Python pandas.util.testing._make_skipna_wrapper() Examples

The following are 5 code examples of pandas.util.testing._make_skipna_wrapper(). 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_panel.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def _check_stat_op(self, name, alternative, obj=None, has_skipna=True,
                       skipna_alternative=None):
        if obj is None:
            obj = self.panel

            # # set some NAs
            # obj.loc[5:10] = np.nan
            # obj.loc[15:20, -2:] = np.nan

        f = getattr(obj, name)

        if has_skipna:

            skipna_wrapper = tm._make_skipna_wrapper(alternative,
                                                     skipna_alternative)

            def wrapper(x):
                return alternative(np.asarray(x))

            for i in range(obj.ndim):
                result = f(axis=i, skipna=False)
                assert_frame_equal(result, obj.apply(wrapper, axis=i))
        else:
            skipna_wrapper = alternative
            wrapper = alternative

        for i in range(obj.ndim):
            result = f(axis=i)
            if name in ['sum', 'prod']:
                assert_frame_equal(result, obj.apply(skipna_wrapper, axis=i))

        pytest.raises(Exception, f, axis=obj.ndim)

        # Unimplemented numeric_only parameter.
        if 'numeric_only' in signature(f).args:
            with pytest.raises(NotImplementedError, match=name):
                f(numeric_only=True)
Example #2
Source File: test_panel.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def _check_stat_op(self, name, alternative, obj=None, has_skipna=True,
                       skipna_alternative=None):
        if obj is None:
            obj = self.panel

            # # set some NAs
            # obj.loc[5:10] = np.nan
            # obj.loc[15:20, -2:] = np.nan

        f = getattr(obj, name)

        if has_skipna:

            skipna_wrapper = tm._make_skipna_wrapper(alternative,
                                                     skipna_alternative)

            def wrapper(x):
                return alternative(np.asarray(x))

            for i in range(obj.ndim):
                result = f(axis=i, skipna=False)
                assert_frame_equal(result, obj.apply(wrapper, axis=i))
        else:
            skipna_wrapper = alternative
            wrapper = alternative

        for i in range(obj.ndim):
            result = f(axis=i)
            if name in ['sum', 'prod']:
                assert_frame_equal(result, obj.apply(skipna_wrapper, axis=i))

        pytest.raises(Exception, f, axis=obj.ndim)

        # Unimplemented numeric_only parameter.
        if 'numeric_only' in signature(f).args:
            tm.assert_raises_regex(NotImplementedError, name, f,
                                   numeric_only=True)
Example #3
Source File: test_panel.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def _check_stat_op(self, name, alternative, obj=None, has_skipna=True,
                       skipna_alternative=None):
        if obj is None:
            obj = self.panel

            # # set some NAs
            # obj.loc[5:10] = np.nan
            # obj.loc[15:20, -2:] = np.nan

        f = getattr(obj, name)

        if has_skipna:

            skipna_wrapper = tm._make_skipna_wrapper(alternative,
                                                     skipna_alternative)

            def wrapper(x):
                return alternative(np.asarray(x))

            for i in range(obj.ndim):
                result = f(axis=i, skipna=False)
                assert_frame_equal(result, obj.apply(wrapper, axis=i))
        else:
            skipna_wrapper = alternative
            wrapper = alternative

        for i in range(obj.ndim):
            result = f(axis=i)
            if name in ['sum', 'prod']:
                assert_frame_equal(result, obj.apply(skipna_wrapper, axis=i))

        pytest.raises(Exception, f, axis=obj.ndim)

        # Unimplemented numeric_only parameter.
        if 'numeric_only' in signature(f).args:
            with pytest.raises(NotImplementedError, match=name):
                f(numeric_only=True)
Example #4
Source File: test_panel.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def _check_stat_op(self, name, alternative, obj=None, has_skipna=True,
                       skipna_alternative=None):
        if obj is None:
            obj = self.panel

            # # set some NAs
            # obj.loc[5:10] = np.nan
            # obj.loc[15:20, -2:] = np.nan

        f = getattr(obj, name)

        if has_skipna:

            skipna_wrapper = tm._make_skipna_wrapper(alternative,
                                                     skipna_alternative)

            def wrapper(x):
                return alternative(np.asarray(x))

            for i in range(obj.ndim):
                result = f(axis=i, skipna=False)
                assert_frame_equal(result, obj.apply(wrapper, axis=i))
        else:
            skipna_wrapper = alternative
            wrapper = alternative

        for i in range(obj.ndim):
            result = f(axis=i)
            if name in ['sum', 'prod']:
                assert_frame_equal(result, obj.apply(skipna_wrapper, axis=i))

        pytest.raises(Exception, f, axis=obj.ndim)

        # Unimplemented numeric_only parameter.
        if 'numeric_only' in signature(f).args:
            with pytest.raises(NotImplementedError, match=name):
                f(numeric_only=True)
Example #5
Source File: test_panel.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def _check_stat_op(self, name, alternative, obj=None, has_skipna=True,
                       skipna_alternative=None):
        if obj is None:
            obj = self.panel

            # # set some NAs
            # obj.loc[5:10] = np.nan
            # obj.loc[15:20, -2:] = np.nan

        f = getattr(obj, name)

        if has_skipna:

            skipna_wrapper = tm._make_skipna_wrapper(alternative,
                                                     skipna_alternative)

            def wrapper(x):
                return alternative(np.asarray(x))

            for i in range(obj.ndim):
                result = f(axis=i, skipna=False)
                assert_frame_equal(result, obj.apply(wrapper, axis=i))
        else:
            skipna_wrapper = alternative
            wrapper = alternative

        for i in range(obj.ndim):
            result = f(axis=i)
            if name in ['sum', 'prod']:
                assert_frame_equal(result, obj.apply(skipna_wrapper, axis=i))

        pytest.raises(Exception, f, axis=obj.ndim)

        # Unimplemented numeric_only parameter.
        if 'numeric_only' in signature(f).args:
            tm.assert_raises_regex(NotImplementedError, name, f,
                                   numeric_only=True)