def dt64arr_to_periodarr(data, freq, tz):
if data.dtype != np.dtype('M8[ns]'):
raise ValueError('Wrong dtype: %s' % data.dtype)
freq = Period._maybe_convert_freq(freq)
base, mult = _gfc(freq)
return period.dt64arr_to_periodarr(data.view('i8'), base, tz)
def dt64arr_to_periodarr(data, freq, tz):
if data.dtype != np.dtype('M8[ns]'):
raise ValueError('Wrong dtype: %s' % data.dtype)
freq = Period._maybe_convert_freq(freq)
base, mult = _gfc(freq)
return period.dt64arr_to_periodarr(data.view('i8'), base, tz)
def dt64arr_to_periodarr(data, freq, tz=None):
if data.dtype != np.dtype('M8[ns]'):
raise ValueError('Wrong dtype: %s' % data.dtype)
freq = Period._maybe_convert_freq(freq)
base, mult = frequencies.get_freq_code(freq)
return libperiod.dt64arr_to_periodarr(data.view('i8'), base, tz)
def dt64arr_to_periodarr(data, freq, tz=None):
if data.dtype != np.dtype('M8[ns]'):
raise ValueError('Wrong dtype: %s' % data.dtype)
freq = Period._maybe_convert_freq(freq)
base, mult = frequencies.get_freq_code(freq)
return libperiod.dt64arr_to_periodarr(data.view('i8'), base, tz)
def dt64arr_to_periodarr(data, freq, tz=None):
"""
Convert an datetime-like array to values Period ordinals.
Parameters
----------
data : Union[Series[datetime64[ns]], DatetimeIndex, ndarray[datetime64ns]]
freq : Optional[Union[str, Tick]]
Must match the `freq` on the `data` if `data` is a DatetimeIndex
or Series.
tz : Optional[tzinfo]
Returns
-------
ordinals : ndarray[int]
freq : Tick
The frequencey extracted from the Series or DatetimeIndex if that's
used.
"""
if data.dtype != np.dtype('M8[ns]'):
raise ValueError('Wrong dtype: %s' % data.dtype)
if freq is not None:
freq = Period._maybe_convert_freq(freq)
if isinstance(data, ABCIndexClass):
if freq is None:
freq = data.freq
elif freq != data.freq:
msg = DIFFERENT_FREQ_INDEX.format(freq.freqstr, data.freq.freqstr)
raise IncompatibleFrequency(msg)
data = data._values
elif isinstance(data, ABCSeries):
if freq is None:
freq = data.dt.freq
elif freq != data.dt.freq:
msg = DIFFERENT_FREQ_INDEX.format(freq.freqstr,
data.dt.freq.freqstr)
raise IncompatibleFrequency(msg)
data = data._values
base, mult = frequencies.get_freq_code(freq)
return libperiod.dt64arr_to_periodarr(data.view('i8'), base, tz), freq
def dt64arr_to_periodarr(data, freq, tz=None):
"""
Convert an datetime-like array to values Period ordinals.
Parameters
----------
data : Union[Series[datetime64[ns]], DatetimeIndex, ndarray[datetime64ns]]
freq : Optional[Union[str, Tick]]
Must match the `freq` on the `data` if `data` is a DatetimeIndex
or Series.
tz : Optional[tzinfo]
Returns
-------
ordinals : ndarray[int]
freq : Tick
The frequencey extracted from the Series or DatetimeIndex if that's
used.
"""
if data.dtype != np.dtype('M8[ns]'):
raise ValueError('Wrong dtype: %s' % data.dtype)
if freq is None:
if isinstance(data, ABCIndexClass):
data, freq = data._values, data.freq
elif isinstance(data, ABCSeries):
data, freq = data._values, data.dt.freq
freq = Period._maybe_convert_freq(freq)
if isinstance(data, (ABCIndexClass, ABCSeries)):
data = data._values
base, mult = frequencies.get_freq_code(freq)
return libperiod.dt64arr_to_periodarr(data.view('i8'), base, tz), freq
def dt64arr_to_periodarr(data, freq, tz=None):
"""
Convert an datetime-like array to values Period ordinals.
Parameters
----------
data : Union[Series[datetime64[ns]], DatetimeIndex, ndarray[datetime64ns]]
freq : Optional[Union[str, Tick]]
Must match the `freq` on the `data` if `data` is a DatetimeIndex
or Series.
tz : Optional[tzinfo]
Returns
-------
ordinals : ndarray[int]
freq : Tick
The frequency extracted from the Series or DatetimeIndex if that's
used.
"""
if data.dtype != np.dtype("M8[ns]"):
raise ValueError(f"Wrong dtype: {data.dtype}")
if freq is None:
if isinstance(data, ABCIndexClass):
data, freq = data._values, data.freq
elif isinstance(data, ABCSeries):
data, freq = data._values, data.dt.freq
freq = Period._maybe_convert_freq(freq)
if isinstance(data, (ABCIndexClass, ABCSeries)):
data = data._values
base, mult = libfrequencies.get_freq_code(freq)
return libperiod.dt64arr_to_periodarr(data.view("i8"), base, tz), freq
