Hi all,
Thanks to Hans, I have had a good progress on my problem.
Followings are Hans's Idea:
import numpy as np
b = []
c = 4
f = open("text.file", "r")
while c < 10:
c = c + 1
f.seek(0,0)
for columns in ( raw.strip().split() for raw in f ):
b.append(columns[c])
y = np.array(b, float)
print c, y
It's a bit inefficient to read the same file several times.
You might consider reading it just once. For example:
import numpy as np
b = []
f = open("text.file", "r")
data = [ line.strip().split() for line in f ]
f.close()
for c in xrange(5, 11):
for row in data:
b.append(row[c])
y = np.array(b, float)
print c, y
-------------------------------------------------------------------------------
It is a great idea, but I found some problems. I want each individual array of
y. However, these two codes prodce accumulated array such as [1,2,3],
[1,2,3,4,5,6], [1,2,3,4,5,6,7,8,9] and so on. I have tried to initialize for
loop for each time to produce array. This effort has not been very successful.
Do you guys have any idea? I will really appreciate ant help and idea.
Thanks,
Isaac
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