loading tab separated text files with multipled data into arrays in python

Question

I want to load tab separated input file as an array into python and I know that genfromtxt in numpy does that but the problem is that I have multiple sets of data that i would like to be loaded. Basically my sample file could be :
#FILE START
#intensities
11 1 1
0 1 2
#indexes
1 2 3 4 5 6
7 8 9 1 1 2
#FILE END

So i would like to use this file to load the intensities as an array and indexes as another array. I would not like to be aware of the number of rows of intensities before hand but i can put the commentary ("intensities" or [intensities] like in ConfigParser to mark where a section starts or end).

Does there exist something like this or I will have to write something of my own?

Thanks

inspectorG4dget · Accepted Answer · 2011-05-12 22:12:23Z

2

f = open(filepath, 'r')
tags = ["#intensities"]
answer = {}
for line in f:
    if line.strip() in tags: # we've encountered a new tag
        curr = line.strip()[1:]
        answer[curr] = []
    else:
        answer[curr].append(line.strip().split('\t'))

f.close()

Now, answer will look like this:

{'intensities':[['11', '1', '1'], ['0', '1', '2']]}

Hope this helps

answered May 12, 2011 at 22:12

inspectorG4dget

115k30 gold badges159 silver badges253 bronze badges

Sign up to request clarification or add additional context in comments.

1 Comment

I J Over a year ago

Thanks. You made me think that why I just did not code it myself.

Collectives™ on Stack Overflow

loading tab separated text files with multipled data into arrays in python

1 Answer 1

1 Comment

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

1 Comment

Your Answer

Sign up or log in

Post as a guest

Related