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January 31, 2018 07:29
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Map your Twitter followers
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Map Your Twitter Followers\n", | |
"\n", | |
"This notebook shows how to use [tweepy](https://github.com/tweepy/tweepy) module to download information about your Twitter followers, then how to find GPS coordinates of your followers' locations using [googlemaps](https://github.com/googlemaps/google-maps-services-python) module, and, finally, how to plot your followers' locations on an interactive Google Map using [gmaps](https://github.com/pbugnion/gmaps) module.\n", | |
"\n", | |
"## Initialization\n", | |
"\n", | |
"To run this code you will need [Twitter API](https://apps.twitter.com/app/new) and [Google API](https://developers.google.com/maps/documentation/javascript/get-api-key) keys stored as a dictionary\n", | |
"in `twkeys.py` file:\n", | |
"\n", | |
"```\n", | |
"keys = dict(\n", | |
" screen_name = 'your_twitter_user_name',\n", | |
" consumer_key = 'XXXXXXXXXXXXXXXXXXXXXXXXX',\n", | |
" consumer_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',\n", | |
" access_token = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',\n", | |
" access_token_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',\n", | |
" google_api_key = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',\n", | |
")\n", | |
"```\n", | |
"\n", | |
"If you have more than 500 followers I recommend to split the job into several batches. Otherwise, you may hit APIs limit for the number of requests." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import tweepy # twitter API\n", | |
"import googlemaps # Google Maps API\n", | |
"import gmaps # Google maps for Jupyter notebooks\n", | |
"from datetime import datetime\n", | |
"from collections import Counter" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# twkeys.py file contains Twitter API and Google API keys\n", | |
"# Get Twitter API keys from https://apps.twitter.com/app/new\n", | |
"# Get Google API key from https://developers.google.com/maps/documentation/javascript/get-api-key\n", | |
"from twkeys import keys\n", | |
" \n", | |
"SCREEN_NAME = keys['screen_name']\n", | |
"CONSUMER_KEY = keys['consumer_key']\n", | |
"CONSUMER_SECRET = keys['consumer_secret']\n", | |
"ACCESS_TOKEN = keys['access_token']\n", | |
"ACCESS_TOKEN_SECRET = keys['access_token_secret']\n", | |
"\n", | |
"auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)\n", | |
"auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)\n", | |
"api = tweepy.API(auth)\n", | |
"\n", | |
"GOOGLE_API_KEY = keys['google_api_key']\n", | |
"\n", | |
"geoloc = googlemaps.Client(key = GOOGLE_API_KEY)\n", | |
"gmaps.configure(api_key=GOOGLE_API_KEY)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"collapsed": true | |
}, | |
"source": [ | |
"## Getting the list of followers with Tweepy\n", | |
"\n", | |
"First, we acquired followers' ids. For each of them, we request a user information (incl. the location). Totally, we have found the locations of 1820 followers." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# get list of followers' ids\n", | |
"followers = api.followers_ids(SCREEN_NAME)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 40, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# get locations of our followers\n", | |
"# warning: you might run into problems with Twitter API quotas\n", | |
"for i in xrange(len(followers)):\n", | |
" u = api.get_user(followers[i])\n", | |
" loc = u.location\n", | |
" name = u.screen_name\n", | |
" locations.append({'id': followers[i], \"screen_name\": name, \"address\": loc})" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"1820\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/plain": [ | |
"[u'Colorado, USA',\n", | |
" u'Nairobi, Kenya',\n", | |
" u'Brno, Czech Republic',\n", | |
" u'Austin, TX',\n", | |
" u'Kenya',\n", | |
" u'La Coru\\xf1a',\n", | |
" u'Nepal',\n", | |
" u'Berlin, Germany',\n", | |
" u'Accra,Ghana',\n", | |
" u'Chennai, India']" | |
] | |
}, | |
"execution_count": 5, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# how many locations do we have?\n", | |
"addresses = [x['address'] for x in locations if x['address'] != \"\"]\n", | |
"print(len(addresses))\n", | |
"addresses[:10]" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Geocoding\n", | |
"\n", | |
"To find GPS coordinates corresponding to each address, we have used [googlemaps](https://github.com/googlemaps/google-maps-services-python) module. We were able to identify GPS positions for 1724 followers coming from 96 different countries.\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# needs ~10 minutes to run\n", | |
"for i in range(len(locations)):\n", | |
" if locations[i]['address'] != \"\":\n", | |
" locations[i]['gps'] = geoloc.geocode(locations[i]['address'])\n", | |
" else:\n", | |
" locations[i]['gps'] = None" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"1724" | |
] | |
}, | |
"execution_count": 12, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# how many followers can be geolocated?\n", | |
"markers = [x['gps'][0]['geometry']['location'] for x in locations if x['gps'] is not None and len(x['gps']) > 0]\n", | |
"len(markers)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": { | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"96\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/plain": [ | |
"Counter({u'Albania': 1,\n", | |
" u'Algeria': 3,\n", | |
" u'Angola': 2,\n", | |
" u'Argentina': 16,\n", | |
" u'Australia': 23,\n", | |
" u'Austria': 6,\n", | |
" u'Bangladesh': 51,\n", | |
" u'Belgium': 13,\n", | |
" u'Bolivia': 1,\n", | |
" u'Bosnia and Herzegovina': 2,\n", | |
" u'Brazil': 52,\n", | |
" u'Bulgaria': 3,\n", | |
" u'Canada': 29,\n", | |
" u'Chile': 8,\n", | |
" u'China': 37,\n", | |
" u'Colombia': 14,\n", | |
" u'Costa Rica': 1,\n", | |
" u'Cuba': 1,\n", | |
" u'Cyprus': 1,\n", | |
" u'Czechia': 46,\n", | |
" u'Denmark': 8,\n", | |
" u'Ecuador': 4,\n", | |
" u'Egypt': 10,\n", | |
" u'Estonia': 1,\n", | |
" u'Finland': 5,\n", | |
" u'France': 40,\n", | |
" u'Germany': 76,\n", | |
" u'Ghana': 6,\n", | |
" u'Greece': 5,\n", | |
" u'Guatemala': 6,\n", | |
" u'Hong Kong': 6,\n", | |
" u'Hungary': 1,\n", | |
" u'India': 173,\n", | |
" u'Indonesia': 8,\n", | |
" u'Iran': 13,\n", | |
" u'Iraq': 2,\n", | |
" u'Ireland': 11,\n", | |
" u'Israel': 6,\n", | |
" u'Italy': 17,\n", | |
" u'Jamaica': 1,\n", | |
" u'Japan': 9,\n", | |
" u'Jordan': 1,\n", | |
" u'Kenya': 14,\n", | |
" u'Kuwait': 1,\n", | |
" u'Latvia': 1,\n", | |
" u'Lebanon': 2,\n", | |
" u'Lithuania': 2,\n", | |
" u'Luxembourg': 1,\n", | |
" u'Macedonia (FYROM)': 2,\n", | |
" u'Malaysia': 2,\n", | |
" u'Mauritius': 1,\n", | |
" u'Mexico': 27,\n", | |
" u'Mongolia': 2,\n", | |
" u'Morocco': 1,\n", | |
" u'Nepal': 8,\n", | |
" u'Netherlands': 26,\n", | |
" u'New Zealand': 5,\n", | |
" u'Nicaragua': 2,\n", | |
" u'Nigeria': 16,\n", | |
" u'Norway': 1,\n", | |
" u'Pakistan': 1,\n", | |
" u'Paraguay': 1,\n", | |
" u'Peru': 2,\n", | |
" u'Philippines': 8,\n", | |
" u'Poland': 17,\n", | |
" u'Portugal': 9,\n", | |
" u'Puerto Rico': 1,\n", | |
" u'Qatar': 2,\n", | |
" u'Romania': 8,\n", | |
" u'Russia': 23,\n", | |
" u'Saudi Arabia': 1,\n", | |
" u'Senegal': 2,\n", | |
" u'Serbia': 3,\n", | |
" u'Singapore': 7,\n", | |
" u'Slovakia': 4,\n", | |
" u'Slovenia': 1,\n", | |
" u'South Africa': 11,\n", | |
" u'South Korea': 3,\n", | |
" u'Spain': 62,\n", | |
" u'Sri Lanka': 1,\n", | |
" u'Sweden': 9,\n", | |
" u'Switzerland': 9,\n", | |
" u'Taiwan': 10,\n", | |
" u'Thailand': 3,\n", | |
" u'Togo': 1,\n", | |
" u'Tunisia': 3,\n", | |
" u'Turkey': 16,\n", | |
" u'Uganda': 2,\n", | |
" u'Ukraine': 12,\n", | |
" u'United Arab Emirates': 7,\n", | |
" u'United Kingdom': 94,\n", | |
" u'United States': 514,\n", | |
" u'Uruguay': 3,\n", | |
" u'Venezuela': 14,\n", | |
" u'Vietnam': 12,\n", | |
" u'Zimbabwe': 3})" | |
] | |
}, | |
"execution_count": 13, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# how many countries?\n", | |
"from collections import Counter\n", | |
"tmp = [x['gps'][0]['address_components'] for x in locations if x['gps'] is not None and len(x['gps'])>0]\n", | |
"countries = [item['long_name'] for sublist in tmp for item in sublist if item['types'][0] == \"country\"]\n", | |
"x = Counter(countries)\n", | |
"print(len(x))\n", | |
"x" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# save everything to a file\n", | |
"\n", | |
"import gzip, cPickle\n", | |
"with gzip.open('tmp.gz','wb') as f:\n", | |
" cPickle.dump(locations, f, 2)\n", | |
"\n", | |
"# can be loaded as follows\n", | |
"# with gzip.open('tmp.gz','rb') as f:\n", | |
"# locations = cPickle.load(f)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Google Map\n", | |
"\n", | |
"There are several ways how to create an interactive Google map from GPS coordinates. With the module [gmaps](https://github.com/pbugnion/gmaps), you can do it directly in your Jupyter Notebook." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 15, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# reshape data for Google Maps (expected nput: list of tuples)\n", | |
"gpspos = list()\n", | |
"for x in locations:\n", | |
" if x['gps'] is not None and len(x['gps'])>0:\n", | |
" gpspos.append((x['gps'][0]['geometry']['location']['lat'], x['gps'][0]['geometry']['location']['lng'])) " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 17, | |
"metadata": {}, | |
"outputs": [ | |
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"<p>Failed to display Jupyter Widget of type <code>Map</code>.</p>\n", | |
"<p>\n", | |
" If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", | |
" that the widgets JavaScript is still loading. If this message persists, it\n", | |
" likely means that the widgets JavaScript library is either not installed or\n", | |
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" Widgets Documentation</a> for setup instructions.\n", | |
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" If you're reading this message in another frontend (for example, a static\n", | |
" rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n", | |
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}, | |
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} | |
], | |
"source": [ | |
"# create the plot\n", | |
"fig = gmaps.Map()\n", | |
"followers_layer = gmaps.symbol_layer(gpspos, fill_color=\"green\", stroke_color=\"green\", scale=2)\n", | |
"fig.add_layer(followers_layer)\n", | |
"fig" | |
] | |
} | |
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