On 14/05/2015 00:24, 20/20 Lab wrote:
I'm a beginner to python. Reading here and there. Written a couple of
short and simple programs to make life easier around the office.
Welcome :)
That being said, I'm not even sure what I need to ask for. I've never
worked with external data before.
I have a LARGE csv file that I need to process. 110+ columns, 72k
rows. I managed to write enough to reduce it to a few hundred rows, and
the five columns I'm interested in.
Now is were I have my problem:
myList = [ [123, "XXX", "Item", "Qty", "Noise"],
[72976, "YYY", "Item", "Qty", "Noise"],
[123, "XXX" "ItemTypo", "Qty", "Noise"] ]
Basically, I need to check for rows with duplicate accounts row[0] and
staff (row[1]), and if so, remove that row, and add it's Qty to the
original row. I really dont have a clue how to go about this. The
number of rows change based on which run it is, so I couldnt even get
away with using hundreds of compare loops.
If someone could point me to some documentation on the functions I would
need, or a tutorial it would be a great help.
Thank you.
Check this out http://pandas.pydata.org/
--
My fellow Pythonistas, ask not what our language can do for you, ask
what you can do for our language.
Mark Lawrence
--
https://mail.python.org/mailman/listinfo/python-list
