how I can read the content of the dataset in pkl file and return 67 sparse matrix of type '<class 'numpy.int64'>'in python?

Question

I have a dataset in pkl file, and I write the following code to unpkl the file and read the data

import pickle
f=open("data_cdg.pkl","rb")
a = pickle.load(f)
f.close()
print(a)

but I got in the output 67 sparse matrix of type '<class 'numpy.int64'>' so how I can read the content of the dataset in python?

Orophile · Accepted Answer · 2022-02-04 05:03:43Z

0

There is a read_pickle function as part of pandas 0.22+

import pandas as pd

object = pd.read_pickle("data_cdg.pkl")

answered Feb 4, 2022 at 5:03

Orophile♦

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I got the same result , i need to read the content of data set when i wrote your code i got this output so how I can read the content of data?67x67 sparse matrix of type '<class 'numpy.int64'>' with 132 stored elements in Compressed Sparse Row format>, 39773: <172x172 sparse matrix of type '<class 'numpy.int64'>' with 342 stored elements in Compressed Sparse Row format>, 1396: <17x17 sparse matrix of type '<class 'numpy.int64'>' with 32 stored elements in Compressed Sparse Row format>, 623: <125x125 sparse matrix of type '<class 'numpy.int64'>'
– Alaa Hanbali
Commented Feb 5, 2022 at 12:52

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