pull_data.ipynb

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   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'ipykernel.pylab'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-21-1aab0588fcc0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtweepy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mtw\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/first-amendment-twitter/lib/python3.7/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m   2353\u001b[0m     \u001b[0mdict\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__setitem__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"backend\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrcsetup\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_auto_backend_sentinel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2354\u001b[0m \u001b[0;31m# Set up the backend.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2355\u001b[0;31m \u001b[0mswitch_backend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"backend\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2356\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2357\u001b[0m \u001b[0;31m# Just to be safe.  Interactive mode can be turned on without\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/first-amendment-twitter/lib/python3.7/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mswitch_backend\u001b[0;34m(newbackend)\u001b[0m\n\u001b[1;32m    219\u001b[0m         else \"matplotlib.backends.backend_{}\".format(newbackend.lower()))\n\u001b[1;32m    220\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 221\u001b[0;31m     \u001b[0mbackend_mod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimportlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimport_module\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbackend_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    222\u001b[0m     Backend = type(\n\u001b[1;32m    223\u001b[0m         \"Backend\", (matplotlib.backends._Backend,), vars(backend_mod))\n",
      "\u001b[0;32m~/miniconda3/envs/first-amendment-twitter/lib/python3.7/importlib/__init__.py\u001b[0m in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m    125\u001b[0m                 \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    126\u001b[0m             \u001b[0mlevel\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_bootstrap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_gcd_import\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpackage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'ipykernel.pylab'"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import tweepy as tw\n",
    "import pandas as pd\n",
    "import numpy\n",
    "import csv\n",
    "import config\n",
    "\n",
    "auth = tw.OAuthHandler(config.consumer_key, config.consumer_secret)\n",
    "auth.set_access_token(config.access_token, config.access_token_secret)\n",
    "api = tw.API(auth, wait_on_rate_limit=True)\n",
    "\n",
    "# Define the search term and the date_since date as variables\n",
    "search_words = \"#firstamendment\"\n",
    "date_since = \"2019-10-10\"\n",
    "\n",
    "# Collect tweets\n",
    "tweets = tw.Cursor(api.search,\n",
    "              q=search_words,\n",
    "              lang=\"en\",\n",
    "              since=date_since).items(1000)\n",
    "\n",
    "with open('tweets-11-11.csv', 'w', newline='') as f:\n",
    "    count = 0\n",
    "    writer = csv.writer(f)\n",
    "    writer.writerow(['created at', 'text', 'retweets', 'likes', 'follows trump', 'follows clinton'])\n",
    "    for tweet in tweets:\n",
    "        count = count+1\n",
    "        print(count)\n",
    "        follow_trump = api.show_friendship(tweet.user.id_str, tweet.user.screen_name, '25073877', 'realDonaldTrump')[0].following\n",
    "        follow_clinton = api.show_friendship(tweet.user.id_str, tweet.user.screen_name, '1339835893', 'HillaryClinton')[0].following\n",
    "\n",
    "        writer.writerow([tweet.created_at, tweet.text.replace(',', '').encode('utf-8'), tweet.retweet_count, tweet.favorite_count, follow_trump, follow_clinton])\n",
    "    "
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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