How to recover a numpy array from npy.gz file

Question

I\'ve saved a number of numpy objects with the following code:

f = gzip.GzipFile(\'/some/path/file.npy.gz\', \"w\")
np.save(file=f, arr=np.rint(trimmed).asty         


        

Answer 1

If it works to save to a gzip file, it might also work to read from one. load is the counterpart to save:

In [193]: import gzip
In [194]: f = gzip.GzipFile('file.npy.gz', "w")
In [195]: np.save(f, np.arange(100))
In [196]: f.close()

In [200]: f = gzip.GzipFile('file.npy.gz', "r")
In [201]: np.load(f)
Out[201]: 
array([ 0,  1,  2,  3,  4,  .... 98, 99])

There is also a savez(compressed) that saves multiple arrays to a zip archive.