demo/TumblrDemo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using GraphiPy to extract data from Tumblr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from graphipy.graphipy import GraphiPy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create GraphiPy object (default to Pandas)\n",
    "graphipy = GraphiPy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating the Tumblr Object\n",
    "\n",
    "GraphiPy's Tumblr object needs CONSUMER_KEY, CONSUMER_SECRET, OAUTH_TOKEN, and OAUTH_SECRET in order to connect to Tumblr's API:\n",
    "- To get the keys and the tokens, go to https://api.tumblr.com/console"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The tumblr API needs these credentials\n",
    "CONSUMER_KEY = ''\n",
    "CONSUMER_SECRET = ''\n",
    "OAUTH_TOKEN = ''\n",
    "OAUTH_SECRET = ''\n",
    "tumblr_api_credentials = {\n",
    "    \"consumer_key\": CONSUMER_KEY,\n",
    "    \"consumer_secret\": CONSUMER_SECRET,\n",
    "    \"oauth_token\": OAUTH_TOKEN,\n",
    "    \"oauth_secret\": OAUTH_SECRET\n",
    "}\n",
    "\n",
    "# create the tumblr object\n",
    "tumblr = graphipy.get_tumblr(tumblr_api_credentials)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find Posts by a Tag\n",
    "\n",
    "### def fetch_posts_tagged(self, graph, tag, limit=20, before=0, filter=\"\")\n",
    "\n",
    "Optional parameters:\n",
    "- limit: the number of results to return: 1–20, inclusive\n",
    "- before: retrieve posts before the specified timestamp\n",
    "\n",
    "Types of nodes returned:\n",
    "- blog\n",
    "- post\n",
    "\n",
    "Types of edge returned:\n",
    "- PUBLISHED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "keyword = \"python\"\n",
    "\n",
    "# Every function call modifies the graph that is sent as input\n",
    "# tagged_posts = graphipy.create_graph()\n",
    "# tumblr.fetch_posts_tagged(graph=tagged_posts, tag=keyword, limit=3)\n",
    "\n",
    "# However, it also returns the graph modified so you can assign it to other variables like so:\n",
    "tagged_posts = tumblr.fetch_posts_tagged(graph=graphipy.create_graph(), tag=keyword, limit=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['post', 'blog'])\n"
     ]
    }
   ],
   "source": [
    "# To get the list of available nodes\n",
    "# There're posts and blogs in this case\n",
    "print(tagged_posts.get_nodes().keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# You can get the dataframe from Pandas by specifying the node\n",
    "tagged_posts_df = tagged_posts.get_df(\"post\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>post_url</th>\n",
       "      <th>slug</th>\n",
       "      <th>date</th>\n",
       "      <th>timestamp</th>\n",
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       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'pythonprogrammingthings', ...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Python Web Development&lt;br&gt;\n",
       "☞ &lt;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>180164743852</td>\n",
       "      <td>180164743852</td>\n",
       "      <td>post</td>\n",
       "      <td>photo</td>\n",
       "      <td>awesomecodetutorials</td>\n",
       "      <td>https://awesomecodetutorials.tumblr.com/post/1...</td>\n",
       "      <td>django-for-beginners-the-ultimate-course-for-web</td>\n",
       "      <td>2018-11-16 07:13:08 GMT</td>\n",
       "      <td>1542352388</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;p&gt;Django for Beginners: The Ultimate Course f...</td>\n",
       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'awesomecodetutorials', 'ac...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Django for Beginners: The Ulti...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>180163457804</td>\n",
       "      <td>180163457804</td>\n",
       "      <td>post</td>\n",
       "      <td>photo</td>\n",
       "      <td>pythonprogrammingthings</td>\n",
       "      <td>https://pythonprogrammingthings.tumblr.com/pos...</td>\n",
       "      <td>complete-python-web-course-build-8-python-web</td>\n",
       "      <td>2018-11-16 06:11:22 GMT</td>\n",
       "      <td>1542348682</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;p&gt;Complete Python Web Course: Build 8 Python ...</td>\n",
       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'pythonprogrammingthings', ...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Complete Python Web Course: Bu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>180161391356</td>\n",
       "      <td>180161391356</td>\n",
       "      <td>post</td>\n",
       "      <td>photo</td>\n",
       "      <td>pythonprogrammingthings</td>\n",
       "      <td>https://pythonprogrammingthings.tumblr.com/pos...</td>\n",
       "      <td>complete-python-bootcamp-go-from-zero-to-hero-in</td>\n",
       "      <td>2018-11-16 04:49:46 GMT</td>\n",
       "      <td>1542343786</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;p&gt;Complete Python Bootcamp: Go from zero to h...</td>\n",
       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'pythonprogrammingthings', ...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Complete Python Bootcamp: Go f...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Id         Label label_attribute   type                blog_name  \\\n",
       "0  180165261089  180165261089            post  photo          djangodeveloper   \n",
       "1  180165127266  180165127266            post  photo  pythonprogrammingthings   \n",
       "2  180164743852  180164743852            post  photo     awesomecodetutorials   \n",
       "3  180163457804  180163457804            post  photo  pythonprogrammingthings   \n",
       "4  180161391356  180161391356            post  photo  pythonprogrammingthings   \n",
       "\n",
       "                                            post_url  \\\n",
       "0  https://djangodeveloper.tumblr.com/post/180165...   \n",
       "1  https://pythonprogrammingthings.tumblr.com/pos...   \n",
       "2  https://awesomecodetutorials.tumblr.com/post/1...   \n",
       "3  https://pythonprogrammingthings.tumblr.com/pos...   \n",
       "4  https://pythonprogrammingthings.tumblr.com/pos...   \n",
       "\n",
       "                                               slug                     date  \\\n",
       "0  practical-python-regular-expressions-with-python  2018-11-16 07:40:22 GMT   \n",
       "1           python-web-development-httpbitly2pxgkip  2018-11-16 07:33:10 GMT   \n",
       "2  django-for-beginners-the-ultimate-course-for-web  2018-11-16 07:13:08 GMT   \n",
       "3     complete-python-web-course-build-8-python-web  2018-11-16 06:11:22 GMT   \n",
       "4  complete-python-bootcamp-go-from-zero-to-hero-in  2018-11-16 04:49:46 GMT   \n",
       "\n",
       "    timestamp      state                        ...                          \\\n",
       "0  1542354022  published                        ...                           \n",
       "1  1542353590  published                        ...                           \n",
       "2  1542352388  published                        ...                           \n",
       "3  1542348682  published                        ...                           \n",
       "4  1542343786  published                        ...                           \n",
       "\n",
       "  note_count can_like can_reblog can_send_in_message can_reply display_avatar  \\\n",
       "0          0     True       True                True      True           True   \n",
       "1          0     True       True                True      True           True   \n",
       "2          1     True       True                True      True           True   \n",
       "3          0     True       True                True      True           True   \n",
       "4          1     True       True                True      True           True   \n",
       "\n",
       "                                             caption  \\\n",
       "0  <p>Practical Python - Regular Expressions With...   \n",
       "1  <p>Python Web Development<br/>\\n☞ <a href=\"htt...   \n",
       "2  <p>Django for Beginners: The Ultimate Course f...   \n",
       "3  <p>Complete Python Web Course: Build 8 Python ...   \n",
       "4  <p>Complete Python Bootcamp: Go from zero to h...   \n",
       "\n",
       "                                              photos  \\\n",
       "0  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "1  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "2  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "3  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "4  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "\n",
       "                                               trail  \\\n",
       "0  [{'blog': {'name': 'djangodeveloper', 'active'...   \n",
       "1  [{'blog': {'name': 'pythonprogrammingthings', ...   \n",
       "2  [{'blog': {'name': 'awesomecodetutorials', 'ac...   \n",
       "3  [{'blog': {'name': 'pythonprogrammingthings', ...   \n",
       "4  [{'blog': {'name': 'pythonprogrammingthings', ...   \n",
       "\n",
       "                                              reblog  \n",
       "0  {'comment': '<p>Practical Python - Regular Exp...  \n",
       "1  {'comment': '<p>Python Web Development<br>\n",
       "☞ <...  \n",
       "2  {'comment': '<p>Django for Beginners: The Ulti...  \n",
       "3  {'comment': '<p>Complete Python Web Course: Bu...  \n",
       "4  {'comment': '<p>Complete Python Bootcamp: Go f...  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tagged_posts_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                                                            180165261089\n",
       "Label                                                         180165261089\n",
       "label_attribute                                                       post\n",
       "type                                                                 photo\n",
       "blog_name                                                  djangodeveloper\n",
       "post_url                 https://djangodeveloper.tumblr.com/post/180165...\n",
       "slug                      practical-python-regular-expressions-with-python\n",
       "date                                               2018-11-16 07:40:22 GMT\n",
       "timestamp                                                       1542354022\n",
       "state                                                            published\n",
       "format                                                                html\n",
       "reblog_key                                                        Jt5GNxTp\n",
       "tags                     [python, python tutorial, python development, ...\n",
       "short_url                                   https://tmblr.co/ZqDYEa2dohxSX\n",
       "summary                  Practical Python - Regular Expressions With Py...\n",
       "is_blocks_post_format                                                False\n",
       "recommended_source                                                    None\n",
       "recommended_color                                                     None\n",
       "followed                                                             False\n",
       "liked                                                                False\n",
       "note_count                                                               0\n",
       "can_like                                                              True\n",
       "can_reblog                                                            True\n",
       "can_send_in_message                                                   True\n",
       "can_reply                                                             True\n",
       "display_avatar                                                        True\n",
       "caption                  <p>Practical Python - Regular Expressions With...\n",
       "photos                   [{'caption': '', 'original_size': {'url': 'htt...\n",
       "trail                    [{'blog': {'name': 'djangodeveloper', 'active'...\n",
       "reblog                   {'comment': '<p>Practical Python - Regular Exp...\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show the attributes of this node\n",
    "tagged_posts_df.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['published'])\n"
     ]
    }
   ],
   "source": [
    "# The same works with edges\n",
    "pb_edges = tagged_posts.get_edges()\n",
    "print(pb_edges.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "      <th>0</th>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>180165261089</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>djangodeveloper180165261089PUBLISHED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pythonprogrammingthings</td>\n",
       "      <td>180165127266</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>pythonprogrammingthings180165127266PUBLISHED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>awesomecodetutorials</td>\n",
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       "      <td>PUBLISHED</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>awesomecodetutorials180164743852PUBLISHED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pythonprogrammingthings</td>\n",
       "      <td>180163457804</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>pythonprogrammingthings180163457804PUBLISHED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pythonprogrammingthings</td>\n",
       "      <td>180161391356</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>pythonprogrammingthings180161391356PUBLISHED</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Source        Target      Label label_attribute  \\\n",
       "0          djangodeveloper  180165261089  PUBLISHED       PUBLISHED   \n",
       "1  pythonprogrammingthings  180165127266  PUBLISHED       PUBLISHED   \n",
       "2     awesomecodetutorials  180164743852  PUBLISHED       PUBLISHED   \n",
       "3  pythonprogrammingthings  180163457804  PUBLISHED       PUBLISHED   \n",
       "4  pythonprogrammingthings  180161391356  PUBLISHED       PUBLISHED   \n",
       "\n",
       "                                             Id  \n",
       "0          djangodeveloper180165261089PUBLISHED  \n",
       "1  pythonprogrammingthings180165127266PUBLISHED  \n",
       "2     awesomecodetutorials180164743852PUBLISHED  \n",
       "3  pythonprogrammingthings180163457804PUBLISHED  \n",
       "4  pythonprogrammingthings180161391356PUBLISHED  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pb_edges[\"published\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find a Blog by Blog Name\n",
    "\n",
    "### def fetch_blog(self, graph, blog_name)\n",
    "\n",
    "Type of node returned:\n",
    "- blog\n",
    "\n",
    "No edges returned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's try searching for a blog\n",
    "blog_to_search = tagged_posts_df.blog_name[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Call the appropriate function\n",
    "blog = tumblr.fetch_blog(graphipy.create_graph(), blog_name=blog_to_search)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# You can get the dataframe from Pandas by specifying the node (only 1 node in this case)\n",
    "blog_df = blog.get_df(\"blog\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
       "      <th>name</th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>url</th>\n",
       "      <th>uuid</th>\n",
       "      <th>updated</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>Django Developer</td>\n",
       "      <td>blog</td>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>Django Developer</td>\n",
       "      <td></td>\n",
       "      <td>https://djangodeveloper.tumblr.com/</td>\n",
       "      <td>t:XDGA3TQVWSzgj3_XS7CRtA</td>\n",
       "      <td>1542354022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Id             Label label_attribute             name  \\\n",
       "0  djangodeveloper  Django Developer            blog  djangodeveloper   \n",
       "\n",
       "              title description                                  url  \\\n",
       "0  Django Developer              https://djangodeveloper.tumblr.com/   \n",
       "\n",
       "                       uuid     updated  \n",
       "0  t:XDGA3TQVWSzgj3_XS7CRtA  1542354022  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blog_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find Blogs followed by a Given Blog\n",
    "\n",
    "### def fetch_blogs_following(self, graph, blog_name, limit=20, offset=0)\n",
    "\n",
    "Optional parameters:\n",
    "- limit: the number of results to return: 1–20, inclusive\t\n",
    "- offset: followed blog index to start at\t\n",
    "\n",
    "Type of node returned:\n",
    "- blog\n",
    "\n",
    "Type of edge returned:\n",
    "- FOLLOWING"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['blog'])\n"
     ]
    }
   ],
   "source": [
    "# Let's use the blog name we used in the last section\n",
    "blogs_following = tumblr.fetch_blogs_following(graphipy.create_graph(), blog_name=blog_to_search, limit=5)\n",
    "\n",
    "# Grab the nodes\n",
    "blogs_nodes = blogs_following.get_nodes()\n",
    "print(blogs_nodes.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
       "      <th>name</th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>url</th>\n",
       "      <th>uuid</th>\n",
       "      <th>updated</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>Django Developer</td>\n",
       "      <td>blog</td>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>Django Developer</td>\n",
       "      <td></td>\n",
       "      <td>https://djangodeveloper.tumblr.com/</td>\n",
       "      <td>t:XDGA3TQVWSzgj3_XS7CRtA</td>\n",
       "      <td>1542354022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>do-you-even-code-bro</td>\n",
       "      <td>hello world</td>\n",
       "      <td>blog</td>\n",
       "      <td>do-you-even-code-bro</td>\n",
       "      <td>hello world</td>\n",
       "      <td>&lt;p&gt;If your dream isn't worth the risk, what is...</td>\n",
       "      <td>https://do-you-even-code-bro.tumblr.com/</td>\n",
       "      <td>t:K39lqnkuWfRoUbTdpnk1CQ</td>\n",
       "      <td>1541708467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ffreakyflamingo</td>\n",
       "      <td>My Snaughter Venus</td>\n",
       "      <td>blog</td>\n",
       "      <td>ffreakyflamingo</td>\n",
       "      <td>My Snaughter Venus</td>\n",
       "      <td>&lt;p&gt;Not about Flamingos, just my normal ball py...</td>\n",
       "      <td>https://ffreakyflamingo.tumblr.com/</td>\n",
       "      <td>t:TQ29oPL7hVsv-qizpLNIwg</td>\n",
       "      <td>1540686931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>anangstyblackgirl</td>\n",
       "      <td>always annoyed</td>\n",
       "      <td>blog</td>\n",
       "      <td>anangstyblackgirl</td>\n",
       "      <td>always annoyed</td>\n",
       "      <td>AN ANGSTY BLACK GIRL IS 27. chicagoan. writer/...</td>\n",
       "      <td>https://anangstyblackgirl.tumblr.com/</td>\n",
       "      <td>t:EAvDkt3T97Z8m-VAQKTyGw</td>\n",
       "      <td>1531627938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>staff</td>\n",
       "      <td>Tumblr Staff</td>\n",
       "      <td>blog</td>\n",
       "      <td>staff</td>\n",
       "      <td>Tumblr Staff</td>\n",
       "      <td>please clap</td>\n",
       "      <td>https://staff.tumblr.com/</td>\n",
       "      <td>t:0aY0xL2Fi1OFJg4YxpmegQ</td>\n",
       "      <td>1542061588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Id               Label label_attribute  \\\n",
       "0       djangodeveloper    Django Developer            blog   \n",
       "1  do-you-even-code-bro         hello world            blog   \n",
       "2       ffreakyflamingo  My Snaughter Venus            blog   \n",
       "3     anangstyblackgirl      always annoyed            blog   \n",
       "4                 staff        Tumblr Staff            blog   \n",
       "\n",
       "                   name               title  \\\n",
       "0       djangodeveloper    Django Developer   \n",
       "1  do-you-even-code-bro         hello world   \n",
       "2       ffreakyflamingo  My Snaughter Venus   \n",
       "3     anangstyblackgirl      always annoyed   \n",
       "4                 staff        Tumblr Staff   \n",
       "\n",
       "                                         description  \\\n",
       "0                                                      \n",
       "1  <p>If your dream isn't worth the risk, what is...   \n",
       "2  <p>Not about Flamingos, just my normal ball py...   \n",
       "3  AN ANGSTY BLACK GIRL IS 27. chicagoan. writer/...   \n",
       "4                                        please clap   \n",
       "\n",
       "                                        url                      uuid  \\\n",
       "0       https://djangodeveloper.tumblr.com/  t:XDGA3TQVWSzgj3_XS7CRtA   \n",
       "1  https://do-you-even-code-bro.tumblr.com/  t:K39lqnkuWfRoUbTdpnk1CQ   \n",
       "2       https://ffreakyflamingo.tumblr.com/  t:TQ29oPL7hVsv-qizpLNIwg   \n",
       "3     https://anangstyblackgirl.tumblr.com/  t:EAvDkt3T97Z8m-VAQKTyGw   \n",
       "4                 https://staff.tumblr.com/  t:0aY0xL2Fi1OFJg4YxpmegQ   \n",
       "\n",
       "      updated  \n",
       "0  1542354022  \n",
       "1  1541708467  \n",
       "2  1540686931  \n",
       "3  1531627938  \n",
       "4  1542061588  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the nodes\n",
    "blogs_nodes[\"blog\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['following'])\n"
     ]
    }
   ],
   "source": [
    "# Grab the edges\n",
    "bb_edges = blogs_following.get_edges()\n",
    "print(bb_edges.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Source</th>\n",
       "      <th>Target</th>\n",
       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
       "      <th>Id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>do-you-even-code-bro</td>\n",
       "      <td>FOLLOWING</td>\n",
       "      <td>FOLLOWING</td>\n",
       "      <td>djangodeveloperdo-you-even-code-broFOLLOWING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>ffreakyflamingo</td>\n",
       "      <td>FOLLOWING</td>\n",
       "      <td>FOLLOWING</td>\n",
       "      <td>djangodeveloperffreakyflamingoFOLLOWING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>anangstyblackgirl</td>\n",
       "      <td>FOLLOWING</td>\n",
       "      <td>FOLLOWING</td>\n",
       "      <td>djangodeveloperanangstyblackgirlFOLLOWING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>staff</td>\n",
       "      <td>FOLLOWING</td>\n",
       "      <td>FOLLOWING</td>\n",
       "      <td>djangodeveloperstaffFOLLOWING</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Source                Target      Label label_attribute  \\\n",
       "0  djangodeveloper  do-you-even-code-bro  FOLLOWING       FOLLOWING   \n",
       "1  djangodeveloper       ffreakyflamingo  FOLLOWING       FOLLOWING   \n",
       "2  djangodeveloper     anangstyblackgirl  FOLLOWING       FOLLOWING   \n",
       "3  djangodeveloper                 staff  FOLLOWING       FOLLOWING   \n",
       "\n",
       "                                             Id  \n",
       "0  djangodeveloperdo-you-even-code-broFOLLOWING  \n",
       "1       djangodeveloperffreakyflamingoFOLLOWING  \n",
       "2     djangodeveloperanangstyblackgirlFOLLOWING  \n",
       "3                 djangodeveloperstaffFOLLOWING  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the edges\n",
    "bb_edges[\"following\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find Posts Published by a Given Blog\n",
    "\n",
    "### def fetch_published_posts(self, graph, blog_name, type=None, tag=\"\", limit=20, offset=0)\n",
    "\n",
    "Optional parameters:\n",
    "- type: the type of post to return. Specify one of the following: text, quote, link, answer, video, audio, photo, chat\n",
    "- tag: limits the response to posts with the specified tag\t\n",
    "- limit: the number of posts to return: 1–20, inclusive\t\n",
    "- offset: post number to start at\n",
    "\n",
    "Types of node returned:\n",
    "- blog\n",
    "- post\n",
    "\n",
    "Type of edge returned:\n",
    "- PUBLISHED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We can also see all the posts published by some blog we researched in previous sections\n",
    "published_posts = tumblr.fetch_published_posts(graphipy.create_graph(), blog_name=blog_to_search, limit=5, type=\"photo\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['blog', 'post'])\n"
     ]
    }
   ],
   "source": [
    "# Grab the nodes\n",
    "nodes = published_posts.get_nodes()\n",
    "print(nodes.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
       "      <th>type</th>\n",
       "      <th>blog_name</th>\n",
       "      <th>post_url</th>\n",
       "      <th>slug</th>\n",
       "      <th>date</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>state</th>\n",
       "      <th>...</th>\n",
       "      <th>note_count</th>\n",
       "      <th>can_like</th>\n",
       "      <th>can_reblog</th>\n",
       "      <th>can_send_in_message</th>\n",
       "      <th>can_reply</th>\n",
       "      <th>display_avatar</th>\n",
       "      <th>caption</th>\n",
       "      <th>photos</th>\n",
       "      <th>trail</th>\n",
       "      <th>reblog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>180165261089</td>\n",
       "      <td>180165261089</td>\n",
       "      <td>post</td>\n",
       "      <td>photo</td>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>https://djangodeveloper.tumblr.com/post/180165...</td>\n",
       "      <td>practical-python-regular-expressions-with-python</td>\n",
       "      <td>2018-11-16 07:40:22 GMT</td>\n",
       "      <td>1542354022</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;p&gt;Practical Python - Regular Expressions With...</td>\n",
       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'djangodeveloper', 'active'...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Practical Python - Regular Exp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>180157407715</td>\n",
       "      <td>180157407715</td>\n",
       "      <td>post</td>\n",
       "      <td>photo</td>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>https://djangodeveloper.tumblr.com/post/180157...</td>\n",
       "      <td>learn-python-python-for-beginners</td>\n",
       "      <td>2018-11-16 02:20:45 GMT</td>\n",
       "      <td>1542334845</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;p&gt;Learn Python: Python for Beginners&lt;br/&gt;\\n☞ ...</td>\n",
       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'djangodeveloper', 'active'...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Learn Python: Python for Begin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>180153189900</td>\n",
       "      <td>180153189900</td>\n",
       "      <td>post</td>\n",
       "      <td>photo</td>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>https://djangodeveloper.tumblr.com/post/180153...</td>\n",
       "      <td>bayesian-machine-learning-in-python-ab-testing</td>\n",
       "      <td>2018-11-15 23:40:48 GMT</td>\n",
       "      <td>1542325248</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;p&gt;Bayesian Machine Learning in Python: A/B Te...</td>\n",
       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'djangodeveloper', 'active'...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Bayesian Machine Learning in P...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>180148592874</td>\n",
       "      <td>180148592874</td>\n",
       "      <td>post</td>\n",
       "      <td>photo</td>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>https://djangodeveloper.tumblr.com/post/180148...</td>\n",
       "      <td>easy-natural-language-processing-nlp-in-python</td>\n",
       "      <td>2018-11-15 21:02:05 GMT</td>\n",
       "      <td>1542315725</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;p&gt;Easy Natural Language Processing (NLP) in P...</td>\n",
       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'djangodeveloper', 'active'...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Easy Natural Language Processi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>180144231682</td>\n",
       "      <td>180144231682</td>\n",
       "      <td>post</td>\n",
       "      <td>photo</td>\n",
       "      <td>djangodeveloper</td>\n",
       "      <td>https://djangodeveloper.tumblr.com/post/180144...</td>\n",
       "      <td>learn-pandas-python-3-and-become-a-data-ninja</td>\n",
       "      <td>2018-11-15 18:20:42 GMT</td>\n",
       "      <td>1542306042</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;p&gt;Learn Pandas (Python 3) And Become A Data N...</td>\n",
       "      <td>[{'caption': '', 'original_size': {'url': 'htt...</td>\n",
       "      <td>[{'blog': {'name': 'djangodeveloper', 'active'...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Learn Pandas (Python 3) And Be...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Id         Label label_attribute   type        blog_name  \\\n",
       "0  180165261089  180165261089            post  photo  djangodeveloper   \n",
       "1  180157407715  180157407715            post  photo  djangodeveloper   \n",
       "2  180153189900  180153189900            post  photo  djangodeveloper   \n",
       "3  180148592874  180148592874            post  photo  djangodeveloper   \n",
       "4  180144231682  180144231682            post  photo  djangodeveloper   \n",
       "\n",
       "                                            post_url  \\\n",
       "0  https://djangodeveloper.tumblr.com/post/180165...   \n",
       "1  https://djangodeveloper.tumblr.com/post/180157...   \n",
       "2  https://djangodeveloper.tumblr.com/post/180153...   \n",
       "3  https://djangodeveloper.tumblr.com/post/180148...   \n",
       "4  https://djangodeveloper.tumblr.com/post/180144...   \n",
       "\n",
       "                                               slug                     date  \\\n",
       "0  practical-python-regular-expressions-with-python  2018-11-16 07:40:22 GMT   \n",
       "1                 learn-python-python-for-beginners  2018-11-16 02:20:45 GMT   \n",
       "2    bayesian-machine-learning-in-python-ab-testing  2018-11-15 23:40:48 GMT   \n",
       "3    easy-natural-language-processing-nlp-in-python  2018-11-15 21:02:05 GMT   \n",
       "4     learn-pandas-python-3-and-become-a-data-ninja  2018-11-15 18:20:42 GMT   \n",
       "\n",
       "    timestamp      state                        ...                          \\\n",
       "0  1542354022  published                        ...                           \n",
       "1  1542334845  published                        ...                           \n",
       "2  1542325248  published                        ...                           \n",
       "3  1542315725  published                        ...                           \n",
       "4  1542306042  published                        ...                           \n",
       "\n",
       "  note_count can_like can_reblog can_send_in_message can_reply display_avatar  \\\n",
       "0          0     True       True                True      True           True   \n",
       "1          0     True       True                True      True           True   \n",
       "2          0     True       True                True      True           True   \n",
       "3          1     True       True                True      True           True   \n",
       "4          0     True       True                True      True           True   \n",
       "\n",
       "                                             caption  \\\n",
       "0  <p>Practical Python - Regular Expressions With...   \n",
       "1  <p>Learn Python: Python for Beginners<br/>\\n☞ ...   \n",
       "2  <p>Bayesian Machine Learning in Python: A/B Te...   \n",
       "3  <p>Easy Natural Language Processing (NLP) in P...   \n",
       "4  <p>Learn Pandas (Python 3) And Become A Data N...   \n",
       "\n",
       "                                              photos  \\\n",
       "0  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "1  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "2  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "3  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "4  [{'caption': '', 'original_size': {'url': 'htt...   \n",
       "\n",
       "                                               trail  \\\n",
       "0  [{'blog': {'name': 'djangodeveloper', 'active'...   \n",
       "1  [{'blog': {'name': 'djangodeveloper', 'active'...   \n",
       "2  [{'blog': {'name': 'djangodeveloper', 'active'...   \n",
       "3  [{'blog': {'name': 'djangodeveloper', 'active'...   \n",
       "4  [{'blog': {'name': 'djangodeveloper', 'active'...   \n",
       "\n",
       "                                              reblog  \n",
       "0  {'comment': '<p>Practical Python - Regular Exp...  \n",
       "1  {'comment': '<p>Learn Python: Python for Begin...  \n",
       "2  {'comment': '<p>Bayesian Machine Learning in P...  \n",
       "3  {'comment': '<p>Easy Natural Language Processi...  \n",
       "4  {'comment': '<p>Learn Pandas (Python 3) And Be...  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the posts\n",
    "nodes[\"post\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find Posts Liked by a Given Blog\n",
    "\n",
    "### def fetch_liked_posts(self,graph,blog_name,limit=20,offset=0,before=0,after=0)\n",
    "\n",
    "Optimal parameters:\n",
    "- limit: the number of results to return: 1–20, inclusive\t\n",
    "- offset: liked post number to start at\n",
    "- before: retrieve posts liked before the specified timestamp\t\n",
    "- after: retrieve posts liked after the specified timestamp\t\n",
    "\n",
    "Types of nodes returned:\n",
    "- blog\n",
    "- post\n",
    "\n",
    "Type of edge returned:\n",
    "- LIKED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['blog', 'post'])\n"
     ]
    }
   ],
   "source": [
    "# We can also see all the posts published by the blog we researched in previous sections\n",
    "liked_posts = tumblr.fetch_liked_posts(graphipy.create_graph(), blog_name=blog_to_search)\n",
    "\n",
    "# Grab the nodes\n",
    "nodes = liked_posts.get_nodes()\n",
    "print(nodes.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
       "      <th>type</th>\n",
       "      <th>blog_name</th>\n",
       "      <th>post_url</th>\n",
       "      <th>slug</th>\n",
       "      <th>date</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>state</th>\n",
       "      <th>...</th>\n",
       "      <th>caption</th>\n",
       "      <th>permalink_url</th>\n",
       "      <th>html5_capable</th>\n",
       "      <th>thumbnail_url</th>\n",
       "      <th>thumbnail_width</th>\n",
       "      <th>thumbnail_height</th>\n",
       "      <th>video_type</th>\n",
       "      <th>player</th>\n",
       "      <th>trail</th>\n",
       "      <th>reblog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>172693592981</td>\n",
       "      <td>172693592981</td>\n",
       "      <td>post</td>\n",
       "      <td>video</td>\n",
       "      <td>aestheticallypleasingcode</td>\n",
       "      <td>https://aestheticallypleasingcode.tumblr.com/p...</td>\n",
       "      <td>finally-got-around-to-creating-this-the-first-of</td>\n",
       "      <td>2018-04-07 17:02:57 GMT</td>\n",
       "      <td>1523120577</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;p&gt;Finally got around to creating this. The fi...</td>\n",
       "      <td>https://www.youtube.com/watch?v=UvuJx7rVUxg</td>\n",
       "      <td>True</td>\n",
       "      <td>https://i.ytimg.com/vi/UvuJx7rVUxg/hqdefault.jpg</td>\n",
       "      <td>480</td>\n",
       "      <td>360</td>\n",
       "      <td>youtube</td>\n",
       "      <td>[{'width': 250, 'embed_code': '&lt;iframe width=\"...</td>\n",
       "      <td>[{'blog': {'name': 'aestheticallypleasingcode'...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Finally got around to creating...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>172870506651</td>\n",
       "      <td>172870506651</td>\n",
       "      <td>post</td>\n",
       "      <td>video</td>\n",
       "      <td>aestheticallypleasingcode</td>\n",
       "      <td>https://aestheticallypleasingcode.tumblr.com/p...</td>\n",
       "      <td>second-episode-is-ready-played-around-with-some</td>\n",
       "      <td>2018-04-12 20:46:46 GMT</td>\n",
       "      <td>1523566006</td>\n",
       "      <td>published</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;p&gt;Second episode is ready. &lt;/p&gt;&lt;p&gt;Played arou...</td>\n",
       "      <td>https://www.youtube.com/watch?v=Gj9CSJu1qjY</td>\n",
       "      <td>True</td>\n",
       "      <td>https://i.ytimg.com/vi/Gj9CSJu1qjY/hqdefault.jpg</td>\n",
       "      <td>480</td>\n",
       "      <td>360</td>\n",
       "      <td>youtube</td>\n",
       "      <td>[{'width': 250, 'embed_code': '&lt;iframe width=\"...</td>\n",
       "      <td>[{'blog': {'name': 'aestheticallypleasingcode'...</td>\n",
       "      <td>{'comment': '&lt;p&gt;Second episode is ready. &lt;/p&gt;&lt;...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Id         Label label_attribute   type  \\\n",
       "0  172693592981  172693592981            post  video   \n",
       "1  172870506651  172870506651            post  video   \n",
       "\n",
       "                   blog_name  \\\n",
       "0  aestheticallypleasingcode   \n",
       "1  aestheticallypleasingcode   \n",
       "\n",
       "                                            post_url  \\\n",
       "0  https://aestheticallypleasingcode.tumblr.com/p...   \n",
       "1  https://aestheticallypleasingcode.tumblr.com/p...   \n",
       "\n",
       "                                               slug                     date  \\\n",
       "0  finally-got-around-to-creating-this-the-first-of  2018-04-07 17:02:57 GMT   \n",
       "1   second-episode-is-ready-played-around-with-some  2018-04-12 20:46:46 GMT   \n",
       "\n",
       "    timestamp      state                        ...                          \\\n",
       "0  1523120577  published                        ...                           \n",
       "1  1523566006  published                        ...                           \n",
       "\n",
       "                                             caption  \\\n",
       "0  <p>Finally got around to creating this. The fi...   \n",
       "1  <p>Second episode is ready. </p><p>Played arou...   \n",
       "\n",
       "                                 permalink_url html5_capable  \\\n",
       "0  https://www.youtube.com/watch?v=UvuJx7rVUxg          True   \n",
       "1  https://www.youtube.com/watch?v=Gj9CSJu1qjY          True   \n",
       "\n",
       "                                      thumbnail_url thumbnail_width  \\\n",
       "0  https://i.ytimg.com/vi/UvuJx7rVUxg/hqdefault.jpg             480   \n",
       "1  https://i.ytimg.com/vi/Gj9CSJu1qjY/hqdefault.jpg             480   \n",
       "\n",
       "  thumbnail_height video_type  \\\n",
       "0              360    youtube   \n",
       "1              360    youtube   \n",
       "\n",
       "                                              player  \\\n",
       "0  [{'width': 250, 'embed_code': '<iframe width=\"...   \n",
       "1  [{'width': 250, 'embed_code': '<iframe width=\"...   \n",
       "\n",
       "                                               trail  \\\n",
       "0  [{'blog': {'name': 'aestheticallypleasingcode'...   \n",
       "1  [{'blog': {'name': 'aestheticallypleasingcode'...   \n",
       "\n",
       "                                              reblog  \n",
       "0  {'comment': '<p>Finally got around to creating...  \n",
       "1  {'comment': '<p>Second episode is ready. </p><...  \n",
       "\n",
       "[2 rows x 36 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the posts\n",
    "nodes[\"post\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exporting Graph as CSV Files\n",
    "\n",
    "#### For more information, see DataExportDemo.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# You can then export the graph into .csv files\n",
    "# Just call .export_CSV_all() on the graph desired\n",
    "csv_name = \"tumblr\"\n",
    "export_path_all = liked_posts.export_all_csv(csv_name)\n",
    "\n",
    "# You can also specify the dataframes \"you want to export by using the .export_CSV() function\n",
    "# Provide the label_attributes of the nodes and edges you want to export\n",
    "csv_name = \"specific\"\n",
    "nodes = {\"post\"}\n",
    "edges = {\"LIKED\"}\n",
    "export_path_specific = liked_posts.export_csv(csv_name, nodes, edges)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization with NetworkX\n",
    "\n",
    "#### For more information, see DataExportDemo.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We will visualize liked_posts graph\n",
    "from matplotlib import colors as mcolors\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the networkx exporter object\n",
    "exporter = graphipy.get_nx_exporter()\n",
    "nx_graph = exporter.create_from_pd(liked_posts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Draw the graph using graphipy\n",
    "color_set = set(mcolors.CSS4_COLORS)\n",
    "options = {\n",
    "    \"node_label\": \"Label\",\n",
    "    \"colorful_edges\": True,\n",
    "    \"color_set\": color_set\n",
    "}\n",
    "legend = exporter.draw_random(nx_graph, options=options, legend=plt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}