Python pandas.core.algorithms.mode() Examples

The following are 30 code examples of pandas.core.algorithms.mode(). 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.core.algorithms , or try the search function .
Example #1
Source File: test_algos.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_mode_single(self):
        # GH 15714
        exp_single = [1]
        data_single = [1]

        exp_multi = [1]
        data_multi = [1, 1]

        for dt in np.typecodes['AllInteger'] + np.typecodes['Float']:
            s = Series(data_single, dtype=dt)
            exp = Series(exp_single, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

            s = Series(data_multi, dtype=dt)
            exp = Series(exp_multi, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

        exp = Series([1], dtype=np.int)
        tm.assert_series_equal(algos.mode([1]), exp)

        exp = Series(['a', 'b', 'c'], dtype=np.object)
        tm.assert_series_equal(algos.mode(['a', 'b', 'c']), exp)
Example #2
Source File: test_algos.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_index(self):
        idx = Index([1, 2, 3])
        exp = Series([1, 2, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 'a', 'a'])
        exp = Series(['a'], dtype=object)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 1, 2, 3, 3])
        exp = Series([1, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        exp = Series(['2 min', '1 day'], dtype='timedelta64[ns]')
        idx = Index(['1 day', '1 day', '-1 day', '-1 day 2 min',
                     '2 min', '2 min'], dtype='timedelta64[ns]')
        tm.assert_series_equal(algos.mode(idx), exp)
Example #3
Source File: test_algos.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_mode_single(self):
        # GH 15714
        exp_single = [1]
        data_single = [1]

        exp_multi = [1]
        data_multi = [1, 1]

        for dt in np.typecodes['AllInteger'] + np.typecodes['Float']:
            s = Series(data_single, dtype=dt)
            exp = Series(exp_single, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

            s = Series(data_multi, dtype=dt)
            exp = Series(exp_multi, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

        exp = Series([1], dtype=np.int)
        tm.assert_series_equal(algos.mode([1]), exp)

        exp = Series(['a', 'b', 'c'], dtype=np.object)
        tm.assert_series_equal(algos.mode(['a', 'b', 'c']), exp)
Example #4
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_index(self):
        idx = Index([1, 2, 3])
        exp = Series([1, 2, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 'a', 'a'])
        exp = Series(['a'], dtype=object)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 1, 2, 3, 3])
        exp = Series([1, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        exp = Series(['2 min', '1 day'], dtype='timedelta64[ns]')
        idx = Index(['1 day', '1 day', '-1 day', '-1 day 2 min',
                     '2 min', '2 min'], dtype='timedelta64[ns]')
        tm.assert_series_equal(algos.mode(idx), exp)
Example #5
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_mode_single(self):
        # GH 15714
        exp_single = [1]
        data_single = [1]

        exp_multi = [1]
        data_multi = [1, 1]

        for dt in np.typecodes['AllInteger'] + np.typecodes['Float']:
            s = Series(data_single, dtype=dt)
            exp = Series(exp_single, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

            s = Series(data_multi, dtype=dt)
            exp = Series(exp_multi, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

        exp = Series([1], dtype=np.int)
        tm.assert_series_equal(algos.mode([1]), exp)

        exp = Series(['a', 'b', 'c'], dtype=np.object)
        tm.assert_series_equal(algos.mode(['a', 'b', 'c']), exp)
Example #6
Source File: series.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def mode(self, dropna=True):
        """
        Return the mode(s) of the dataset.

        Always returns Series even if only one value is returned.

        Parameters
        ----------
        dropna : boolean, default True
            Don't consider counts of NaN/NaT.

            .. versionadded:: 0.24.0

        Returns
        -------
        modes : Series (sorted)
        """
        # TODO: Add option for bins like value_counts()
        return algorithms.mode(self, dropna=dropna)
Example #7
Source File: test_algos.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_index(self):
        idx = Index([1, 2, 3])
        exp = Series([1, 2, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 'a', 'a'])
        exp = Series(['a'], dtype=object)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 1, 2, 3, 3])
        exp = Series([1, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        exp = Series(['2 min', '1 day'], dtype='timedelta64[ns]')
        idx = Index(['1 day', '1 day', '-1 day', '-1 day 2 min',
                     '2 min', '2 min'], dtype='timedelta64[ns]')
        tm.assert_series_equal(algos.mode(idx), exp)
Example #8
Source File: test_algos.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_mode_single(self):
        # GH 15714
        exp_single = [1]
        data_single = [1]

        exp_multi = [1]
        data_multi = [1, 1]

        for dt in np.typecodes['AllInteger'] + np.typecodes['Float']:
            s = Series(data_single, dtype=dt)
            exp = Series(exp_single, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

            s = Series(data_multi, dtype=dt)
            exp = Series(exp_multi, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

        exp = Series([1], dtype=np.int)
        tm.assert_series_equal(algos.mode([1]), exp)

        exp = Series(['a', 'b', 'c'], dtype=np.object)
        tm.assert_series_equal(algos.mode(['a', 'b', 'c']), exp)
Example #9
Source File: series.py    From Computable with MIT License 6 votes vote down vote up 
def mode(self):
        """Returns the mode(s) of the dataset.

        Empty if nothing occurs at least 2 times.  Always returns Series even
        if only one value.

        Parameters
        ----------
        sort : bool, default True
            If True, will lexicographically sort values, if False skips
            sorting. Result ordering when ``sort=False`` is not defined.

        Returns
        -------
        modes : Series (sorted)
        """
        # TODO: Add option for bins like value_counts()
        from pandas.core.algorithms import mode
        return mode(self)
Example #10
Source File: test_algos.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_index(self):
        idx = Index([1, 2, 3])
        exp = Series([1, 2, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 'a', 'a'])
        exp = Series(['a'], dtype=object)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 1, 2, 3, 3])
        exp = Series([1, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        exp = Series(['2 min', '1 day'], dtype='timedelta64[ns]')
        idx = Index(['1 day', '1 day', '-1 day', '-1 day 2 min',
                     '2 min', '2 min'], dtype='timedelta64[ns]')
        tm.assert_series_equal(algos.mode(idx), exp)
Example #11
Source File: test_algos.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_mode_single(self):
        # GH 15714
        exp_single = [1]
        data_single = [1]

        exp_multi = [1]
        data_multi = [1, 1]

        for dt in np.typecodes['AllInteger'] + np.typecodes['Float']:
            s = Series(data_single, dtype=dt)
            exp = Series(exp_single, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

            s = Series(data_multi, dtype=dt)
            exp = Series(exp_multi, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

        exp = Series([1], dtype=np.int)
        tm.assert_series_equal(algos.mode([1]), exp)

        exp = Series(['a', 'b', 'c'], dtype=np.object)
        tm.assert_series_equal(algos.mode(['a', 'b', 'c']), exp)
Example #12
Source File: series.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def mode(self, dropna=True):
        """
        Return the mode(s) of the dataset.

        Always returns Series even if only one value is returned.

        Parameters
        ----------
        dropna : boolean, default True
            Don't consider counts of NaN/NaT.

            .. versionadded:: 0.24.0

        Returns
        -------
        modes : Series (sorted)
        """
        # TODO: Add option for bins like value_counts()
        return algorithms.mode(self, dropna=dropna)
Example #13
Source File: test_algos.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_index(self):
        idx = Index([1, 2, 3])
        exp = Series([1, 2, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 'a', 'a'])
        exp = Series(['a'], dtype=object)
        tm.assert_series_equal(algos.mode(idx), exp)

        idx = Index([1, 1, 2, 3, 3])
        exp = Series([1, 3], dtype=np.int64)
        tm.assert_series_equal(algos.mode(idx), exp)

        exp = Series(['2 min', '1 day'], dtype='timedelta64[ns]')
        idx = Index(['1 day', '1 day', '-1 day', '-1 day 2 min',
                     '2 min', '2 min'], dtype='timedelta64[ns]')
        tm.assert_series_equal(algos.mode(idx), exp)
Example #14
Source File: test_algos.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_no_mode(self):
        exp = Series([], dtype=np.float64)
        tm.assert_series_equal(algos.mode([]), exp)
Example #15
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_no_mode(self):
        exp = Series([], dtype=np.float64)
        tm.assert_series_equal(algos.mode([]), exp)
Example #16
Source File: test_algos.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_datelike_mode(self):
        exp = Series(['1900-05-03', '2011-01-03',
                      '2013-01-02'], dtype="M8[ns]")
        s = Series(['2011-01-03', '2013-01-02',
                    '1900-05-03'], dtype='M8[ns]')
        tm.assert_series_equal(algos.mode(s), exp)

        exp = Series(['2011-01-03', '2013-01-02'], dtype='M8[ns]')
        s = Series(['2011-01-03', '2013-01-02', '1900-05-03',
                    '2011-01-03', '2013-01-02'], dtype='M8[ns]')
        tm.assert_series_equal(algos.mode(s), exp)
Example #17
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_number_mode(self):
        exp_single = [1]
        data_single = [1] * 5 + [2] * 3

        exp_multi = [1, 3]
        data_multi = [1] * 5 + [2] * 3 + [3] * 5

        for dt in np.typecodes['AllInteger'] + np.typecodes['Float']:
            s = Series(data_single, dtype=dt)
            exp = Series(exp_single, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

            s = Series(data_multi, dtype=dt)
            exp = Series(exp_multi, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)
Example #18
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_strobj_mode(self):
        exp = ['b']
        data = ['a'] * 2 + ['b'] * 3

        s = Series(data, dtype='c')
        exp = Series(exp, dtype='c')
        tm.assert_series_equal(algos.mode(s), exp)

        exp = ['bar']
        data = ['foo'] * 2 + ['bar'] * 3

        for dt in [str, object]:
            s = Series(data, dtype=dt)
            exp = Series(exp, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)
Example #19
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_datelike_mode(self):
        exp = Series(['1900-05-03', '2011-01-03',
                      '2013-01-02'], dtype="M8[ns]")
        s = Series(['2011-01-03', '2013-01-02',
                    '1900-05-03'], dtype='M8[ns]')
        tm.assert_series_equal(algos.mode(s), exp)

        exp = Series(['2011-01-03', '2013-01-02'], dtype='M8[ns]')
        s = Series(['2011-01-03', '2013-01-02', '1900-05-03',
                    '2011-01-03', '2013-01-02'], dtype='M8[ns]')
        tm.assert_series_equal(algos.mode(s), exp)
Example #20
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_mixed_dtype(self):
        exp = Series(['foo'])
        s = Series([1, 'foo', 'foo'])
        tm.assert_series_equal(algos.mode(s), exp)
Example #21
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_uint64_overflow(self):
        exp = Series([2**63], dtype=np.uint64)
        s = Series([1, 2**63, 2**63], dtype=np.uint64)
        tm.assert_series_equal(algos.mode(s), exp)

        exp = Series([1, 2**63], dtype=np.uint64)
        s = Series([1, 2**63], dtype=np.uint64)
        tm.assert_series_equal(algos.mode(s), exp)
Example #22
Source File: test_algos.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_categorical(self):
        c = Categorical([1, 2])
        exp = c
        tm.assert_categorical_equal(algos.mode(c), exp)
        tm.assert_categorical_equal(c.mode(), exp)

        c = Categorical([1, 'a', 'a'])
        exp = Categorical(['a'], categories=[1, 'a'])
        tm.assert_categorical_equal(algos.mode(c), exp)
        tm.assert_categorical_equal(c.mode(), exp)

        c = Categorical([1, 1, 2, 3, 3])
        exp = Categorical([1, 3], categories=[1, 2, 3])
        tm.assert_categorical_equal(algos.mode(c), exp)
        tm.assert_categorical_equal(c.mode(), exp)
Example #23
Source File: test_algos.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_strobj_mode(self):
        exp = ['b']
        data = ['a'] * 2 + ['b'] * 3

        s = Series(data, dtype='c')
        exp = Series(exp, dtype='c')
        tm.assert_series_equal(algos.mode(s), exp)

        exp = ['bar']
        data = ['foo'] * 2 + ['bar'] * 3

        for dt in [str, object]:
            s = Series(data, dtype=dt)
            exp = Series(exp, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)
Example #24
Source File: series.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def mode(self):
        """Return the mode(s) of the dataset.

        Always returns Series even if only one value is returned.

        Returns
        -------
        modes : Series (sorted)
        """
        # TODO: Add option for bins like value_counts()
        return algorithms.mode(self)
Example #25
Source File: series.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def mode(self):
        """Return the mode(s) of the dataset.

        Always returns Series even if only one value is returned.

        Returns
        -------
        modes : Series (sorted)
        """
        # TODO: Add option for bins like value_counts()
        return algorithms.mode(self)
Example #26
Source File: test_algos.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_number_mode(self):
        exp_single = [1]
        data_single = [1] * 5 + [2] * 3

        exp_multi = [1, 3]
        data_multi = [1] * 5 + [2] * 3 + [3] * 5

        for dt in np.typecodes['AllInteger'] + np.typecodes['Float']:
            s = Series(data_single, dtype=dt)
            exp = Series(exp_single, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

            s = Series(data_multi, dtype=dt)
            exp = Series(exp_multi, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)
Example #27
Source File: test_algos.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_number_mode(self):
        exp_single = [1]
        data_single = [1] * 5 + [2] * 3

        exp_multi = [1, 3]
        data_multi = [1] * 5 + [2] * 3 + [3] * 5

        for dt in np.typecodes['AllInteger'] + np.typecodes['Float']:
            s = Series(data_single, dtype=dt)
            exp = Series(exp_single, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)

            s = Series(data_multi, dtype=dt)
            exp = Series(exp_multi, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)
Example #28
Source File: test_algos.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_strobj_mode(self):
        exp = ['b']
        data = ['a'] * 2 + ['b'] * 3

        s = Series(data, dtype='c')
        exp = Series(exp, dtype='c')
        tm.assert_series_equal(algos.mode(s), exp)

        exp = ['bar']
        data = ['foo'] * 2 + ['bar'] * 3

        for dt in [str, object]:
            s = Series(data, dtype=dt)
            exp = Series(exp, dtype=dt)
            tm.assert_series_equal(algos.mode(s), exp)
Example #29
Source File: test_algos.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_datelike_mode(self):
        exp = Series(['1900-05-03', '2011-01-03',
                      '2013-01-02'], dtype="M8[ns]")
        s = Series(['2011-01-03', '2013-01-02',
                    '1900-05-03'], dtype='M8[ns]')
        tm.assert_series_equal(algos.mode(s), exp)

        exp = Series(['2011-01-03', '2013-01-02'], dtype='M8[ns]')
        s = Series(['2011-01-03', '2013-01-02', '1900-05-03',
                    '2011-01-03', '2013-01-02'], dtype='M8[ns]')
        tm.assert_series_equal(algos.mode(s), exp)
Example #30
Source File: test_algos.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_mixed_dtype(self):
        exp = Series(['foo'])
        s = Series([1, 'foo', 'foo'])
        tm.assert_series_equal(algos.mode(s), exp)