How to Unpack Pkl File

How to unpack pkl file?


Your pkl file is, in fact, a serialized pickle file, which means it has been dumped using Python's pickle module.

To un-pickle the data you can:

import pickle

with open('serialized.pkl', 'rb') as f:
data = pickle.load(f)
For the MNIST data set

Note gzip is only needed if the file is compressed:

import gzip
import pickle

with'mnist.pkl.gz', 'rb') as f:
train_set, valid_set, test_set = pickle.load(f)

Where each set can be further divided (i.e. for the training set):

train_x, train_y = train_set

Those would be the inputs (digits) and outputs (labels) of your sets.

If you want to display the digits:

import as cm
import matplotlib.pyplot as plt

plt.imshow(train_x[0].reshape((28, 28)), cmap=cm.Greys_r)


The other alternative would be to look at the original data:

But that will be harder, as you'll need to create a program to read the binary data in those files. So I recommend you to use Python, and load the data with pickle. As you've seen, it's very easy. ;-)

How to open a .pkl file

So I figured out why @wundermahn asked about scikit-learn. It seems my model.pkl files were generated by joblib and not exactly pickle library. This is why it wouldn't work apparently. It changed my code by replacing pickle.load() by joblid.load() and it works better !

Thank you !

Merge all file .pkl to one file .pkl Python3

If you have dictionari file, just load it in 1 variable then convert to pkl data.

import os
import pickle

db = {}
for filename in os.listdir(folder):
if filename.endswith('.pkl'):
myfile = open(folder+filename,"rb")
db[os.path.splitext(filename)[0]]= pickle.load(myfile)

myfile = open("merge/merge.pkl","wb")
pickle.dump(db, myfile)

Finally, i solved my problem. Thanks to my friend.

How to read pickle file?

Pickle serializes a single object at a time, and reads back a single object -
the pickled data is recorded in sequence on the file.

If you simply do pickle.load you should be reading the first object serialized into the file (not the last one as you've written).

After unserializing the first object, the file-pointer is at the beggining
of the next object - if you simply call pickle.load again, it will read that next object - do that until the end of the file.

objects = []
with (open("myfile", "rb")) as openfile:
while True:
except EOFError:

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