Python pandas._libs.tslib.ints_to_pydatetime() Examples

The following are 14 code examples of pandas._libs.tslib.ints_to_pydatetime(). 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.tslib , or try the search function .
Example #1
Source File: datetimes.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def __iter__(self):
        """
        Return an iterator over the boxed values

        Yields
        -------
        tstamp : Timestamp
        """

        # convert in chunks of 10k for efficiency
        data = self.asi8
        length = len(self)
        chunksize = 10000
        chunks = int(length / chunksize) + 1
        for i in range(chunks):
            start_i = i * chunksize
            end_i = min((i + 1) * chunksize, length)
            converted = tslib.ints_to_pydatetime(data[start_i:end_i],
                                                 tz=self.tz, freq=self.freq,
                                                 box="timestamp")
            for v in converted:
                yield v
Example #2
Source File: concat.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def _convert_datetimelike_to_object(x):
    # coerce datetimelike array to object dtype

    # if dtype is of datetimetz or timezone
    if x.dtype.kind == _NS_DTYPE.kind:
        if getattr(x, 'tz', None) is not None:
            x = x.astype(object).values
        else:
            shape = x.shape
            x = tslib.ints_to_pydatetime(x.view(np.int64).ravel(),
                                         box="timestamp")
            x = x.reshape(shape)

    elif x.dtype == _TD_DTYPE:
        shape = x.shape
        x = tslib.ints_to_pytimedelta(x.view(np.int64).ravel(), box=True)
        x = x.reshape(shape)

    return x
Example #3
Source File: datetimes.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def __iter__(self):
        """
        Return an iterator over the boxed values

        Yields
        -------
        tstamp : Timestamp
        """

        # convert in chunks of 10k for efficiency
        data = self.asi8
        length = len(self)
        chunksize = 10000
        chunks = int(length / chunksize) + 1
        for i in range(chunks):
            start_i = i * chunksize
            end_i = min((i + 1) * chunksize, length)
            converted = tslib.ints_to_pydatetime(data[start_i:end_i],
                                                 tz=self.tz, freq=self.freq,
                                                 box="timestamp")
            for v in converted:
                yield v
Example #4
Source File: datetimes.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def to_pydatetime(self):
        """
        Return Datetime Array/Index as object ndarray of datetime.datetime
        objects

        Returns
        -------
        datetimes : ndarray
        """
        return tslib.ints_to_pydatetime(self.asi8, tz=self.tz)
Example #5
Source File: datetimes.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def time(self):
        """
        Returns numpy array of datetime.time. The time part of the Timestamps.
        """
        # If the Timestamps have a timezone that is not UTC,
        # convert them into their i8 representation while
        # keeping their timezone and not using UTC
        if self.tz is not None and not timezones.is_utc(self.tz):
            timestamps = self._local_timestamps()
        else:
            timestamps = self.asi8

        return tslib.ints_to_pydatetime(timestamps, box="time")
Example #6
Source File: datetimes.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def timetz(self):
        """
        Returns numpy array of datetime.time also containing timezone
        information. The time part of the Timestamps.
        """
        return tslib.ints_to_pydatetime(self.asi8, self.tz, box="time")
Example #7
Source File: datetimes.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def date(self):
        """
        Returns numpy array of python datetime.date objects (namely, the date
        part of Timestamps without timezone information).
        """
        # If the Timestamps have a timezone that is not UTC,
        # convert them into their i8 representation while
        # keeping their timezone and not using UTC
        if self.tz is not None and not timezones.is_utc(self.tz):
            timestamps = self._local_timestamps()
        else:
            timestamps = self.asi8

        return tslib.ints_to_pydatetime(timestamps, box="date")
Example #8
Source File: common.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def _where_compat(mask, arr1, arr2):
    if arr1.dtype == _NS_DTYPE and arr2.dtype == _NS_DTYPE:
        new_vals = np.where(mask, arr1.view('i8'), arr2.view('i8'))
        return new_vals.view(_NS_DTYPE)

    if arr1.dtype == _NS_DTYPE:
        arr1 = tslib.ints_to_pydatetime(arr1.view('i8'))
    if arr2.dtype == _NS_DTYPE:
        arr2 = tslib.ints_to_pydatetime(arr2.view('i8'))

    return np.where(mask, arr1, arr2)
Example #9
Source File: datetimes.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def to_pydatetime(self):
        """
        Return Datetime Array/Index as object ndarray of datetime.datetime
        objects

        Returns
        -------
        datetimes : ndarray
        """
        return tslib.ints_to_pydatetime(self.asi8, tz=self.tz)
Example #10
Source File: datetimes.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def time(self):
        """
        Returns numpy array of datetime.time. The time part of the Timestamps.
        """
        # If the Timestamps have a timezone that is not UTC,
        # convert them into their i8 representation while
        # keeping their timezone and not using UTC
        if self.tz is not None and not timezones.is_utc(self.tz):
            timestamps = self._local_timestamps()
        else:
            timestamps = self.asi8

        return tslib.ints_to_pydatetime(timestamps, box="time")
Example #11
Source File: datetimes.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def timetz(self):
        """
        Returns numpy array of datetime.time also containing timezone
        information. The time part of the Timestamps.
        """
        return tslib.ints_to_pydatetime(self.asi8, self.tz, box="time")
Example #12
Source File: datetimes.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def date(self):
        """
        Returns numpy array of python datetime.date objects (namely, the date
        part of Timestamps without timezone information).
        """
        # If the Timestamps have a timezone that is not UTC,
        # convert them into their i8 representation while
        # keeping their timezone and not using UTC
        if self.tz is not None and not timezones.is_utc(self.tz):
            timestamps = self._local_timestamps()
        else:
            timestamps = self.asi8

        return tslib.ints_to_pydatetime(timestamps, box="date")
Example #13
Source File: common.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def _where_compat(mask, arr1, arr2):
    if arr1.dtype == _NS_DTYPE and arr2.dtype == _NS_DTYPE:
        new_vals = np.where(mask, arr1.view('i8'), arr2.view('i8'))
        return new_vals.view(_NS_DTYPE)

    if arr1.dtype == _NS_DTYPE:
        arr1 = tslib.ints_to_pydatetime(arr1.view('i8'))
    if arr2.dtype == _NS_DTYPE:
        arr2 = tslib.ints_to_pydatetime(arr2.view('i8'))

    return np.where(mask, arr1, arr2)
Example #14
Source File: common.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def _where_compat(mask, arr1, arr2):
    if arr1.dtype == _NS_DTYPE and arr2.dtype == _NS_DTYPE:
        new_vals = np.where(mask, arr1.view('i8'), arr2.view('i8'))
        return new_vals.view(_NS_DTYPE)

    if arr1.dtype == _NS_DTYPE:
        arr1 = tslib.ints_to_pydatetime(arr1.view('i8'))
    if arr2.dtype == _NS_DTYPE:
        arr2 = tslib.ints_to_pydatetime(arr2.view('i8'))

    return np.where(mask, arr1, arr2)