# This program was written by Simon Mudd

# It is used to demonstrate some properties of file reading and writing

# As well as some properties of numpy arrays and lists

# import the numerical python package

import numpy as np

print "Welcome to the load data file, I am your computer."

print "I am going to try to open the file some_data.csv"

# use this is you want to load this text using numpy

# It is best if the number of data elements in each row is the same!

# my_data = np.loadtxt(fname = 'some_data.csv', delimiter=',')

# this is the standard python way to open a file

f = open('some_data.csv','r')

print "What is f?"

print f

# get all the lines in the file

lines = f.readlines()

print "these are the lines in the file"

print lines

# Now split the line with the comma character.

#

# ~~~~~~~~~~TASK~~~~~~~~~~~~~

#

# See how this differs from simple_load_data2.py

# The code is different but this gets split line from the first row in the file.

split_line = lines[0].split(',')

# the variable split_line is now an array with elements from the first line

print "split line is: "

print split_line

# go through the elements in the first line, printing them to screen

for element in split_line:

num = int(element)

print num