Python pandas.core.nanops.nanmean() Examples

The following are 11 code examples of pandas.core.nanops.nanmean(). 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_nanops.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_nanmean(self, tz):
        dti = pd.date_range('2016-01-01', periods=3, tz=tz)
        expected = dti[1]

        for obj in [dti, DatetimeArray(dti), Series(dti)]:
            result = nanops.nanmean(obj)
            assert result == expected

        dti2 = dti.insert(1, pd.NaT)

        for obj in [dti2, DatetimeArray(dti2), Series(dti2)]:
            result = nanops.nanmean(obj)
            assert result == expected
Example #2
Source File: numpy_.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def mean(self, axis=None, dtype=None, out=None, keepdims=False,
             skipna=True):
        nv.validate_mean((), dict(dtype=dtype, out=out, keepdims=keepdims))
        return nanops.nanmean(self._ndarray, axis=axis, skipna=skipna)
Example #3
Source File: seasonal.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def seasonal_mean(x, freq):
    """
    Return means for each period in x. freq is an int that gives the
    number of periods per cycle. E.g., 12 for monthly. NaNs are ignored
    in the mean.
    """
    return np.array([pd_nanmean(x[i::freq], axis=0) for i in range(freq)])
Example #4
Source File: test_nanops.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_nanmean(self):
        self.check_funs(nanops.nanmean, np.mean, allow_complex=False,
                        allow_obj=False, allow_str=False, allow_date=False,
                        allow_tdelta=True)
Example #5
Source File: test_nanops.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_nanmean(self):
        self.check_funs(nanops.nanmean, np.mean, allow_complex=False,
                        allow_obj=False, allow_str=False, allow_date=False,
                        allow_tdelta=True)
Example #6
Source File: test_nanops.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_nanmean(self, tz):
        dti = pd.date_range('2016-01-01', periods=3, tz=tz)
        expected = dti[1]

        for obj in [dti, DatetimeArray(dti), Series(dti)]:
            result = nanops.nanmean(obj)
            assert result == expected

        dti2 = dti.insert(1, pd.NaT)

        for obj in [dti2, DatetimeArray(dti2), Series(dti2)]:
            result = nanops.nanmean(obj)
            assert result == expected
Example #7
Source File: numpy_.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def mean(self, axis=None, dtype=None, out=None, keepdims=False,
             skipna=True):
        nv.validate_mean((), dict(dtype=dtype, out=out, keepdims=keepdims))
        return nanops.nanmean(self._ndarray, axis=axis, skipna=skipna)
Example #8
Source File: seasonal.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def seasonal_mean(x, freq):
    """
    Return means for each period in x. freq is an int that gives the
    number of periods per cycle. E.g., 12 for monthly. NaNs are ignored
    in the mean.
    """
    return np.array([pd_nanmean(x[i::freq]) for i in range(freq)])
Example #9
Source File: test_nanops.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_nanmean(self):
        self.check_funs(nanops.nanmean, np.mean, allow_complex=False,
                        allow_obj=False, allow_str=False, allow_date=False,
                        allow_tdelta=True)
Example #10
Source File: test_nanops.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_nanmean(self):
        self.check_funs(nanops.nanmean, np.mean, allow_complex=False,
                        allow_obj=False, allow_str=False, allow_date=False,
                        allow_tdelta=True)
Example #11
Source File: test_nanops.py    From recruit with Apache License 2.0 4 votes vote down vote up 
def test_nanmean(self):
        self.check_funs(nanops.nanmean, np.mean, allow_complex=False,
                        allow_obj=False, allow_str=False, allow_date=False,
                        allow_tdelta=True)