def test_decodeBigEscape(self):
for x in xrange(10):
if py3compat.PY3:
base = '\u00e5'.encode('utf-8')
else:
base = "\xc3\xa5"
quote = py3compat.str_to_bytes("\"")
input = quote + (base * 1024 * 1024 * 2) + quote
output = ujson.decode(input)
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,
py3compat.str_to_bytes(how))
return PeriodIndex(new_data, freq=freq)
def asfreq(self, freq=None, how='E'):
"""
Parameters
----------
freq :
how :
Returns
-------
resampled : Period
"""
how = _validate_end_alias(how)
base1, mult1 = _gfc(self.freq)
base2, mult2 = _gfc(freq)
new_ordinal = lib.period_asfreq(self.ordinal, base1, mult1,
base2, mult2, py3compat.str_to_bytes(how))
return Period(new_ordinal, (base2, mult2))
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