71 lines
1.9 KiB
Python
71 lines
1.9 KiB
Python
""" support numpy compatibility across versions """
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from distutils.version import LooseVersion
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import re
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import numpy as np
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# numpy versioning
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_np_version = np.__version__
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_nlv = LooseVersion(_np_version)
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np_version_under1p17 = _nlv < LooseVersion("1.17")
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np_version_under1p18 = _nlv < LooseVersion("1.18")
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_np_version_under1p19 = _nlv < LooseVersion("1.19")
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_np_version_under1p20 = _nlv < LooseVersion("1.20")
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is_numpy_dev = ".dev" in str(_nlv)
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_min_numpy_ver = "1.16.5"
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if _nlv < _min_numpy_ver:
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raise ImportError(
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f"this version of pandas is incompatible with numpy < {_min_numpy_ver}\n"
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f"your numpy version is {_np_version}.\n"
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f"Please upgrade numpy to >= {_min_numpy_ver} to use this pandas version"
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)
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_tz_regex = re.compile("[+-]0000$")
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def tz_replacer(s):
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if isinstance(s, str):
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if s.endswith("Z"):
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s = s[:-1]
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elif _tz_regex.search(s):
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s = s[:-5]
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return s
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def np_datetime64_compat(s, *args, **kwargs):
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"""
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provide compat for construction of strings to numpy datetime64's with
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tz-changes in 1.11 that make '2015-01-01 09:00:00Z' show a deprecation
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warning, when need to pass '2015-01-01 09:00:00'
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"""
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s = tz_replacer(s)
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return np.datetime64(s, *args, **kwargs)
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def np_array_datetime64_compat(arr, *args, **kwargs):
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"""
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provide compat for construction of an array of strings to a
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np.array(..., dtype=np.datetime64(..))
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tz-changes in 1.11 that make '2015-01-01 09:00:00Z' show a deprecation
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warning, when need to pass '2015-01-01 09:00:00'
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"""
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# is_list_like
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if hasattr(arr, "__iter__") and not isinstance(arr, (str, bytes)):
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arr = [tz_replacer(s) for s in arr]
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else:
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arr = tz_replacer(arr)
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return np.array(arr, *args, **kwargs)
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__all__ = [
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"np",
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"_np_version",
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"np_version_under1p17",
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"is_numpy_dev",
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]
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