Suppose I save a numpy array to a file, "arr.npy", using numpy.save() and that I do this using a particular python version, numpy version, and OS.
Can I load, using numpy.load(), arr.npy on a different OS using a different version of python or numpy? Are there any restrictions, such as backwards compatibility?
Yes. The .npy format is documented here:
https://github.com/numpy/numpy/blob/master/doc/neps/npy-format.rst
Note this comment in the source code (emphasis mine):
The
.npy
format is the standard binary file format in NumPy for persisting a single arbitrary NumPy array on disk. The format stores all of the shape and dtype information necessary to reconstruct the array correctly even on another machine with a different architecture.
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