def asfreq(self, freq=None, how='E'):
how = _validate_end_alias(how)
freq = _freq_mod.get_standard_freq(freq)
base1, mult1 = _gfc(self.freq)
if isinstance(freq, basestring):
base2, mult2 = _gfc(freq)
else:
base2, mult2 = freq
if mult2 != 1:
raise ValueError('Only mult == 1 supported')
if how not in ('S', 'E'):
raise ValueError('relation argument must be one of S or E')
end = how == 'E'
new_data = lib.period_asfreq_arr(self.values, base1, base2, end)
result = new_data.view(PeriodIndex)
result.name = self.name
result.freq = freq
return result
def asfreq(self, freq=None, how="E"):
how = _validate_end_alias(how)
base1, mult1 = _gfc(self.freq)
if isinstance(freq, basestring):
base2, mult2 = _gfc(freq)
else:
base2, mult2 = freq
new_data = lib.period_asfreq_arr(self.values, base1, mult1, base2, mult2, how)
return PeriodIndex(new_data, freq=freq)
def asfreq(self, freq=None, how='E'):
how = _validate_end_alias(how)
base1, mult1 = _gfc(self.freq)
if isinstance(freq, basestring):
base2, mult2 = _gfc(freq)
else:
base2, mult2 = freq
if how not in ('S', 'E'):
raise ValueError('relation argument must be one of S or E')
end = how == 'E'
new_data = lib.period_asfreq_arr(self.values, base1, mult1,
base2, mult2, end)
return PeriodIndex(new_data, freq=freq)
def __new__(cls, data=None,
freq=None, start=None, end=None, periods=None,
copy=False, name=None):
if isinstance(freq, Period):
freq = freq.freq
else:
freq = _freq_mod.get_standard_freq(freq)
if data is None:
subarr, freq = _get_ordinal_range(start, end, periods, freq)
subarr = subarr.view(cls)
subarr.name = name
subarr.freq = freq
return subarr
if not isinstance(data, np.ndarray):
if np.isscalar(data):
raise ValueError('PeriodIndex() must be called with a '
'collection of some kind, %s was passed'
% repr(data))
elif isinstance(data, Period):
raise ValueError('Data must be array of dates, strings, '
'or Period objects')
# other iterable of some kind
if not isinstance(data, (list, tuple)):
data = list(data)
try:
data = np.array(data, dtype='i8')
except:
data = np.array(data, dtype='O')
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 = _period_unbox_array(data, check=freq)
else:
if isinstance(data, PeriodIndex):
if freq is None or freq == data.freq:
freq = data.freq
data = data.values
else:
base1, mult1 = _gfc(data.freq)
base2, mult2 = _gfc(freq)
how = py3compat.str_to_bytes('E')
data = lib.period_asfreq_arr(data.values, base1, mult1,
base2, mult2, how)
else:
if freq is None and len(data) > 0:
freq = getattr(data[0], 'freq')
if freq is None:
raise ValueError(('freq not specified and cannot be '
'inferred from first element'))
if data.dtype == np.datetime64:
data = dt64arr_to_periodarr(data, freq)
elif data.dtype == np.int64:
pass
else:
try:
data = data.astype('i8')
except:
data = data.astype('O')
data = _period_unbox_array(data, check=freq)
data = np.array(data, dtype=np.int64, copy=False)
if (data <= 0).any():
raise ValueError("Found illegal (<= 0) values in data")
subarr = data.view(cls)
subarr.name = name
subarr.freq = freq
return subarr
def __new__(cls, data=None, freq=None, start=None, end=None, periods=None, copy=False, name=None):
if isinstance(freq, Period):
freq = freq.freq
else:
freq = datetools.get_standard_freq(freq)
if data is None:
if start is None and end is None:
raise ValueError("Must specify start, end, or data")
start = to_period(start, freq)
end = to_period(end, freq)
is_start_intv = isinstance(start, Period)
is_end_intv = isinstance(end, Period)
if start is not None and not is_start_intv:
raise ValueError("Failed to convert %s to period" % start)
if end is not None and not is_end_intv:
raise ValueError("Failed to convert %s to period" % end)
if is_start_intv and is_end_intv and (start.freq != end.freq):
raise ValueError("Start and end must have same freq")
if freq is None:
if is_start_intv:
freq = start.freq
elif is_end_intv:
freq = end.freq
else:
raise ValueError("Could not infer freq from start/end")
if periods is not None:
if start is None:
data = np.arange(end.ordinal - periods + 1, end.ordinal + 1, dtype=np.int64)
else:
data = np.arange(start.ordinal, start.ordinal + periods, dtype=np.int64)
else:
if start is None or end is None:
msg = "Must specify both start and end if periods is None"
raise ValueError(msg)
data = np.arange(start.ordinal, end.ordinal + 1, dtype=np.int64)
subarr = data.view(cls)
subarr.name = name
subarr.freq = freq
return subarr
if not isinstance(data, np.ndarray):
if np.isscalar(data):
raise ValueError(
"PeriodIndex() must be called with a " "collection of some kind, %s was passed" % repr(data)
)
if isinstance(data, Period):
data = [data]
# other iterable of some kind
if not isinstance(data, (list, tuple)):
data = list(data)
try:
data = np.array(data, dtype="i8")
except:
data = np.array(data, dtype="O")
if freq is None:
raise ValueError("freq cannot be none")
data = _period_unbox_array(data, check=freq)
else:
if isinstance(data, PeriodIndex):
if freq is None or freq == data.freq:
freq = data.freq
data = data.values
else:
base1, mult1 = _gfc(data.freq)
base2, mult2 = _gfc(freq)
data = lib.period_asfreq_arr(data.values, base1, mult1, base2, mult2, "E")
else:
if freq is None:
raise ValueError("freq cannot be none")
if data.dtype == np.datetime64:
data = dt64arr_to_periodarr(data, freq)
elif data.dtype == np.int64:
pass
else:
data = data.astype("i8")
data = np.array(data, dtype=np.int64, copy=False)
if (data <= 0).any():
raise ValueError("Found illegal (<= 0) values in data")
subarr = data.view(cls)
subarr.name = name
subarr.freq = freq
return subarr
