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NumPy has the following versioning scheme (numbers given are examples; they can be > 9 in principle):

Comparing needs to be done against a valid version string or other NumpyVersion instance. Note that all development versions of the same (pre-)release compare equal.

versionadded

Parameters

vstring : str

NumPy version string ( np.__version__ ).

Parse and compare numpy version strings.

Examples

>>> from numpy.lib import NumpyVersion
... if NumpyVersion(np.__version__) < '1.7.0':
...  print('skip')
... # skip
This example is valid syntax, but raise an exception at execution
>>> NumpyVersion('1.7')  # raises ValueError, add ".0"
Traceback (most recent call last):
    ...
ValueError: Not a valid numpy version string
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.lib._version.NumpyVersion

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GitHub : /numpy/lib/_version.py#14
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