What causes the unpickling error in numpy?

debugcn Published at Dev

Aivan Eugene Gan Chua Francisc

I'm currently getting an unpickling error for loading a gz file using the numpy load function. I'm not sure what's causing this. Could offer some suggestions. I'm not sure if the data inside the file might be the problem.

 import numpy as np
 import gzip
 import io
 import pickle


 n = np.load("proteins1.npy.gz",mmap_mode='r')
 print(n)

Here is the error:

UnpicklingError                           Traceback (most recent call last)
C:\Users\Aivan Francisco\Anaconda3\lib\site-packages\numpy\lib\npyio.py in load(file, mmap_mode, allow_pickle, fix_imports, encoding)
    412             try:
--> 413                 return pickle.load(fid, **pickle_kwargs)
    414             except:

UnpicklingError:

During handling of the above exception, another exception occurred:

OSError                                   Traceback (most recent call last)
 <ipython-input-1-b9f88486c866> in <module>()
      7 #file_name = open("proteins1.npy.gz","r")
      8

----> 9 n = np.load("proteins1.npy.gz",mmap_mode='r') 10 print(n) 11

 C:\Users\Aivan Francisco\Anaconda3\lib\site-packages\numpy\lib\npyio.py in load(file, mmap_mode, allow_pickle, fix_imports, encoding)
     414             except:
     415                 raise IOError(
 --> 416                     "Failed to interpret file %s as a pickle" %   repr(file))
    417     finally:
    418         if own_fid:

 OSError: Failed to interpret file 'proteins1.npy.gz' as a pickle

K. A. Buhr

I believe that numpy.load expects to read an uncompressed *.npy file, not a gzipped *.npy.gz file. Try uncompressing the file first before loading it.

Collected from the Internet

Please contact [email protected] to delete if infringement.