Python: How to read a text file containing co-ordinates in row-column format into x-y co-ordinate arrays?

One method:

x,y = [], []
for l in f:
    row = l.split()
    x.append(row[0])
    y.append(row[1])

where f is the file object (from open() for instance)

You could also use the csv library

import csv
with open('filename','r') as f:
    reader = csv.reader(f,delimeter=' ')
    for row in reader:
        x.append(row[0])
        y.append(row[1])

And you can also use zip to make it more succinct (though possibly less readable:

x,y = zip(*[l.split() for l in f])

where f is the file object, or

import csv
x,y = zip(*csv.reader(f,delimeter=' '))

again where f is the file object. Not that the last two methods will load the entire file into memory (although if you are using python 3 you can use generator expressions and avoid that).

Read it per lines, and split it using split:

with open('f.txt') as f:
    for line in f:
        x, y = line.split()
        #do something meaningful with x and y

Or if you don't mind with storing the whole list to your computer's memory:

with open('f.txt') as f:
    coordinates = [(c for c in line.split()) for line in f]

And if you want to store the xs and ys in separate variables:

xes = []
ys = []
with open('f.txt') as f:
     for line in f:
         x, y = line.split()
         xes.append(x)
         ys.append(y)