how to read array of numbers from text file in python

Question

I have written code as:

array = [[1.630217208498539], [0.019929319226538452]] 
fo = open("file.txt", "w")
fo.write(str(array))
fo.close()

That will save the array in .txt file, the content in the .txt file is in 2d array as:

[[1.630217208498539], [0.019929319226538452]]

And I want this array as it is back to the another program so that i can use this array for further calculation (the read array should not be a string)

The term for what you're looking for is "serialization", and python provides many ways to do that, the most popular being pickle (for native python data) and json (for cross-platform data). — georg
– georg, Commented Feb 18, 2014 at 9:32

Avinash Garg · Accepted Answer · 2014-02-18 07:20:13Z

2

 import pickle

 numlist = [[1.630217208498539], [0.019929319226538452]] 

 outfile = open("log.txt", "wb")

 pickle.dump(numlist, outfile)

 outfile.close()

 infile = open("log.txt", "rb")

 pickle.load(infile)
 [[1.630217208498539], [0.019929319226538452]]

answered Feb 18, 2014 at 7:20

Avinash Garg

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2 Comments

georg Over a year ago

"accept it" is hardly acceptable

lkkkk Over a year ago

@Avinash Garg yes it is working but in txt file it is not loading in proper array pattern, it is showing as:(lp0 (lp1 F1.630217208498539 aa(lp2 F0.019929319226538452 aa. is there any way to correct it

zhangxaochen · Accepted Answer · 2014-02-18 07:31:35Z

0

use ast.literal_eval(node_or_string) to evalute the string expression:

In [238]: import ast

In [241]: my_array=ast.literal_eval('[[1.630217208498539], [0.019929319226538452]]')

In [242]: my_array
Out[242]: [[1.630217208498539], [0.019929319226538452]]

answered Feb 18, 2014 at 7:31

zhangxaochen

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