I\'ve got a Numpy array that I would like to save (130,000 x 3) that I would like to save using Pickle, with the following code. However, I keep getting the error \"EOFError: Ra
I have no problems using pickle
:
In [126]: arr = np.zeros((1000,2))
In [127]: with open('test.pkl','wb') as f:
...: pickle.dump(arr, f)
...:
In [128]: with open('test.pkl','rb') as f:
...: x = pickle.load(f)
...: print(x.shape)
...:
...:
(1000, 2)
pickle
and np.save/load
have a deep reciprocity. Like I can load this pickle with np.load
:
In [129]: np.load('test.pkl').shape
Out[129]: (1000, 2)
If I open the pickle file in the wrong I do get your error:
In [130]: with open('test.pkl','wb') as f:
...: x = pickle.load(f)
...: print(x.shape)
...:
UnsupportedOperation: read
But that shouldn't be surprising - you can't read a freshly opened write file. It will be empty.
np.save/load
is the usual pair for writing numpy arrays. But pickle uses save
to serialize arrays, and save
uses pickle to serialize non-array objects (in the array). Resulting file sizes are similar. Curiously in timings the pickle version is faster.