bioinformatics.ipynb

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    "#### M4W Series\n",
    "\n",
    "* [Table of Contents](M4WTOC.ipynb)\n",
    "* <a href=\"https://colab.research.google.com/github/4dsolutions/m4w/blob/main/bioinformatics.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n",
    "* [![nbviewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.org/github/4dsolutions/m4w/blob/main/bioinformatics.ipynb)"
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   "source": [
    "# KNOWLEDGE ENGINEERING STUDY GROUP\n",
    "\n",
    "Our study group undertook a project to generate [new source code](visualize_2.py) from old, using AI as a mediator. See the link to *Experiments with AI and Synergetics* below to get more details on this project. \n",
    "\n",
    "Check out the [ivm-xyz subtopic](https://coda.io/d/Math4Wisdom_d0SvdI3KSto/ivm-xyz_suqdu#_lu1a0) in particular.\n",
    "\n",
    "<a data-flickr-embed=\"true\" href=\"https://www.flickr.com/photos/kirbyurner/53600264849/in/dateposted/\" title=\"Chronicling Meetups\"><img src=\"https://live.staticflickr.com/65535/53600264849_81faa2f40a.jpg\" width=\"499\" height=\"500\" alt=\"Chronicling Meetups\"/></a><script async src=\"//embedr.flickr.com/assets/client-code.js\" charset=\"utf-8\"></script>\n",
    "\n",
    "Links:\n",
    "\n",
    "* [Knowledge Engineering Study Group](https://coffeeshopsnet.blogspot.com/2024/03/knowledge-engineering-study-group.html) -- blog post\n",
    "* [Experiments with AI and Synergetics](https://coda.io/d/Math4Wisdom_d0SvdI3KSto/Synergetics_su5DS#_lu5qT) -- M4W Coda (Topic: Synergetics)\n",
    "* [WW: Active Inference](https://www.math4wisdom.com/wiki/KnowledgeEngineering/ActiveInferenceOntology) -- AK's WW Wiki\n",
    "* [Knowledge Engineering Meeting Notes](https://coda.io/d/Math4Wisdom_d0SvdI3KSto/Meetings_suxmi#_luvz5) -- M4W Coda\n",
    "* [Enabling Societal Debate with Knowledge Graphs](https://coffeeshopsnet.blogspot.com/2024/03/enabling-societal-debate-knowledge.html) -- blog post (Active Inference Institute video)\n",
    "* [Graph Theory: Some Node Plexes](https://docs.google.com/presentation/d/1TOVmvkHM4Da7XmE2jO1gczIF-64MUdbBx8sfwkSVTJI/edit?usp=sharing) -- Google Slides (work in progress)\n",
    "* [Narration re the Graph Theory Slides](https://youtu.be/ZBRnfB8KcGM) -- YouTube (November 2023)\n",
    "  "
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    "### Artificial Intelligence\n",
    "\n",
    "<a data-flickr-embed=\"true\" href=\"https://www.flickr.com/photos/kirbyurner/53600744213/in/dateposted/\" title=\"Chatter About AGI\"><img src=\"https://live.staticflickr.com/65535/53600744213_f3788e0d75_o.png\" width=\"746\" height=\"502\" alt=\"Chatter About AGI\"/></a><script async src=\"//embedr.flickr.com/assets/client-code.js\" charset=\"utf-8\"></script>\n",
    "<br />\n",
    "<a data-flickr-embed=\"true\" href=\"https://www.flickr.com/photos/kirbyurner/53599928836/in/photostream/\" title=\"Screen Shot 2024-03-20 at 5.28.07 AM\"><img src=\"https://live.staticflickr.com/65535/53599928836_e8cf636302_o.png\" width=\"730\" height=\"885\" alt=\"Screen Shot 2024-03-20 at 5.28.07 AM\"/></a><script async src=\"//embedr.flickr.com/assets/client-code.js\" charset=\"utf-8\"></script>\n",
    "\n",
    "Links:\n",
    "* [I, Robot](https://controlroom.blogspot.com/2022/04/i-robot.html) -- blog post)\n",
    "* [Re: Automaticity](https://www.freelists.org/post/math4wisdom/automaticity) -- math4wisdom archive\n",
    "* [Spaceship Earth = Babel University](https://mybizmo.blogspot.com/2018/06/thy-kingdom-come-thy-will-be-done.html) -- blog post"
   ]
  },
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    "### Climate Change\n",
    "\n",
    "The climate is always changing and is going to need to keep changing to keep a dynamic equilibrium. It's not that we are \"against climate change\". We're for changing the climate in ways that favor living conditions aboard Spaceship Earth.\n",
    "\n",
    "* [Biosphere > Climate](https://controlroom.blogspot.com/2020/02/the-climate-change-hoax.html) -- blog post\n",
    "* [Warming Oceans](https://climate.nasa.gov/vital-signs/ocean-warming/?intent=111) -- NASA site"
   ]
  },
  {
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   "source": [
    "### Social Engineering\n",
    "\n",
    "[Social Engineering](https://controlroom.blogspot.com/2022/08/social-engineering.html) -- blog post"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "640ec519-26d4-4b37-8c7c-60e5de23d15b",
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   "source": [
    "### Bioinformatics: Ant Memes in Pop Culture\n",
    "\n",
    "<a data-flickr-embed=\"true\" href=\"https://www.flickr.com/photos/kirbyurner/53600481240/in/dateposted/\" title=\"by Daniel Ari Friedman with DALL-E\"><img src=\"https://live.staticflickr.com/65535/53600481240_d6ba6b3c01_o.png\" width=\"383\" height=\"384\" alt=\"by Daniel Ari Friedman with DALL-E\"/></a><script async src=\"//embedr.flickr.com/assets/client-code.js\" charset=\"utf-8\"></script>\n",
    "\n",
    "My thanks to Daniel Ari Friedman, creator of the above figure (with help from AI), and one of our M4W Knowledge Engineering Study Group, for supplying the tabular data below, a great jumping off point for studying the role of \"ant memes\" in popular culture.\n",
    "\n",
    "Check out this Coda topic:  [Entomology](https://coda.io/d/Math4Wisdom_d0SvdI3KSto/Entomology_sunPA#_lufMO) where we're being especially conscious of our use of language.\n",
    "\n",
    "This kind of study helps with our [Sociology Track](https://www.math4wisdom.com/wiki/Sociology/AslamKakar) wherein we analyze human collectives (such as institutions) as well as insects."
   ]
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "778d528e-80cc-472d-9405-5476396b3c7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import YouTubeVideo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3e3bea9d-a8c3-4c33-81f7-5785351862c3",
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   "outputs": [
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",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/cUIF2mwuz_s\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x1087d1cd0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo(\"cUIF2mwuz_s\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1e5ac5d-0a7e-41f6-90e8-88cc824570eb",
   "metadata": {},
   "source": [
    "The 3rd party Python package, pandas, [is worth grokking](https://mail.python.org/archives/list/edu-sig@python.org/message/MXGXRQLW63L6XCPABB53PS4YCMYEBKFJ/) if you plan to venture into AI. pandas DataFrames are typically containers for training and testing data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9f5fe942-5e3f-4271-b5e9-e7a39aff79ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "91d56459-5105-4b89-bebe-ed47167033ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = \"./raw_data/AntLit2021.xlsx\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90acf2cb-fa2a-4f20-9800-50da48a64f1e",
   "metadata": {},
   "source": [
    "A lot of work has gone into making pandas good at reading in Excel files, given the ubiquity of Microsoft spreadsheet technology."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "105cb99d-d8ee-4b78-8507-8c5b89a0185f",
   "metadata": {},
   "outputs": [],
   "source": [
    "antlit = pd.ExcelFile(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a7b8b67c-88ba-4ce2-9acf-1d76bfb121a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pandas.io.excel._base.ExcelFile at 0x1087d8d50>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "antlit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a35a8ea-cf33-4e9e-8832-031802810968",
   "metadata": {},
   "source": [
    "The column names start one row down in this spreadsheet, which is why we say \"header = 1\"..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "52ce472b-a860-482f-8588-8c9eeb9bf6f7",
   "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>Link</th>\n",
       "      <th>Type</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Year</th>\n",
       "      <th>FocalScale</th>\n",
       "      <th>NestmateAgency</th>\n",
       "      <th>ColonyAgency?</th>\n",
       "      <th>HumanAgency?</th>\n",
       "      <th>Claim</th>\n",
       "      <th>Remarks....</th>\n",
       "      <th>Unnamed: 11</th>\n",
       "      <th>Unnamed: 12</th>\n",
       "      <th>Unnamed: 13</th>\n",
       "      <th>Unnamed: 14</th>\n",
       "      <th>Unnamed: 15</th>\n",
       "      <th>Unnamed: 16</th>\n",
       "      <th>Unnamed: 17</th>\n",
       "      <th>Unnamed: 18</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.amazon.com/Red-Antway-Navaho-Lelan...</td>\n",
       "      <td>Story</td>\n",
       "      <td>The Red Antway of the Navaho</td>\n",
       "      <td>Leland C. Wyman</td>\n",
       "      <td>1965</td>\n",
       "      <td>Nestmate, Colony, Human</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>I don't have the book, so can't really draw cl...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://escholarship.org/uc/item/2gr06809</td>\n",
       "      <td>Paper</td>\n",
       "      <td>A query regarding the possible hallucinogenic ...</td>\n",
       "      <td>Blackburn T.</td>\n",
       "      <td>1976</td>\n",
       "      <td>Nestmate, Human</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://en.wikipedia.org/wiki/G%C3%B6del,_Esch...</td>\n",
       "      <td>Book</td>\n",
       "      <td>https://docs.google.com/spreadsheets/d/1-X_ft-...</td>\n",
       "      <td>Douglas Hofstadter</td>\n",
       "      <td>1979</td>\n",
       "      <td>Nestmate, Colony, Human</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Aunt Hilary, the colony, has a personality.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://en.wikipedia.org/wiki/SimAnt</td>\n",
       "      <td>Video Game</td>\n",
       "      <td>SimAnt</td>\n",
       "      <td>Maxis</td>\n",
       "      <td>1991</td>\n",
       "      <td>Nestmate, Colony, Human</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Only nestmates and humans make actions. But ev...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://en.wikipedia.org/wiki/Morpho_Eugenia</td>\n",
       "      <td>Book</td>\n",
       "      <td>Morpho Eugenia</td>\n",
       "      <td>A. S. Byatt</td>\n",
       "      <td>1992</td>\n",
       "      <td>Nestmate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>\"Their whole existence is directed only to the...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Link        Type  \\\n",
       "0  https://www.amazon.com/Red-Antway-Navaho-Lelan...       Story   \n",
       "1          https://escholarship.org/uc/item/2gr06809       Paper   \n",
       "2  https://en.wikipedia.org/wiki/G%C3%B6del,_Esch...        Book   \n",
       "3               https://en.wikipedia.org/wiki/SimAnt  Video Game   \n",
       "4       https://en.wikipedia.org/wiki/Morpho_Eugenia        Book   \n",
       "\n",
       "                                               Title             Author   \\\n",
       "0                       The Red Antway of the Navaho     Leland C. Wyman   \n",
       "1  A query regarding the possible hallucinogenic ...        Blackburn T.   \n",
       "2  https://docs.google.com/spreadsheets/d/1-X_ft-...  Douglas Hofstadter   \n",
       "3                                             SimAnt               Maxis   \n",
       "4                                     Morpho Eugenia         A. S. Byatt   \n",
       "\n",
       "   Year               FocalScale  NestmateAgency  ColonyAgency?  HumanAgency?  \\\n",
       "0  1965  Nestmate, Colony, Human             NaN            NaN           NaN   \n",
       "1  1976          Nestmate, Human             NaN            NaN           NaN   \n",
       "2  1979  Nestmate, Colony, Human             1.0            5.0           9.0   \n",
       "3  1991  Nestmate, Colony, Human             7.0            0.0           8.0   \n",
       "4  1992                 Nestmate             NaN            NaN           NaN   \n",
       "\n",
       "                                               Claim Remarks....  Unnamed: 11  \\\n",
       "0  I don't have the book, so can't really draw cl...         NaN          NaN   \n",
       "1                                                NaN         NaN          NaN   \n",
       "2       Aunt Hilary, the colony, has a personality.          NaN          NaN   \n",
       "3  Only nestmates and humans make actions. But ev...         NaN          NaN   \n",
       "4  \"Their whole existence is directed only to the...         NaN          NaN   \n",
       "\n",
       "   Unnamed: 12  Unnamed: 13  Unnamed: 14  Unnamed: 15  Unnamed: 16  \\\n",
       "0          NaN          NaN          NaN          NaN          NaN   \n",
       "1          NaN          NaN          NaN          NaN          NaN   \n",
       "2          NaN          NaN          NaN          NaN          NaN   \n",
       "3          NaN          NaN          NaN          NaN          NaN   \n",
       "4          NaN          NaN          NaN          NaN          NaN   \n",
       "\n",
       "   Unnamed: 17  Unnamed: 18  \n",
       "0          NaN          NaN  \n",
       "1          NaN          NaN  \n",
       "2          NaN          NaN  \n",
       "3          NaN          NaN  \n",
       "4          NaN          NaN  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel(antlit, header=1)  # parsing...\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6c0f486-8f2d-4451-8e74-ff135a1de53f",
   "metadata": {},
   "source": [
    "This data looks pretty clean. We won't have to do much.\n",
    "\n",
    "In a live notebook one may scroll to the right when a table is too wide to fit.\n",
    "\n",
    "A first step upon importing raw data is data cleaning, which at the broad brush stroke level involves dropping rows and columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e5d02bf2-4c14-4d89-bd56-76fd6d8bca8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 43 entries, 0 to 42\n",
      "Data columns (total 19 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Link            27 non-null     object \n",
      " 1   Type            28 non-null     object \n",
      " 2   Title           43 non-null     object \n",
      " 3   Author          28 non-null     object \n",
      " 4   Year            28 non-null     object \n",
      " 5   FocalScale      26 non-null     object \n",
      " 6   NestmateAgency  12 non-null     float64\n",
      " 7   ColonyAgency?   11 non-null     float64\n",
      " 8   HumanAgency?    9 non-null      float64\n",
      " 9   Claim           21 non-null     object \n",
      " 10  Remarks....     10 non-null     object \n",
      " 11  Unnamed: 11     0 non-null      float64\n",
      " 12  Unnamed: 12     0 non-null      float64\n",
      " 13  Unnamed: 13     0 non-null      float64\n",
      " 14  Unnamed: 14     0 non-null      float64\n",
      " 15  Unnamed: 15     0 non-null      float64\n",
      " 16  Unnamed: 16     0 non-null      float64\n",
      " 17  Unnamed: 17     0 non-null      float64\n",
      " 18  Unnamed: 18     0 non-null      float64\n",
      "dtypes: float64(11), object(8)\n",
      "memory usage: 6.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1bf9d03c-c48f-45eb-a2e5-3bd6e693dda1",
   "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>Link</th>\n",
       "      <th>Type</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Year</th>\n",
       "      <th>FocalScale</th>\n",
       "      <th>NestmateAgency</th>\n",
       "      <th>ColonyAgency?</th>\n",
       "      <th>HumanAgency?</th>\n",
       "      <th>Claim</th>\n",
       "      <th>Remarks....</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.amazon.com/Red-Antway-Navaho-Lelan...</td>\n",
       "      <td>Story</td>\n",
       "      <td>The Red Antway of the Navaho</td>\n",
       "      <td>Leland C. Wyman</td>\n",
       "      <td>1965</td>\n",
       "      <td>Nestmate, Colony, Human</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>I don't have the book, so can't really draw cl...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://escholarship.org/uc/item/2gr06809</td>\n",
       "      <td>Paper</td>\n",
       "      <td>A query regarding the possible hallucinogenic ...</td>\n",
       "      <td>Blackburn T.</td>\n",
       "      <td>1976</td>\n",
       "      <td>Nestmate, Human</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://en.wikipedia.org/wiki/G%C3%B6del,_Esch...</td>\n",
       "      <td>Book</td>\n",
       "      <td>https://docs.google.com/spreadsheets/d/1-X_ft-...</td>\n",
       "      <td>Douglas Hofstadter</td>\n",
       "      <td>1979</td>\n",
       "      <td>Nestmate, Colony, Human</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Aunt Hilary, the colony, has a personality.</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://en.wikipedia.org/wiki/SimAnt</td>\n",
       "      <td>Video Game</td>\n",
       "      <td>SimAnt</td>\n",
       "      <td>Maxis</td>\n",
       "      <td>1991</td>\n",
       "      <td>Nestmate, Colony, Human</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Only nestmates and humans make actions. But ev...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://en.wikipedia.org/wiki/Morpho_Eugenia</td>\n",
       "      <td>Book</td>\n",
       "      <td>Morpho Eugenia</td>\n",
       "      <td>A. S. Byatt</td>\n",
       "      <td>1992</td>\n",
       "      <td>Nestmate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>\"Their whole existence is directed only to the...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Link        Type  \\\n",
       "0  https://www.amazon.com/Red-Antway-Navaho-Lelan...       Story   \n",
       "1          https://escholarship.org/uc/item/2gr06809       Paper   \n",
       "2  https://en.wikipedia.org/wiki/G%C3%B6del,_Esch...        Book   \n",
       "3               https://en.wikipedia.org/wiki/SimAnt  Video Game   \n",
       "4       https://en.wikipedia.org/wiki/Morpho_Eugenia        Book   \n",
       "\n",
       "                                               Title             Author   \\\n",
       "0                       The Red Antway of the Navaho     Leland C. Wyman   \n",
       "1  A query regarding the possible hallucinogenic ...        Blackburn T.   \n",
       "2  https://docs.google.com/spreadsheets/d/1-X_ft-...  Douglas Hofstadter   \n",
       "3                                             SimAnt               Maxis   \n",
       "4                                     Morpho Eugenia         A. S. Byatt   \n",
       "\n",
       "   Year               FocalScale  NestmateAgency  ColonyAgency?  HumanAgency?  \\\n",
       "0  1965  Nestmate, Colony, Human             NaN            NaN           NaN   \n",
       "1  1976          Nestmate, Human             NaN            NaN           NaN   \n",
       "2  1979  Nestmate, Colony, Human             1.0            5.0           9.0   \n",
       "3  1991  Nestmate, Colony, Human             7.0            0.0           8.0   \n",
       "4  1992                 Nestmate             NaN            NaN           NaN   \n",
       "\n",
       "                                               Claim Remarks....  \n",
       "0  I don't have the book, so can't really draw cl...         NaN  \n",
       "1                                                NaN         NaN  \n",
       "2       Aunt Hilary, the colony, has a personality.          NaN  \n",
       "3  Only nestmates and humans make actions. But ev...         NaN  \n",
       "4  \"Their whole existence is directed only to the...         NaN  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.iloc[:,0:11]  # data cleaning...\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4a28d438-6db9-4647-b859-3d937f1078fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 43 entries, 0 to 42\n",
      "Data columns (total 11 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Link            27 non-null     object \n",
      " 1   Type            28 non-null     object \n",
      " 2   Title           43 non-null     object \n",
      " 3   Author          28 non-null     object \n",
      " 4   Year            28 non-null     object \n",
      " 5   FocalScale      26 non-null     object \n",
      " 6   NestmateAgency  12 non-null     float64\n",
      " 7   ColonyAgency?   11 non-null     float64\n",
      " 8   HumanAgency?    9 non-null      float64\n",
      " 9   Claim           21 non-null     object \n",
      " 10  Remarks....     10 non-null     object \n",
      "dtypes: float64(3), object(8)\n",
      "memory usage: 3.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db44a392-04e8-4071-9465-ec5989082f0a",
   "metadata": {},
   "source": [
    "I'd like to isolate the hyperlinks. For me, in a live notebook, these links are all clickable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "802aa7d0-9e46-4da3-9461-911be5a7ef57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                                            https://www.amazon.com/Red-Antway-Navaho-Leland-Wyman/dp/B00BW3O3NO\n",
       "1                                                                                      https://escholarship.org/uc/item/2gr06809\n",
       "2                                                                         https://en.wikipedia.org/wiki/G%C3%B6del,_Escher,_Bach\n",
       "3                                                                                           https://en.wikipedia.org/wiki/SimAnt\n",
       "4                                                                                   https://en.wikipedia.org/wiki/Morpho_Eugenia\n",
       "5                https://researchers.mq.edu.au/en/publications/ritual-and-therapeutic-use-of-hallucinogenic-harvester-ants-pogon\n",
       "6                                                                                             https://en.wikipedia.org/wiki/Antz\n",
       "7                                                                                   https://en.wikipedia.org/wiki/A_Bug%27s_Life\n",
       "8                                   http://media-podcast.open.ac.uk/feeds/aa308-thought-experience/transcript/aa308thought13.pdf\n",
       "9                                                                                     https://www.edge.org/response-detail/11902\n",
       "10                                                        https://www.jstor.org/stable/20455330?seq=1#metadata_info_tab_contents\n",
       "11                                                                                       https://en.wikipedia.org/wiki/Bee_Movie\n",
       "12               https://www.amazon.com/History-Novel-Ants-Carol-Hart/dp/0979520436/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=&sr=\n",
       "13                                                             https://www.wired.com/2010/04/e-o-wilsons-scientifiction-anthill/\n",
       "14                        https://www.amicuspublishing.us/books/amicus-illustrated/what%E2%80%99s-it-be/what%E2%80%99s-it-be-ant\n",
       "15    https://www.academia.edu/1802032/_MEN_ARE_NOT_ANTS_CONSIDERING_ANTHROPOMORPHIC_ANTS_AND_PHYSICALIST_ANTS_IN_RECENT_FICTION\n",
       "16                                                            https://www.amazon.com/Hive-Pantheon-Graphic-Library/dp/0307907880\n",
       "17                                                               https://www.amazon.com/Ant-Colony-Michael-DeForge/dp/177046137X\n",
       "18                                                                                  https://en.wikipedia.org/wiki/Ant-Man_(film)\n",
       "19                                                            https://www.frontiersin.org/articles/10.3389/fpsyg.2016.01041/full\n",
       "20                                                                             https://nautil.us/blog/what-its-like-to-be-an-ant\n",
       "21                                         https://dailyant.com/2017/06/23/philosophy-phriday-towards-a-pataphysics-of-anthills/\n",
       "22                                                                https://www.aliusresearch.org/bulletin02-fristoninterview.html\n",
       "23                                                   https://theoutline.com/post/5974/ants-helping-each-other-survive-and-thrive\n",
       "24                                                       http://www.developedreality.com/2019/03/09/gamefied-nature-documentary/\n",
       "25                                     https://www.reddit.com/r/Enneagram/comments/gst03p/meme_enneagram_types_and_ants_at_home/\n",
       "26                                                                              https://en.wikipedia.org/wiki/Valley_of_the_ants\n",
       "Name: Link, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.max_colwidth = None  # https://pandas.pydata.org/pandas-docs/stable/user_guide/options.html\n",
    "links = df.Link[:27]\n",
    "links"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
 "nbformat": 4,
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