Python: Split numpy array

Question

I have an array produced by numpy which looks as follows:

[ 54.51399994 -12.10200024 -11.88099957]
[ 56.23899841 -8.30799961 -2.03500009]

How do i convert this to a list? So it looks as follows:

['54.51399994','-12.10200024','-11.88099957']
['56.23899841','-8.30799961','-2.03500009']

why do you have quotation in the second ones? Do you want to convert from number to string? — yosukesabai
– yosukesabai, Commented Nov 2, 2011 at 11:38
If you are dumping the array to a file, use np.savetxt. You do not need to do this conversion yourself! — unutbu
– unutbu, Commented Nov 2, 2011 at 11:44

unutbu · Accepted Answer · 2011-11-02 11:38:35Z

5

You could use astype() to create a new array of string dtype:

import numpy as np
arr=np.array([
    ( 54.51399994, -12.10200024, -11.88099957),
    ( 56.23899841, -8.30799961, -2.03500009)])
print(arr.astype('|S10'))

yields

[['54.51399994', '-12.10200024', '-11.88099957'], ['56.23899841', '-8.30799961', '-2.03500009']]

answered Nov 2, 2011 at 11:38

unutbu

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1 Comment

unutbu Over a year ago

When you print a numpy array, it nicely formats the array without the commas. When you define the array with np.array, you have to use commas to separate the items in the tuples. So, yes, the arr.astype('|S10') should work on your array.

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