Python pandas.util.testing.rands_array() Examples

The following are 30 code examples of pandas.util.testing.rands_array(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas.util.testing , or try the search function .
Example #1
Source File: test_format.py    From recruit with Apache License 2.0 7 votes vote down vote up 
def test_wide_repr(self):
        with option_context('mode.sim_interactive', True,
                            'display.show_dimensions', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)

            assert "10 rows x {c} columns".format(c=max_cols - 1) in rep_str
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 120):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #2
Source File: test_format.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_wide_repr_multiindex_cols(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            midx = MultiIndex.from_arrays(tm.rands_array(5, size=(2, 10)))
            mcols = MultiIndex.from_arrays(
                tm.rands_array(3, size=(2, max_cols - 1)))
            df = DataFrame(tm.rands_array(25, (10, max_cols - 1)),
                           index=midx, columns=mcols)
            df.index.names = ['Level 0', 'Level 1']
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

        with option_context('display.width', 150, 'display.max_columns', 20):
            wider_repr = repr(df)
            assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #3
Source File: test_format.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_wide_repr_named(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            df.index.name = 'DataFrame Index'
            set_option('display.expand_frame_repr', False)

            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

            for line in wide_repr.splitlines()[1::13]:
                assert 'DataFrame Index' in line

        reset_option('display.expand_frame_repr')
Example #4
Source File: test_format.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_wide_repr(self):
        with option_context('mode.sim_interactive', True,
                            'display.show_dimensions', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)

            assert "10 rows x {c} columns".format(c=max_cols - 1) in rep_str
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 120):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #5
Source File: test_rank.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_rank_apply():
    lev1 = tm.rands_array(10, 100)
    lev2 = tm.rands_array(10, 130)
    lab1 = np.random.randint(0, 100, size=500)
    lab2 = np.random.randint(0, 130, size=500)

    df = DataFrame({'value': np.random.randn(500),
                    'key1': lev1.take(lab1),
                    'key2': lev2.take(lab2)})

    result = df.groupby(['key1', 'key2']).value.rank()

    expected = [piece.value.rank()
                for key, piece in df.groupby(['key1', 'key2'])]
    expected = concat(expected, axis=0)
    expected = expected.reindex(result.index)
    tm.assert_series_equal(result, expected)

    result = df.groupby(['key1', 'key2']).value.rank(pct=True)

    expected = [piece.value.rank(pct=True)
                for key, piece in df.groupby(['key1', 'key2'])]
    expected = concat(expected, axis=0)
    expected = expected.reindex(result.index)
    tm.assert_series_equal(result, expected)
Example #6
Source File: test_format.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_wide_repr_multiindex_cols(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            midx = MultiIndex.from_arrays(tm.rands_array(5, size=(2, 10)))
            mcols = MultiIndex.from_arrays(
                tm.rands_array(3, size=(2, max_cols - 1)))
            df = DataFrame(tm.rands_array(25, (10, max_cols - 1)),
                           index=midx, columns=mcols)
            df.index.names = ['Level 0', 'Level 1']
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

        with option_context('display.width', 150, 'display.max_columns', 20):
            wider_repr = repr(df)
            assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #7
Source File: test_format.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_repr_html_wide_multiindex_cols(self):
        max_cols = 20

        mcols = MultiIndex.from_product([np.arange(max_cols // 2),
                                         ['foo', 'bar']],
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        reg_repr = df._repr_html_()
        assert '...' not in reg_repr

        mcols = MultiIndex.from_product((np.arange(1 + (max_cols // 2)),
                                         ['foo', 'bar']),
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        with option_context('display.max_rows', 60, 'display.max_columns', 20):
            assert '...' in df._repr_html_()
Example #8
Source File: test_numeric.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_series_frame_radd_bug(self):
        # GH#353
        vals = pd.Series(tm.rands_array(5, 10))
        result = 'foo_' + vals
        expected = vals.map(lambda x: 'foo_' + x)
        tm.assert_series_equal(result, expected)

        frame = pd.DataFrame({'vals': vals})
        result = 'foo_' + frame
        expected = pd.DataFrame({'vals': vals.map(lambda x: 'foo_' + x)})
        tm.assert_frame_equal(result, expected)

        ts = tm.makeTimeSeries()
        ts.name = 'ts'

        # really raise this time
        now = pd.Timestamp.now().to_pydatetime()
        with pytest.raises(TypeError):
            now + ts

        with pytest.raises(TypeError):
            ts + now

    # TODO: This came from series.test.test_operators, needs cleanup
Example #9
Source File: test_operators.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_series_frame_radd_bug(self):
        # GH#353
        vals = Series(tm.rands_array(5, 10))
        result = 'foo_' + vals
        expected = vals.map(lambda x: 'foo_' + x)
        assert_series_equal(result, expected)

        frame = DataFrame({'vals': vals})
        result = 'foo_' + frame
        expected = DataFrame({'vals': vals.map(lambda x: 'foo_' + x)})
        assert_frame_equal(result, expected)

        ts = tm.makeTimeSeries()
        ts.name = 'ts'

        # really raise this time
        with pytest.raises(TypeError):
            datetime.now() + ts

        with pytest.raises(TypeError):
            ts + datetime.now()
Example #10
Source File: test_format.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_wide_repr_named(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            df.index.name = 'DataFrame Index'
            set_option('display.expand_frame_repr', False)

            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

            for line in wide_repr.splitlines()[1::13]:
                assert 'DataFrame Index' in line

        reset_option('display.expand_frame_repr')
Example #11
Source File: test_format.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_wide_repr_multiindex(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            midx = MultiIndex.from_arrays(tm.rands_array(5, size=(2, 10)))
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)),
                           index=midx)
            df.index.names = ['Level 0', 'Level 1']
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

            for line in wide_repr.splitlines()[1::13]:
                assert 'Level 0 Level 1' in line

        reset_option('display.expand_frame_repr')
Example #12
Source File: test_format.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_wide_repr_unicode(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = 20
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #13
Source File: test_format.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_repr_html_wide_multiindex_cols(self):
        max_cols = 20

        mcols = MultiIndex.from_product([np.arange(max_cols // 2),
                                         ['foo', 'bar']],
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        reg_repr = df._repr_html_()
        assert '...' not in reg_repr

        mcols = MultiIndex.from_product((np.arange(1 + (max_cols // 2)),
                                         ['foo', 'bar']),
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        with option_context('display.max_rows', 60, 'display.max_columns', 20):
            assert '...' in df._repr_html_()
Example #14
Source File: test_rank.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_rank_apply():
    lev1 = tm.rands_array(10, 100)
    lev2 = tm.rands_array(10, 130)
    lab1 = np.random.randint(0, 100, size=500)
    lab2 = np.random.randint(0, 130, size=500)

    df = DataFrame({'value': np.random.randn(500),
                    'key1': lev1.take(lab1),
                    'key2': lev2.take(lab2)})

    result = df.groupby(['key1', 'key2']).value.rank()

    expected = [piece.value.rank()
                for key, piece in df.groupby(['key1', 'key2'])]
    expected = concat(expected, axis=0)
    expected = expected.reindex(result.index)
    tm.assert_series_equal(result, expected)

    result = df.groupby(['key1', 'key2']).value.rank(pct=True)

    expected = [piece.value.rank(pct=True)
                for key, piece in df.groupby(['key1', 'key2'])]
    expected = concat(expected, axis=0)
    expected = expected.reindex(result.index)
    tm.assert_series_equal(result, expected)
Example #15
Source File: test_format.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_wide_repr(self):
        with option_context('mode.sim_interactive', True,
                            'display.show_dimensions', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)

            assert "10 rows x {c} columns".format(c=max_cols - 1) in rep_str
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 120):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #16
Source File: test_format.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_wide_repr_named(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            df.index.name = 'DataFrame Index'
            set_option('display.expand_frame_repr', False)

            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

            for line in wide_repr.splitlines()[1::13]:
                assert 'DataFrame Index' in line

        reset_option('display.expand_frame_repr')
Example #17
Source File: test_numeric.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_series_frame_radd_bug(self):
        # GH#353
        vals = pd.Series(tm.rands_array(5, 10))
        result = 'foo_' + vals
        expected = vals.map(lambda x: 'foo_' + x)
        tm.assert_series_equal(result, expected)

        frame = pd.DataFrame({'vals': vals})
        result = 'foo_' + frame
        expected = pd.DataFrame({'vals': vals.map(lambda x: 'foo_' + x)})
        tm.assert_frame_equal(result, expected)

        ts = tm.makeTimeSeries()
        ts.name = 'ts'

        # really raise this time
        now = pd.Timestamp.now().to_pydatetime()
        with pytest.raises(TypeError):
            now + ts

        with pytest.raises(TypeError):
            ts + now

    # TODO: This came from series.test.test_operators, needs cleanup
Example #18
Source File: test_format.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_wide_repr_unicode(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = 20
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #19
Source File: test_format.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_repr_html_wide_multiindex_cols(self):
        max_cols = 20

        mcols = MultiIndex.from_product([np.arange(max_cols // 2),
                                         ['foo', 'bar']],
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        reg_repr = df._repr_html_()
        assert '...' not in reg_repr

        mcols = MultiIndex.from_product((np.arange(1 + (max_cols // 2)),
                                         ['foo', 'bar']),
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        with option_context('display.max_rows', 60, 'display.max_columns', 20):
            assert '...' in df._repr_html_()
Example #20
Source File: test_operators.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_series_frame_radd_bug(self):
        # GH 353
        vals = Series(tm.rands_array(5, 10))
        result = 'foo_' + vals
        expected = vals.map(lambda x: 'foo_' + x)
        assert_series_equal(result, expected)

        frame = DataFrame({'vals': vals})
        result = 'foo_' + frame
        expected = DataFrame({'vals': vals.map(lambda x: 'foo_' + x)})
        assert_frame_equal(result, expected)

        # really raise this time
        with pytest.raises(TypeError):
            datetime.now() + self.ts

        with pytest.raises(TypeError):
            self.ts + datetime.now()
Example #21
Source File: test_format.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_wide_repr(self):
        with option_context('mode.sim_interactive', True,
                            'display.show_dimensions', True):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)

            assert "10 rows x %d columns" % (max_cols - 1) in rep_str
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 120):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #22
Source File: test_format.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_wide_repr_named(self):
        with option_context('mode.sim_interactive', True):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            df.index.name = 'DataFrame Index'
            set_option('display.expand_frame_repr', False)

            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

            for line in wide_repr.splitlines()[1::13]:
                assert 'DataFrame Index' in line

        reset_option('display.expand_frame_repr')
Example #23
Source File: test_format.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_wide_repr_multiindex(self):
        with option_context('mode.sim_interactive', True):
            midx = MultiIndex.from_arrays(tm.rands_array(5, size=(2, 10)))
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)),
                           index=midx)
            df.index.names = ['Level 0', 'Level 1']
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

            for line in wide_repr.splitlines()[1::13]:
                assert 'Level 0 Level 1' in line

        reset_option('display.expand_frame_repr')
Example #24
Source File: test_format.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_repr_html_wide_multiindex_cols(self):
        max_cols = get_option('display.max_columns')

        mcols = MultiIndex.from_product([np.arange(max_cols // 2),
                                         ['foo', 'bar']],
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        reg_repr = df._repr_html_()
        assert '...' not in reg_repr

        mcols = MultiIndex.from_product((np.arange(1 + (max_cols // 2)),
                                         ['foo', 'bar']),
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        wide_repr = df._repr_html_()
        assert '...' in wide_repr
Example #25
Source File: test_operators.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_series_frame_radd_bug(self):
        # GH#353
        vals = Series(tm.rands_array(5, 10))
        result = 'foo_' + vals
        expected = vals.map(lambda x: 'foo_' + x)
        assert_series_equal(result, expected)

        frame = DataFrame({'vals': vals})
        result = 'foo_' + frame
        expected = DataFrame({'vals': vals.map(lambda x: 'foo_' + x)})
        assert_frame_equal(result, expected)

        ts = tm.makeTimeSeries()
        ts.name = 'ts'

        # really raise this time
        with pytest.raises(TypeError):
            datetime.now() + ts

        with pytest.raises(TypeError):
            ts + datetime.now()
Example #26
Source File: test_format.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_wide_repr(self):
        with option_context('mode.sim_interactive', True,
                            'display.show_dimensions', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)

            assert "10 rows x {c} columns".format(c=max_cols - 1) in rep_str
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 120):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #27
Source File: test_format.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_wide_repr_named(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            df.index.name = 'DataFrame Index'
            set_option('display.expand_frame_repr', False)

            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

            for line in wide_repr.splitlines()[1::13]:
                assert 'DataFrame Index' in line

        reset_option('display.expand_frame_repr')
Example #28
Source File: test_format.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_wide_repr_multiindex(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            midx = MultiIndex.from_arrays(tm.rands_array(5, size=(2, 10)))
            max_cols = get_option('display.max_columns')
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)),
                           index=midx)
            df.index.names = ['Level 0', 'Level 1']
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

            for line in wide_repr.splitlines()[1::13]:
                assert 'Level 0 Level 1' in line

        reset_option('display.expand_frame_repr')
Example #29
Source File: test_format.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_wide_repr_unicode(self):
        with option_context('mode.sim_interactive', True,
                            'display.max_columns', 20):
            max_cols = 20
            df = DataFrame(tm.rands_array(25, size=(10, max_cols - 1)))
            set_option('display.expand_frame_repr', False)
            rep_str = repr(df)
            set_option('display.expand_frame_repr', True)
            wide_repr = repr(df)
            assert rep_str != wide_repr

            with option_context('display.width', 150):
                wider_repr = repr(df)
                assert len(wider_repr) < len(wide_repr)

        reset_option('display.expand_frame_repr')
Example #30
Source File: test_format.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_repr_html_wide_multiindex_cols(self):
        max_cols = 20

        mcols = MultiIndex.from_product([np.arange(max_cols // 2),
                                         ['foo', 'bar']],
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        reg_repr = df._repr_html_()
        assert '...' not in reg_repr

        mcols = MultiIndex.from_product((np.arange(1 + (max_cols // 2)),
                                         ['foo', 'bar']),
                                        names=['first', 'second'])
        df = DataFrame(tm.rands_array(25, size=(10, len(mcols))),
                       columns=mcols)
        with option_context('display.max_rows', 60, 'display.max_columns', 20):
            assert '...' in df._repr_html_()