Pickle incompatibility of numpy arrays between Python 2 and 3

Question

I am trying to load the MNIST dataset linked here in Python 3.2 using this program:

import pickle
import gzip
import numpy


with gzip.open(\'mnist.pkl.gz\',         


        

Answer 1

Try:

l = list(pickle.load(f, encoding='bytes')) #if you are loading image data or 
l = list(pickle.load(f, encoding='latin1')) #if you are loading text data

From the documentation of pickle.load method:

Optional keyword arguments are fix_imports, encoding and errors, which are used to control compatibility support for pickle stream generated by Python 2.

If fix_imports is True, pickle will try to map the old Python 2 names to the new names used in Python 3.

The encoding and errors tell pickle how to decode 8-bit string instances pickled by Python 2; these default to 'ASCII' and 'strict', respectively. The encoding can be 'bytes' to read these 8-bit string instances as bytes objects.