Python pandas._libs.lib.is_datetime_array() Examples

The following are 10 code examples of pandas._libs.lib.is_datetime_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._libs.lib , or try the search function .
Example #1
Source File: test_inference.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_is_datetimelike_array_all_nan_nat_like(self):
        arr = np.array([np.nan, pd.NaT, np.datetime64('nat')])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.datetime64('nat'),
                        np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, np.nan], dtype=object)
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        assert lib.is_datetime_with_singletz_array(
            np.array([pd.Timestamp('20130101', tz='US/Eastern'),
                      pd.Timestamp('20130102', tz='US/Eastern')],
                     dtype=object))
        assert not lib.is_datetime_with_singletz_array(
            np.array([pd.Timestamp('20130101', tz='US/Eastern'),
                      pd.Timestamp('20130102', tz='CET')],
                     dtype=object))
Example #2
Source File: base.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def is_all_dates(self):
        if self._data is None:
            return False
        return is_datetime_array(ensure_object(self.values))

    # --------------------------------------------------------------------
    # Pickle Methods
Example #3
Source File: base.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def is_all_dates(self):
        if self._data is None:
            return False
        return is_datetime_array(_ensure_object(self.values))
Example #4
Source File: test_inference.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_is_datetimelike_array_all_nan_nat_like(self):
        arr = np.array([np.nan, pd.NaT, np.datetime64('nat')])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.datetime64('nat'),
                        np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, np.nan], dtype=object)
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        assert lib.is_datetime_with_singletz_array(
            np.array([pd.Timestamp('20130101', tz='US/Eastern'),
                      pd.Timestamp('20130102', tz='US/Eastern')],
                     dtype=object))
        assert not lib.is_datetime_with_singletz_array(
            np.array([pd.Timestamp('20130101', tz='US/Eastern'),
                      pd.Timestamp('20130102', tz='CET')],
                     dtype=object))
Example #5
Source File: base.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def is_all_dates(self):
        if self._data is None:
            return False
        return is_datetime_array(ensure_object(self.values))

    # --------------------------------------------------------------------
    # Pickle Methods
Example #6
Source File: base.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def is_all_dates(self):
        if self._data is None:
            return False
        return is_datetime_array(_ensure_object(self.values))
Example #7
Source File: test_inference.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_is_datetimelike_array_all_nan_nat_like(self):
        arr = np.array([np.nan, pd.NaT, np.datetime64('nat')])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert lib.is_timedelta_array(arr)
        assert lib.is_timedelta64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.datetime64('nat'),
                        np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert lib.is_timedelta_array(arr)
        assert lib.is_timedelta64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, np.nan], dtype=object)
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)
Example #8
Source File: base.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def is_all_dates(self):
        if self._data is None:
            return False
        return is_datetime_array(_ensure_object(self.values))
Example #9
Source File: test_inference.py    From vnpy_crypto with MIT License 4 votes vote down vote up 
def test_is_datetimelike_array_all_nan_nat_like(self):
        arr = np.array([np.nan, pd.NaT, np.datetime64('nat')])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert lib.is_timedelta_array(arr)
        assert lib.is_timedelta64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.datetime64('nat'),
                        np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert lib.is_timedelta_array(arr)
        assert lib.is_timedelta64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, np.nan], dtype=object)
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        assert lib.is_datetime_with_singletz_array(
            np.array([pd.Timestamp('20130101', tz='US/Eastern'),
                      pd.Timestamp('20130102', tz='US/Eastern')],
                     dtype=object))
        assert not lib.is_datetime_with_singletz_array(
            np.array([pd.Timestamp('20130101', tz='US/Eastern'),
                      pd.Timestamp('20130102', tz='CET')],
                     dtype=object))
Example #10
Source File: test_inference.py    From twitter-stock-recommendation with MIT License 4 votes vote down vote up 
def test_is_datetimelike_array_all_nan_nat_like(self):
        arr = np.array([np.nan, pd.NaT, np.datetime64('nat')])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert lib.is_timedelta_array(arr)
        assert lib.is_timedelta64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT, np.datetime64('nat'),
                        np.timedelta64('nat')])
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, pd.NaT])
        assert lib.is_datetime_array(arr)
        assert lib.is_datetime64_array(arr)
        assert lib.is_timedelta_array(arr)
        assert lib.is_timedelta64_array(arr)
        assert lib.is_timedelta_or_timedelta64_array(arr)

        arr = np.array([np.nan, np.nan], dtype=object)
        assert not lib.is_datetime_array(arr)
        assert not lib.is_datetime64_array(arr)
        assert not lib.is_timedelta_array(arr)
        assert not lib.is_timedelta64_array(arr)
        assert not lib.is_timedelta_or_timedelta64_array(arr)

        assert lib.is_datetime_with_singletz_array(
            np.array([pd.Timestamp('20130101', tz='US/Eastern'),
                      pd.Timestamp('20130102', tz='US/Eastern')],
                     dtype=object))
        assert not lib.is_datetime_with_singletz_array(
            np.array([pd.Timestamp('20130101', tz='US/Eastern'),
                      pd.Timestamp('20130102', tz='CET')],
                     dtype=object))