, vals: Any, recwarn: Any) -> None:94 ...95 def test_comprehensive(self) -> None:96 ...97 def test_multiindex(self, index_names: Any) -> None:98 ...99 def test_empty_frame_roundtrip(self) -> None:...

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test_compare.py

Source: test_compare.py Github

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...67 "Flavour ID": [1, 2, None, None, None, None],68 "Flavour Description": ["Fuzzy", "Bubbly", "Fuzzy", "Fuzzy", "Fuzzy", "Sugary"],69 })70 return df_1, df_271def test_multiindex():72 df_1, df_2 = sample_multiindex_dfs()73 diff = compare.diff_pd(df_1, df_2, ["ID", "Flavour ID"])74 run_assertion(diff)75def test_multiindex_excel():76 xlsx_1, xlsx_2 = sample_xlsx(*sample_multiindex_dfs())77 diff_io = io.BytesIO()78 compare.compare_excel(xlsx_1, xlsx_2, diff_io, "Sheet1", ["ID", "Flavour ID"])79 diff = pd.read_excel(diff_io, sheet_name=None)80 run_assertion(diff)81 82def test_no_diffs():83 df_1, _ = sample_multiindex_dfs()84 diff = compare.diff_pd(df_1, df_1, ["ID", "Flavour ID"])85 assert not diff86 print("OK.")87if __name__ == '__main__':88 test_multiindex()89 test_multiindex_excel()90 test_single_index()91 test_single_index_excel()92 test_parser()...

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