I have a regular list filled with strings of equal length:
['FADVAG', 'XXDXFA', 'GDXX..']
I want to transform it into a 2d numpy array, like the following:
[['F' 'A' 'D' 'V' 'A' 'G']
['X' 'X' 'D' 'X' 'F' 'A']
['G' 'D' 'X' 'X' '.' '.']]
How can I do that?
list('astring') splits up the characters:
In [187]: alist=['FADVAG', 'XXDXFA', 'GDXX..']
In [188]: arr = np.array([list(a) for a in alist])
In [189]: arr
Out[189]:
array([['F', 'A', 'D', 'V', 'A', 'G'],
['X', 'X', 'D', 'X', 'F', 'A'],
['G', 'D', 'X', 'X', '.', '.']],
dtype='<U1')
If you want to avoid a list comprehension, join them into one string and go from there
np.array(list(''.join(alist))).reshape(3,-1)
(3,-1) - 3 rows, -1 means what ever works. Short hand for calculate the remaining dimension.try below code:
import numpy as np
l = ['FADVAG', 'XXDXFA', 'GDXX..']
l = np.array(l)
l.reshape(len(l),-1)
output:
array([['FADVAG'],
['XXDXFA'],
['GDXX..']],
dtype='<U6')
