I import a txt file with
np.genfromtxt(file_name, dtype='str')
I could for example get the following numpy array
['aaa' 'aaa' 'a']
What i would like to end up with is a numpy array looking like this
[['a', 'a', 'a'], ['a', 'a', 'a'], ['a', 'a', 'a']]
Take in mind, that the text file has only 1 a in the last row, so the script should automatically add another 2 a's to match the longest list in the array.
i've managed to make commas between the 3 strings with
[s.replace(' ', ',') for s in file]
But this doesn't seem to work if i would replace the space with ][.
any suggestions?
Are you looking for something like
str = "'aaa' 'aaa' 'a'"
str2 = str.replace("'a'","'a' 'a' 'a'")
str3 = str2.replace("'aaa' ","'a' 'a' 'a',")
str4 = str3.replace("'aaa'","'a' 'a' 'a',")
my_data2 = [str4.split(',') for x in str4.split('|')]
print(my_data2)
NOTE: Sorry for my basic reply, it's my very first answer. Hope that helped.
EDIT
[s.replace("'a'","'a','a','a'") for s in file] # add 3 'a's at the last one
[s.replace("'aaa' ","'a','a','a' ") for s in file] # split each one of the 3 'aaa's in the first to items
[s.split(" ") for s in file] # create 3 item "'a', 'a', 'a'" list per line
def func(file_name):
arr = np.genfromtxt(file_name, dtype='str')
# this line is in case you omitted the ',' between strings in loaded numpy array from your question
# arr = arr.tolist().split()
l = []
for i in arr:
el = list(i)
while len(el) < 3:
el.append('a')
l.append(el)
return np.array(l)
I hope this is ok for you.
Usig a list comprehension.
Ex:
import numpy as np
data = np.genfromtxt(filename, dtype='str')
mValue = len(max(data, key=lambda x: len(x)))
print([[j for j in i.ljust(mValue, i[0])] for i in data])
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