In [16]:

    

import requests


    

In [6]:

    

def my_mean(input_list):
    list_sum = 0
    list_count = 0
    for el in input_list:
        list_sum += int(el)
        list_count += 1
    return list_sum / list_count


    

In [7]:

    

def nonesorter(a):
    if not a:
        return 0
    return int(a)

def my_median(input_list):
    wc_list.sort()
    list_length = len(input_list)
    return wc_list[int(list_length/2)]


    

In [8]:

    

api_key = "ffaf60d7d82258e112dd4fb2b5e4e2d6:3:72421680"


    

In [9]:

    

url = "http://api.nytimes.com/svc/search/v2/articlesearch.json?q=gay+marriage&api-key=%s" % api_key


    

In [10]:

    

r = requests.get(url)


    

In [11]:

    

wc_list = []
for article in r.json()['response']['docs']:
    if article['word_count']:
        wc_list.append(int(article['word_count']))


    

In [12]:

    

my_mean(wc_list)


    

    
Out[12]:





720.7777777777778

In [15]:

    

import numpy as np


    

In [14]:

    

np.mean(wc_list)


    

    
Out[14]:





720.77777777777783

In [17]:

    

my_median(wc_list)


    

    
Out[17]:





684

In [18]:

    

np.median(wc_list)


    

    
Out[18]:





684.0

In [ ]: