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- """ support numpy compatibility across versions """
- import numpy as np
- from pandas.util.version import Version
- # numpy versioning
- _np_version = np.__version__
- _nlv = Version(_np_version)
- np_version_under1p21 = _nlv < Version("1.21")
- np_version_under1p22 = _nlv < Version("1.22")
- np_version_gte1p22 = _nlv >= Version("1.22")
- np_version_gte1p24 = _nlv >= Version("1.24")
- np_version_gte1p24p3 = _nlv >= Version("1.24.3")
- np_version_gte1p25 = _nlv >= Version("1.25")
- is_numpy_dev = _nlv.dev is not None
- _min_numpy_ver = "1.20.3"
- if is_numpy_dev or not np_version_under1p22:
- np_percentile_argname = "method"
- else:
- np_percentile_argname = "interpolation"
- if _nlv < Version(_min_numpy_ver):
- raise ImportError(
- f"this version of pandas is incompatible with numpy < {_min_numpy_ver}\n"
- f"your numpy version is {_np_version}.\n"
- f"Please upgrade numpy to >= {_min_numpy_ver} to use this pandas version"
- )
- __all__ = [
- "np",
- "_np_version",
- "is_numpy_dev",
- ]
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