""" import TwitterFunctions as tf from collections import defaultdict import random import pickle import re consumer_key = "" consumer_secret = "" access_token = "" access_token_secret = "" #%% #create connection to twitter api auth_api = tf.twitter_connect(consumer_key, consumer_secret, access_token, access_token_secret) #get Hadley's account id hadley = tf.get_user_object("@hadleywickham", auth_api) hadleyid = hadley[0] #%% find all of Hadley's followers level1 = tf.get_follower_ids(hadleyid, auth_api) #returns 74,820 followers #filter out followers who follow >100 or <25 accounts followers = [] #split into batches of 100 for Twitter API requests = [level1[i:i + 100] for i in range(0, len(level1), 100)] for request in requests: users = tf.get_users(request, auth_api) for user in users: if user[3] <= 100 and user[3] >= 25: