numpy.lib.NumpyVersion#

class numpy.lib.NumpyVersion(vstring)[source]#

Parse and compare numpy version strings.

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

• Released version: 1.8.0, 1.8.1, etc.

• Alpha: 1.8.0a1, 1.8.0a2, etc.

• Beta: 1.8.0b1, 1.8.0b2, etc.

• Release candidates: 1.8.0rc1, 1.8.0rc2, etc.

• Development versions: 1.8.0.dev-f1234afa (git commit hash appended)

• Development versions after a1: 1.8.0a1.dev-f1234afa, 1.8.0b2.dev-f1234afa, 1.8.1rc1.dev-f1234afa, etc.

• Development versions (no git hash available): 1.8.0.dev-Unknown

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.

Parameters:

vstringstr

NumPy version string (np.__version__).

Examples

Try it in your browser!

>>> from numpy.lib import NumpyVersion
>>> if NumpyVersion(np.__version__) < '1.7.0':
...     print('skip')
>>> # skip

>>> NumpyVersion('1.7')  # raises ValueError, add ".0"
Traceback (most recent call last):
    ...
ValueError: Not a valid numpy version string

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