Python pandas.core.nanops.nanall() Examples

The following are 14 code examples of pandas.core.nanops.nanall(). 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.nanops , or try the search function .
Example #1
Source File: test_panel.py    From recruit with Apache License 2.0 5 votes vote down vote up
def test_all_any(self):
        assert (self.panel.all(axis=0).values == nanall(
            self.panel, axis=0)).all()
        assert (self.panel.all(axis=1).values == nanall(
            self.panel, axis=1).T).all()
        assert (self.panel.all(axis=2).values == nanall(
            self.panel, axis=2).T).all()
        assert (self.panel.any(axis=0).values == nanany(
            self.panel, axis=0)).all()
        assert (self.panel.any(axis=1).values == nanany(
            self.panel, axis=1).T).all()
        assert (self.panel.any(axis=2).values == nanany(
            self.panel, axis=2).T).all() 
Example #2
Source File: test_nanops.py    From recruit with Apache License 2.0 5 votes vote down vote up
def test_nanall(self):
        self.check_funs(nanops.nanall, np.all, allow_all_nan=False,
                        allow_str=False, allow_date=False, allow_tdelta=False) 
Example #3
Source File: numpy_.py    From recruit with Apache License 2.0 5 votes vote down vote up
def all(self, axis=None, out=None, keepdims=False, skipna=True):
        nv.validate_all((), dict(out=out, keepdims=keepdims))
        return nanops.nanall(self._ndarray, axis=axis, skipna=skipna) 
Example #4
Source File: test_panel.py    From vnpy_crypto with MIT License 5 votes vote down vote up
def test_all_any(self):
        assert (self.panel.all(axis=0).values == nanall(
            self.panel, axis=0)).all()
        assert (self.panel.all(axis=1).values == nanall(
            self.panel, axis=1).T).all()
        assert (self.panel.all(axis=2).values == nanall(
            self.panel, axis=2).T).all()
        assert (self.panel.any(axis=0).values == nanany(
            self.panel, axis=0)).all()
        assert (self.panel.any(axis=1).values == nanany(
            self.panel, axis=1).T).all()
        assert (self.panel.any(axis=2).values == nanany(
            self.panel, axis=2).T).all() 
Example #5
Source File: test_nanops.py    From vnpy_crypto with MIT License 5 votes vote down vote up
def test_nanall(self):
        self.check_funs(nanops.nanall, np.all, allow_all_nan=False,
                        allow_str=False, allow_date=False, allow_tdelta=False) 
Example #6
Source File: frame.py    From Computable with MIT License 5 votes vote down vote up
def all(self, axis=None, bool_only=None, skipna=True, level=None,
            **kwargs):
        """
        Return whether all elements are True over requested axis.
        %(na_action)s

        Parameters
        ----------
        axis : {0, 1}
            0 for row-wise, 1 for column-wise
        skipna : boolean, default True
            Exclude NA/null values. If an entire row/column is NA, the result
            will be NA
        level : int, default None
            If the axis is a MultiIndex (hierarchical), count along a
            particular level, collapsing into a DataFrame
        bool_only : boolean, default None
            Only include boolean data.

        Returns
        -------
        any : Series (or DataFrame if level specified)
        """
        if axis is None:
            axis = self._stat_axis_number
        if level is not None:
            return self._agg_by_level('all', axis=axis, level=level,
                                      skipna=skipna)
        return self._reduce(nanops.nanall, axis=axis, skipna=skipna,
                            numeric_only=bool_only, filter_type='bool') 
Example #7
Source File: test_panel.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up
def test_all_any(self):
        assert (self.panel.all(axis=0).values == nanall(
            self.panel, axis=0)).all()
        assert (self.panel.all(axis=1).values == nanall(
            self.panel, axis=1).T).all()
        assert (self.panel.all(axis=2).values == nanall(
            self.panel, axis=2).T).all()
        assert (self.panel.any(axis=0).values == nanany(
            self.panel, axis=0)).all()
        assert (self.panel.any(axis=1).values == nanany(
            self.panel, axis=1).T).all()
        assert (self.panel.any(axis=2).values == nanany(
            self.panel, axis=2).T).all() 
Example #8
Source File: test_nanops.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up
def test_nanall(self):
        self.check_funs(nanops.nanall, np.all, allow_all_nan=False,
                        allow_str=False, allow_date=False, allow_tdelta=False) 
Example #9
Source File: numpy_.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up
def all(self, axis=None, out=None, keepdims=False, skipna=True):
        nv.validate_all((), dict(out=out, keepdims=keepdims))
        return nanops.nanall(self._ndarray, axis=axis, skipna=skipna) 
Example #10
Source File: test_panel.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up
def test_all_any(self):
        assert (self.panel.all(axis=0).values == nanall(
            self.panel, axis=0)).all()
        assert (self.panel.all(axis=1).values == nanall(
            self.panel, axis=1).T).all()
        assert (self.panel.all(axis=2).values == nanall(
            self.panel, axis=2).T).all()
        assert (self.panel.any(axis=0).values == nanany(
            self.panel, axis=0)).all()
        assert (self.panel.any(axis=1).values == nanany(
            self.panel, axis=1).T).all()
        assert (self.panel.any(axis=2).values == nanany(
            self.panel, axis=2).T).all() 
Example #11
Source File: test_nanops.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up
def test_nanall(self):
        self.check_funs(nanops.nanall, np.all, allow_all_nan=False,
                        allow_str=False, allow_date=False, allow_tdelta=False) 
Example #12
Source File: test_panel.py    From coffeegrindsize with MIT License 5 votes vote down vote up
def test_all_any(self):
        assert (self.panel.all(axis=0).values == nanall(
            self.panel, axis=0)).all()
        assert (self.panel.all(axis=1).values == nanall(
            self.panel, axis=1).T).all()
        assert (self.panel.all(axis=2).values == nanall(
            self.panel, axis=2).T).all()
        assert (self.panel.any(axis=0).values == nanany(
            self.panel, axis=0)).all()
        assert (self.panel.any(axis=1).values == nanany(
            self.panel, axis=1).T).all()
        assert (self.panel.any(axis=2).values == nanany(
            self.panel, axis=2).T).all() 
Example #13
Source File: test_panel.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up
def test_all_any(self):
        assert (self.panel.all(axis=0).values == nanall(
            self.panel, axis=0)).all()
        assert (self.panel.all(axis=1).values == nanall(
            self.panel, axis=1).T).all()
        assert (self.panel.all(axis=2).values == nanall(
            self.panel, axis=2).T).all()
        assert (self.panel.any(axis=0).values == nanany(
            self.panel, axis=0)).all()
        assert (self.panel.any(axis=1).values == nanany(
            self.panel, axis=1).T).all()
        assert (self.panel.any(axis=2).values == nanany(
            self.panel, axis=2).T).all() 
Example #14
Source File: test_nanops.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up
def test_nanall(self):
        self.check_funs(nanops.nanall, np.all, allow_all_nan=False,
                        allow_str=False, allow_date=False, allow_tdelta=False)