""" support numpy compatibility across versions """
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import numpy as np
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from pandas.util.version import Version
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# numpy versioning
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_np_version = np.__version__
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_nlv = Version(_np_version)
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np_version_under1p21 = _nlv < Version("1.21")
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np_version_under1p22 = _nlv < Version("1.22")
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np_version_gte1p22 = _nlv >= Version("1.22")
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np_version_gte1p24 = _nlv >= Version("1.24")
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np_version_gte1p24p3 = _nlv >= Version("1.24.3")
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is_numpy_dev = _nlv.dev is not None
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_min_numpy_ver = "1.20.3"
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if is_numpy_dev or not np_version_under1p22:
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np_percentile_argname = "method"
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else:
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np_percentile_argname = "interpolation"
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if _nlv < Version(_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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__all__ = [
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"np",
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"_np_version",
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"is_numpy_dev",
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]
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