If we print a numpy array, which actually use str(), we will find it almost irreversible.

In [5]:

l=arange(16).reshape(4,4)
print('l is printed as:\n', l)

l is printed as:
 [[ 0  1  2  3]
 [ 4  5  6  7]
 [ 8  9 10 11]
 [12 13 14 15]]

Use print() will fallback to str(), so str() is not the correct way.

repr()
.tolist()

In [77]:

print('Array Form:\n', repr(l))
print('List form:\n', l.tolist())

Array Form:
 array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [ 8,  9, 10, 11],
       [12, 13, 14, 15]])
List form:
 [[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15]]

# Recover your fault

If you really need to convert the array string separated by spaces into python, here is a remedy str2array():

In [21]:

import re
import ast
def array2str(arr, precision=None):
    s=array_str(arr, precision=precision)
    return s.replace('\n', ',')

def str2array(s):
    # Remove space after [
    s=re.sub('\[ +', '[', s.strip())
    # Replace commas and spaces
    s=re.sub('[,\s]+', ', ', s)
    return array(ast.literal_eval(s))

In [20]:

str2array(array2str(sqrt(l), 3))

Out[20]:

array([[ 0.   ,  1.   ,  1.414,  1.732],
       [ 2.   ,  2.236,  2.449,  2.646],
       [ 2.828,  3.   ,  3.162,  3.317],
       [ 3.464,  3.606,  3.742,  3.873]])

Convert str(array) back to numpy array

# Recover your fault

Comments