78 lines
2.3 KiB
Python
78 lines
2.3 KiB
Python
""" support numpy compatiblitiy across versions """
|
|
|
|
import re
|
|
import numpy as np
|
|
from distutils.version import LooseVersion
|
|
from pandas.compat import string_types, string_and_binary_types
|
|
|
|
|
|
# numpy versioning
|
|
_np_version = np.__version__
|
|
_nlv = LooseVersion(_np_version)
|
|
_np_version_under1p10 = _nlv < LooseVersion('1.10')
|
|
_np_version_under1p11 = _nlv < LooseVersion('1.11')
|
|
_np_version_under1p12 = _nlv < LooseVersion('1.12')
|
|
_np_version_under1p13 = _nlv < LooseVersion('1.13')
|
|
_np_version_under1p14 = _nlv < LooseVersion('1.14')
|
|
_np_version_under1p15 = _nlv < LooseVersion('1.15')
|
|
|
|
if _nlv < '1.9':
|
|
raise ImportError('this version of pandas is incompatible with '
|
|
'numpy < 1.9.0\n'
|
|
'your numpy version is {0}.\n'
|
|
'Please upgrade numpy to >= 1.9.0 to use '
|
|
'this pandas version'.format(_np_version))
|
|
|
|
|
|
_tz_regex = re.compile('[+-]0000$')
|
|
|
|
|
|
def tz_replacer(s):
|
|
if isinstance(s, string_types):
|
|
if s.endswith('Z'):
|
|
s = s[:-1]
|
|
elif _tz_regex.search(s):
|
|
s = s[:-5]
|
|
return s
|
|
|
|
|
|
def np_datetime64_compat(s, *args, **kwargs):
|
|
"""
|
|
provide compat for construction of strings to numpy datetime64's with
|
|
tz-changes in 1.11 that make '2015-01-01 09:00:00Z' show a deprecation
|
|
warning, when need to pass '2015-01-01 09:00:00'
|
|
"""
|
|
|
|
if not _np_version_under1p11:
|
|
s = tz_replacer(s)
|
|
return np.datetime64(s, *args, **kwargs)
|
|
|
|
|
|
def np_array_datetime64_compat(arr, *args, **kwargs):
|
|
"""
|
|
provide compat for construction of an array of strings to a
|
|
np.array(..., dtype=np.datetime64(..))
|
|
tz-changes in 1.11 that make '2015-01-01 09:00:00Z' show a deprecation
|
|
warning, when need to pass '2015-01-01 09:00:00'
|
|
"""
|
|
|
|
if not _np_version_under1p11:
|
|
|
|
# is_list_like
|
|
if hasattr(arr, '__iter__') and not \
|
|
isinstance(arr, string_and_binary_types):
|
|
arr = [tz_replacer(s) for s in arr]
|
|
else:
|
|
arr = tz_replacer(arr)
|
|
|
|
return np.array(arr, *args, **kwargs)
|
|
|
|
|
|
__all__ = ['np',
|
|
'_np_version_under1p10',
|
|
'_np_version_under1p11',
|
|
'_np_version_under1p12',
|
|
'_np_version_under1p13',
|
|
'_np_version_under1p14',
|
|
'_np_version_under1p15'
|
|
]
|