Algorithm that parses through input of points and finds distance I'm wondering if someone could take some time to review this script. I'm parsing through a list of points of any length and calculating the distance. I'm wondering how to make my code better/more efficient (something I'm working on). A sample input file would be like so: 

300.754178236262248 103.453277023380423 0,276.62980277988612 90.123295023340319 0,269.345711570634421 103.319531391674346 0,293.447811515317824 116.649513392506364 0,300.754178236262248 103.453277023380423 0


I'm not sure why the zeros are there; these are from the spacenet label csv's. 

And this is my code: 

import math

def calc(x1, y1, x2, y2):
    dist = math.sqrt((x2-x1)**2 + (y2-y1)**2)
    return dist 

li = []
res = []
with open("/Users/jin/points.txt") as filestream: 
    for line in filestream:
        temp = line.split(",") #splits by the comma in a single list 

        for i in temp:
            temp = i.split(" ") #splits by spaces to individual lists of points 
            li.append(temp) #list of lists containing each point 
    # for item in li: 
    #   x1 = item[1]
    #   y1 = item[0]

    # for item in li: 
    #   for pt in item: 
    #       print pt

    for index in range(len(li)-1): 
        one = li[index]
        two = li[index+1]
        x1 = float(one[0])
        y1 = float(one[1])
        x2 = float(two[0])
        y2 = float(two[1])
        res.append(calc(x1, y1, x2, y2))
    print res
Choose a better name than calc(). Something like distance() or euclidean_distance().
There is no need for the variable temp, just write
for i in line.split(",")
The for i in temp loop can be written more simply as:

li.extend(i.split() for i in temp)

Remove all commented out code that you don't immediately need.
The for index in range(len(li)-1): doesn't need to be in the with statement, as it is not using filestream.
res can be calculated as part of the for i in temp: loop and avoid li altogether.