| """ support numpy compatibility across versions """ |
| import warnings |
|
|
| import numpy as np |
|
|
| from pandas.util.version import Version |
|
|
| |
| _np_version = np.__version__ |
| _nlv = Version(_np_version) |
| np_version_lt1p23 = _nlv < Version("1.23") |
| np_version_gte1p24 = _nlv >= Version("1.24") |
| np_version_gte1p24p3 = _nlv >= Version("1.24.3") |
| np_version_gte1p25 = _nlv >= Version("1.25") |
| np_version_gt2 = _nlv >= Version("2.0.0") |
| is_numpy_dev = _nlv.dev is not None |
| _min_numpy_ver = "1.22.4" |
|
|
|
|
| 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" |
| ) |
|
|
|
|
| np_long: type |
| np_ulong: type |
|
|
| if np_version_gt2: |
| try: |
| with warnings.catch_warnings(): |
| warnings.filterwarnings( |
| "ignore", |
| r".*In the future `np\.long` will be defined as.*", |
| FutureWarning, |
| ) |
| np_long = np.long |
| np_ulong = np.ulong |
| except AttributeError: |
| np_long = np.int_ |
| np_ulong = np.uint |
| else: |
| np_long = np.int_ |
| np_ulong = np.uint |
|
|
|
|
| __all__ = [ |
| "np", |
| "_np_version", |
| "is_numpy_dev", |
| ] |
|
|
