I have string final_line as
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0130631958731,0.0,0.0,0.0,0.0,0.0,0.0,0.0130631958731,0.0,0.0,0.0,0.0,0.0,0.0,,
0.00507937313707,0.0,0.0,0.0201058520009,0.0,0.0,0.0459562331449,0.0268078026679,0.0,0.0103772139359,0.0,0.0,0.0438673134565,0.0,0.0268078026679,0.0,0.0,0.0,0.0,0.0,0.0224437417685,,
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.070802847389,0.0,0.0,,
0.0,0.0,0.169140135429,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0261263917462,0.0,0.0,0.0,0.0,0.0,0.0,0.0261263917462,0.0,0.0,0.0,0.0,0.0,0.0,,
0.0961428138228,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
I want to convert it into numpy array for without transferring to CSV file. Here each line in string should be converted to different row as
[['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0.08364751'], ['0.017944717', '0', '0', '0', '0.009470823', '0', '0', '0', '0', '0', '0'], ['0.012620501', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'], ['0.012620501', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'], ['0', '0', '0', '0', '0.01332164', '0', '0', '0', '0', '0', '0'], ['0.012620501', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'], ['0', '0', '0', '0', '0', '0.097414177', '0.042092545', '0', '0', '0', '0'], ['0', '0', '0', '0', '0.01332164', '0', '0', '0', '0', '0', '0'], ['0.005324215', '0', '0', '0.04598186', '0.028100025', '0', '0', '0', '0', '0', '0.023525603'], ['0', '0', '0', '0', '0', '0', '0', '0', '0.055765006', '0', '0'], ['0', '0', '0.133216404', '0', '0', '0', '0', '0', '0', '0', '0']]
I know here output having different values but I have just shown to get the format
Example
I have string as
a1,b1,c1,d1,e1,,
a2,b2,c2,d2,e2,,
a3,b3,c3,d3,e3,,
then output should be
[['a1','b1','c1','d1','e1'],
['a2','b2','c2','d2','e2'],
['a3','b3','c3','d3','e3']]
I have seen other questions but it converts into only single row of array. Here I want every single line in new row as shown in example.
map can be useful in this case. Also, the last ,, in your final list is not necessary so I just ignored it (look at :-2 before split operation).
import numpy as np
A = final_line[:-2].split(',,')
B = np.array([map(float,a.split(',')) for a in A])