This summarizes the salary of NBA players. Eventually, I will compare the salary to the player efficiency rating.

lin_nba_player_salary_stats.py

__author__ = 'Linwood Creekmore'

## Wrote this for Software Engineering for Data Class ##
## My first solo creation

import csv


f = open('nba_players.csv')
csv_f = csv.reader(f)

lst = []
lst2 = []
for row in csv_f:
    lst.append(row[18])
    lst2.append(row[12])
    #print row

print lst2
per = lst2[1:]
new_list = lst[1:]
per = map(float, per)
new_list = map(int, new_list)
print per
half = len(new_list) / 2
per.sort()
new_list.sort()
if len(new_list) % 2 == 0:
    print "The median NBA salary is $%r " % (new_list[half - 1] + new_list[half]) / 2.0
else:
    print "The median NBA salary is $%r " % new_list[half]
weird = len(new_list)
mean = sum(new_list) / weird
from collections import Counter

data = Counter(new_list)
data.most_common()  # Returns all unique items and their counts
print "The mode is $ %r " % data.most_common(1)  # Returns the highest occurring item
print "The minimum NBA salary is $%r ." % min(new_list)
print "The maximum NBA salary is $%r . " % max(new_list)
print "The mean or average NBA salary is $%r !.  Wow, that's a lot of money" % mean