On 03/05/13 21:48, Treder, Robert wrote:
I'm very new to python and am trying to figure out how to
> make a corpus from a text file.
Hi, I for one have no idea what a corpus is or looks like
so you will need to help us out a little before we can help you.
I have a csv file (actually pipe '|' delimited) where each
row corresponds to a different text document.
Each row contains a communication note.
> Other columns correspond to categories of types of communications.
I am able to read the csv file and print the notes column as follows:
import csv
with open('notes.txt', 'rb') as infile:
reader = csv.reader(infile, delimiter = '|')
i = 0
for row in reader:
if i <= 25: print row[8]
i = i+1
You don't need to manually manage 'i'.
you could do this instead:
with open('notes.txt', 'rb') as infile:
reader = csv.reader(infile, delimiter = '|')
for count, row in enumerate(reader):
if count <= 25: print row[8] # I assume indented?
else: break # save time if its a big file
I would like to convert this to a categorized corpus with
> some of the other columns corresponding to the categories.
You might be able to use a dictionary but for now
I'm still not clear what you mean. Can you show us
some sample input and output data?
> documentation on how to use csv.reader with PlaintextCorpusReader
never heard of the latter - is it an external module?
HTH
--
Alan G
Author of the Learn to Program web site
http://www.alan-g.me.uk/
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