def _from_arraylike(cls, data, freq, tz):
if not isinstance(data, np.ndarray):
if np.isscalar(data) or isinstance(data, Period):
raise ValueError('PeriodIndex() must be called with a '
'collection of some kind, %s was passed' %
repr(data))
# other iterable of some kind
if not isinstance(data, (list, tuple)):
data = list(data)
try:
data = com._ensure_int64(data)
if freq is None:
raise ValueError('freq not specified')
data = np.array([Period(x, freq=freq).ordinal for x in data],
dtype=np.int64)
except (TypeError, ValueError):
data = com._ensure_object(data)
if freq is None and len(data) > 0:
freq = getattr(data[0], 'freq', None)
if freq is None:
raise ValueError('freq not specified and cannot be '
'inferred from first element')
data = _get_ordinals(data, freq)
else:
if isinstance(data, PeriodIndex):
if freq is None or freq == data.freq:
freq = data.freq
data = data.values
else:
base1, _ = _gfc(data.freq)
base2, _ = _gfc(freq)
data = tslib.period_asfreq_arr(data.values, base1, base2,
1)
else:
if freq is None and len(data) > 0:
freq = getattr(data[0], 'freq', None)
if freq is None:
raise ValueError(('freq not specified and cannot be '
'inferred from first element'))
if np.issubdtype(data.dtype, np.datetime64):
data = dt64arr_to_periodarr(data, freq, tz)
elif data.dtype == np.int64:
pass
else:
try:
data = com._ensure_int64(data)
except (TypeError, ValueError):
data = com._ensure_object(data)
data = _get_ordinals(data, freq)
return data, freq
def _from_arraylike(cls, data, freq, tz):
if not isinstance(data, np.ndarray):
if np.isscalar(data) or isinstance(data, Period):
raise ValueError('PeriodIndex() must be called with a '
'collection of some kind, %s was passed'
% repr(data))
# other iterable of some kind
if not isinstance(data, (list, tuple)):
data = list(data)
try:
data = com._ensure_int64(data)
if freq is None:
raise ValueError('freq not specified')
data = np.array([Period(x, freq=freq).ordinal for x in data],
dtype=np.int64)
except (TypeError, ValueError):
data = com._ensure_object(data)
if freq is None and len(data) > 0:
freq = getattr(data[0], 'freq', None)
if freq is None:
raise ValueError('freq not specified and cannot be '
'inferred from first element')
data = _get_ordinals(data, freq)
else:
if isinstance(data, PeriodIndex):
if freq is None or freq == data.freq:
freq = data.freq
data = data.values
else:
base1, _ = _gfc(data.freq)
base2, _ = _gfc(freq)
data = tslib.period_asfreq_arr(data.values, base1,
base2, 1)
else:
if freq is None and len(data) > 0:
freq = getattr(data[0], 'freq', None)
if freq is None:
raise ValueError(('freq not specified and cannot be '
'inferred from first element'))
if np.issubdtype(data.dtype, np.datetime64):
data = dt64arr_to_periodarr(data, freq, tz)
elif data.dtype == np.int64:
pass
else:
try:
data = com._ensure_int64(data)
except (TypeError, ValueError):
data = com._ensure_object(data)
data = _get_ordinals(data, freq)
return data, freq
def asfreq(self, freq=None, how='E'):
how = _validate_end_alias(how)
freq = _freq_mod.get_standard_freq(freq)
base1, mult1 = _gfc(self.freq)
base2, mult2 = _gfc(freq)
if mult2 != 1:
raise ValueError('Only mult == 1 supported')
end = how == 'E'
new_data = tslib.period_asfreq_arr(self.values, base1, base2, end)
return self._simple_new(new_data, self.name, freq=freq)
def asfreq(self, freq=None, how='E'):
how = _validate_end_alias(how)
freq = _freq_mod.get_standard_freq(freq)
base1, mult1 = _gfc(self.freq)
base2, mult2 = _gfc(freq)
if mult2 != 1:
raise ValueError('Only mult == 1 supported')
end = how == 'E'
new_data = tslib.period_asfreq_arr(self.values, base1, base2, end)
return self._simple_new(new_data, self.name, freq=freq)
def asfreq(self, freq=None, how="E"):
how = _validate_end_alias(how)
freq = _freq_mod.get_standard_freq(freq)
base1, mult1 = _gfc(self.freq)
base2, mult2 = _gfc(freq)
if mult2 != 1:
raise ValueError("Only mult == 1 supported")
end = how == "E"
new_data = tslib.period_asfreq_arr(self.values, base1, base2, end)
result = new_data.view(PeriodIndex)
result.name = self.name
result.freq = freq
return result
