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    "## Credit assignment in a large-scale neuroscience collaboration\n",
    "By Anne Urai, CSHL, 2020\n",
    "\n",
    "To fairly acknowledge work of the 36 authors of the IBL's first overview paper (https://doi.org/10.1101/2020.01.17.909838), we experimented with several ways of defining authorship and contribution statement. Here's an overview of what worked, what didn't work, and what we ultimately settled on."
   ]
  },
  {
   "cell_type": "markdown",
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    "## Issue 1: author order\n",
    "Traditionally, papers in neuroscience list the authors in specific order: the person who lead the project (usually a postdoc or PhD student) goes first, then everyone in decreasing order of importance in the middle, and the laboratory head (PI) goes last. \n",
    "\n",
    "Would this work for a large collaborative paper like the IBL? We quickly realized the answer is *no*, for a couple of reasons:\n",
    "* no single person took the lead on the project\n",
    "* no single person was the head PI on the project\n",
    "* there are a huge number of authors who contributed in very different ways, making it impossible to assign an order (comparing apples to oranges).\n",
    "* even if we allow for shared first authorship (as is becoming increasingly common in the field), we would struggle to determine 1. who gets to be part of that shared-first list, 2. what is the order within that shared-first list, and 3. what's the order of authors after that.\n",
    "\n",
    "Our answer: _the alphabetical author list_. While common in e.g. physics, this idea is met with a lot of suspicion in neuroscience. It has the following advantages:\n",
    "* no more tension, disappointment and negotiation over author order\n",
    "* adding authors at a later stage is easy\n",
    "* the contribution statement (more below) can be used to indicate fine-grained information about each person's role in the project.\n",
    "\n",
    "__Note__: we decided to make 'The International Brain Laboratory' the first author on every IBL Overview Paper. This will lead to all those papers being cited as 'The IBL et al., 2020a, 2020b, 2020c'. Not only does this focus on the collaboration instead of the individuals, it also avoids the situation that Barbara Aaron gets mistaken for the lead author of the paper."
   ]
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    "## Issue 2: the contribution statement\n",
    "\n",
    "Without author order to convey credit, we moved to the contribution statement. In the following order, we tried a few formats:\n",
    "\n",
    "### 1. the free-for-all table\n",
    "Inspired by Nick Steinmetz (https://twitter.com/SteinmetzNeuro/status/1147241128858570752), we created a Google Sheets where everyone could put their name, and each of the contributions they made, into a table. The value (1-5) then showed the level of contribution for that individual.\n",
    "\n",
    "<img src=\"Screen%20Shot%202020-04-23%20at%2010.53.17.png\" width=\"800\" />\n",
    "\n",
    "This did not work, for the following reasons:\n",
    "* there was no curation of the tasks that could appear in the first column. The granularity thus ranged a lot, ranging from 'managed the collaboration' to 'ordered mouse food on Wednesday the 3rd of April' (not literally). \n",
    "* everyone worked on the same document simultaneously, so people often updated their statements after they saw what others wrote ('I forgot I did that too, I'd better still add it!').\n",
    "* the levels 1-5 were ill-defined: does '5' mean you did that task all on your own; that you were a regular participant; or just that you worked really hard on it?\n",
    "* adding numbers 1-5 led to a bit of a rat-race in accumulating a high total score, a bit like grade inflation.\n",
    "\n",
    "### 2a. the free-form statement\n",
    "We decided to take a step back, and instead (2 December 2019) gather each individual statement in a form that's as inclusive and free as possible. \n",
    "<img src=\"Screen%20Shot%202020-04-23%20at%2011.02.47.png\" width=\"800\" />\n",
    "\n",
    "After Lauren Wool collected these statements, they were too varied to be useful. I did mine in bulletpoints, but others wrote a paragraph. \n",
    "\n",
    "### 2b. the structured statement\n",
    "This quickly led to another attempt (7 January 2020) to a new request for contribution statements, now with a few restrictions:\n",
    "\n",
    "Write in full sentences\n",
    "Verbs should describe what you did for the project, not who you were.\n",
    "_Yes_: X.Y.Z. wrote the abstract and attended WG meetings\n",
    "_No_: X.Y.Z. was a writer for the abstract and was a member of the WG\n",
    "\n",
    "While this more structured form helped, there was still a lot of variation in the level of detail that people listed (e.g. 'wrote the paper' vs. 'found literature references for paragraph 1-4 on page 3'.\n",
    "\n",
    "### 3a. the CRediT-based statement\n",
    "Meanwhile, the IBL's Publication WG had further discussions about streamlining contribution statements, leading to the following recommendation on January 17, 2020:\n",
    "<img src=\"Screen%20Shot%202020-04-23%20at%2011.07.48.png\" width=\"800\" />\n",
    "\n",
    "These contribution statements were collected in a Google Sheet. Specifying which levels of contribution were available (lead, equal, support) was a good level of granularity.\n",
    "\n",
    "### 3b. the curated CRediT-based statement\n",
    "Even this more streamlined, CRediT-based statement suffered from the following remaining problems:\n",
    "* similar tasks were grouped, by different people, under various different CRediT categories (e.g. is 'Building rigs' Methodology or Investigation?)\n",
    "* granularity differences remained: should rig maintanenace, surgeries, husbandry, and animal training all be grouped under 'collected behavioral data'?\n",
    "\n",
    "This was solved in the good old fashioned way of having a huge Zoom meeting, and going one-by-one through each statement to equalize them. Matteo Carandini, Hannah Bayer, Lauren Wool and Gaelle Chapuis took the lead on this, and completed the long list of statements on 3 February 2020.\n",
    "\n",
    "### 4. the curated CRediT-based table\n",
    "While working on a revision of the paper in April 2020, I wanted to put our now-curated text statement back into a table to have a better vizual way of inspecting each person's contributions."
   ]
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>first_name</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Valeria</td>\n",
       "      <td>Aguillon Rodriguez</td>\n",
       "      <td>[Methodology] built, designed and tested behav...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Dora E.</td>\n",
       "      <td>Angelaki</td>\n",
       "      <td>[Funding acquisition] acquired funding (suppor...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hannah M.</td>\n",
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       "      <td>[Project administration] administered the coll...</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Niccolò</td>\n",
       "      <td>Bonacchi</td>\n",
       "      <td>[Data curation] curated data and metadata (equ...</td>\n",
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       "      <th>4</th>\n",
       "      <td>Matteo</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Fanny</td>\n",
       "      <td>Cazettes</td>\n",
       "      <td>[Methodology] piloted candidate behavioral tas...</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gaelle A.</td>\n",
       "      <td>Chapuis</td>\n",
       "      <td>[Project administration] managed the developme...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Anne K.</td>\n",
       "      <td>Churchand</td>\n",
       "      <td>[Funding acquisition] acquired funding (lead)\\...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Yang</td>\n",
       "      <td>Dan</td>\n",
       "      <td>[Funding acquisition] acquired funding (suppor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Eric E.</td>\n",
       "      <td>DeWitt</td>\n",
       "      <td>[Methodology] developed final behavioral task ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mayo</td>\n",
       "      <td>Faulkner</td>\n",
       "      <td>[Investigation] built and maintained rigs, per...</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Hamish</td>\n",
       "      <td>Forrest</td>\n",
       "      <td>[Investigation] built and maintained rigs, per...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Laura M.</td>\n",
       "      <td>Haetzel</td>\n",
       "      <td>[Investigation] built and maintained rigs, per...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Michael</td>\n",
       "      <td>Hausser</td>\n",
       "      <td>[Funding acquisition] acquired funding (lead)\\...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Sonja B.</td>\n",
       "      <td>Hofer</td>\n",
       "      <td>[Funding acquisition] acquired funding (suppor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fei</td>\n",
       "      <td>Hu</td>\n",
       "      <td>[Methodology] reviewed and standardized licens...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Anup</td>\n",
       "      <td>Khanal</td>\n",
       "      <td>[Investigation] built and maintained rigs, per...</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Christopher S.</td>\n",
       "      <td>Krasniak</td>\n",
       "      <td>[Methodology] piloted candidate behavioral tas...</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Inês C.</td>\n",
       "      <td>Laranjeira</td>\n",
       "      <td>[Methodology] piloted candidate behavioral tas...</td>\n",
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       "    <tr>\n",
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       "      <td>Zachary F.</td>\n",
       "      <td>Mainen</td>\n",
       "      <td>[Funding acquisition] acquired funding (suppor...</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Guido T.</td>\n",
       "      <td>Meijer</td>\n",
       "      <td>[Formal analysis] analyzed data for figure 1 (...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Nathaniel J.</td>\n",
       "      <td>Miska</td>\n",
       "      <td>[Investigation] built and maintained rigs, per...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Thomas D.</td>\n",
       "      <td>Mrsic-Flogel</td>\n",
       "      <td>[Funding acquisition] acquired funding (suppor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Masayoshi</td>\n",
       "      <td>Murakami</td>\n",
       "      <td>[Methodology] built, designed and tested behav...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Jean Paul</td>\n",
       "      <td>Noel</td>\n",
       "      <td>[Methodology] reviewed and standardized licens...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Alejandro</td>\n",
       "      <td>Pan Vazquez</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Joshua I.</td>\n",
       "      <td>Sanders</td>\n",
       "      <td>[Methodology] design and delivery of rig compo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Karolina Z.</td>\n",
       "      <td>Socha</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Rebecca</td>\n",
       "      <td>Terry</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Anne E.</td>\n",
       "      <td>Urai</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Hernando M.</td>\n",
       "      <td>Vergara</td>\n",
       "      <td>[Investigation] built and maintained rigs, per...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Miles J.</td>\n",
       "      <td>Wells</td>\n",
       "      <td>[Methodology] built, designed and tested behav...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Christian J.</td>\n",
       "      <td>Wilson</td>\n",
       "      <td>[Investigation] built and maintained rigs, per...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Ilana B.</td>\n",
       "      <td>Witten</td>\n",
       "      <td>[Funding acquisition] acquired funding (suppor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Lauren E.</td>\n",
       "      <td>Wool</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Anthony M.</td>\n",
       "      <td>Zador</td>\n",
       "      <td>[Funding acquisition] acquired funding (equal)...</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "        first_name           last_name  \\\n",
       "0          Valeria  Aguillon Rodriguez   \n",
       "1          Dora E.            Angelaki   \n",
       "2        Hannah M.               Bayer   \n",
       "3          Niccolò            Bonacchi   \n",
       "4           Matteo           Carandini   \n",
       "5            Fanny            Cazettes   \n",
       "6        Gaelle A.             Chapuis   \n",
       "7          Anne K.           Churchand   \n",
       "8             Yang                 Dan   \n",
       "9          Eric E.              DeWitt   \n",
       "10            Mayo            Faulkner   \n",
       "11          Hamish             Forrest   \n",
       "12        Laura M.             Haetzel   \n",
       "13         Michael             Hausser   \n",
       "14        Sonja B.               Hofer   \n",
       "15             Fei                  Hu   \n",
       "16            Anup              Khanal   \n",
       "17  Christopher S.            Krasniak   \n",
       "18         Inês C.          Laranjeira   \n",
       "19      Zachary F.              Mainen   \n",
       "20        Guido T.              Meijer   \n",
       "21    Nathaniel J.               Miska   \n",
       "22       Thomas D.        Mrsic-Flogel   \n",
       "23       Masayoshi            Murakami   \n",
       "24       Jean Paul                Noel   \n",
       "25       Alejandro         Pan Vazquez   \n",
       "26       Joshua I.             Sanders   \n",
       "27     Karolina Z.               Socha   \n",
       "28         Rebecca               Terry   \n",
       "29         Anne E.                Urai   \n",
       "30     Hernando M.             Vergara   \n",
       "31        Miles J.               Wells   \n",
       "32    Christian J.              Wilson   \n",
       "33        Ilana B.              Witten   \n",
       "34       Lauren E.                Wool   \n",
       "35      Anthony M.               Zador   \n",
       "\n",
       "                                               credit  \n",
       "0   [Methodology] built, designed and tested behav...  \n",
       "1   [Funding acquisition] acquired funding (suppor...  \n",
       "2   [Project administration] administered the coll...  \n",
       "3   [Data curation] curated data and metadata (equ...  \n",
       "4   [Funding acquisition] acquired funding (equal)...  \n",
       "5   [Methodology] piloted candidate behavioral tas...  \n",
       "6   [Project administration] managed the developme...  \n",
       "7   [Funding acquisition] acquired funding (lead)\\...  \n",
       "8   [Funding acquisition] acquired funding (suppor...  \n",
       "9   [Methodology] developed final behavioral task ...  \n",
       "10  [Investigation] built and maintained rigs, per...  \n",
       "11  [Investigation] built and maintained rigs, per...  \n",
       "12  [Investigation] built and maintained rigs, per...  \n",
       "13  [Funding acquisition] acquired funding (lead)\\...  \n",
       "14  [Funding acquisition] acquired funding (suppor...  \n",
       "15  [Methodology] reviewed and standardized licens...  \n",
       "16  [Investigation] built and maintained rigs, per...  \n",
       "17  [Methodology] piloted candidate behavioral tas...  \n",
       "18  [Methodology] piloted candidate behavioral tas...  \n",
       "19  [Funding acquisition] acquired funding (suppor...  \n",
       "20  [Formal analysis] analyzed data for figure 1 (...  \n",
       "21  [Investigation] built and maintained rigs, per...  \n",
       "22  [Funding acquisition] acquired funding (suppor...  \n",
       "23  [Methodology] built, designed and tested behav...  \n",
       "24  [Methodology] reviewed and standardized licens...  \n",
       "25  [Investigation] built and maintained rigs, per...  \n",
       "26  [Methodology] design and delivery of rig compo...  \n",
       "27  [Investigation] built and maintained rigs, per...  \n",
       "28  [Investigation] built and maintained rigs, per...  \n",
       "29  [Methodology] built, designed and tested behav...  \n",
       "30  [Investigation] built and maintained rigs, per...  \n",
       "31  [Methodology] built, designed and tested behav...  \n",
       "32  [Investigation] built and maintained rigs, per...  \n",
       "33  [Funding acquisition] acquired funding (suppor...  \n",
       "34  [Methodology] built, designed and tested behav...  \n",
       "35  [Funding acquisition] acquired funding (equal)...  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "sns.set()\n",
    "\n",
    "df = pd.read_csv('Behavior paper (2019) - Contribution statement - Written contributions.csv')\n",
    "df = df.rename(columns={'First Name':'first_name', 'Last Name':'last_name', \n",
    "                        'credit_proposal':'credit'})\n",
    "df = df[['first_name', 'last_name', 'credit']]\n",
    "df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = []\n",
    "for aidx, author in df.groupby(['last_name', 'first_name']):\n",
    "\n",
    "    # tease apart the credit assignment column\n",
    "    statement = author['credit'].item()\n",
    "    if not isinstance(statement, str):\n",
    "        continue\n",
    "    statement_split = statement.split(\"[\")\n",
    "    for s in statement_split:\n",
    "        cat_split = s.split(\"]\")\n",
    "        if len(cat_split) > 1:\n",
    "            credit_category = cat_split[0]\n",
    "            task_split = cat_split[1].split(\")\")\n",
    "            for t in task_split:\n",
    "                contrib_split = t.split(\"(\")\n",
    "                if len(contrib_split) ==2:\n",
    "                    # print(contrib_split)\n",
    "                    task = contrib_split[0]\n",
    "                    contribution = contrib_split[1]\n",
    "                    \n",
    "                    # parse for initials\n",
    "                    words_last = author.last_name.item().split()\n",
    "                    letters_last = [word[0] for word in words_last]\n",
    "                    words_first = author.first_name.item().split()\n",
    "                    letters_first = [word[0] for word in words_first]\n",
    "                    initials = '.'.join(letters_first + letters_last) + '.'\n",
    "                    \n",
    "                    # add these\n",
    "                    new_df.append({'last_name':author.last_name.item(),\n",
    "                                  'first_name':author.first_name.item(),\n",
    "                                  'author_initials':initials,\n",
    "                                  'credit_category': credit_category.lower().replace('–', '-'),\n",
    "                                  'task': task.lower().replace('\\n', '').strip(),\n",
    "                                  'contribution': contribution.lower()})\n",
    "                    \n",
    "new_df = pd.DataFrame(new_df)\n",
    "\n",
    "# add some vars\n",
    "new_df['credit_task'] = new_df.credit_category.str.upper() + '; ' + new_df.task\n",
    "new_df['contribution_level'] = new_df.contribution.map({'lead':3, 'equal':2, 'support':1})\n",
    "new_df['author'] = new_df.last_name + ', ' + new_df.first_name\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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      "text/plain": [
       "author_initials\n",
       "A.E.U.                  [Urai, Anne E.]\n",
       "A.K.                     [Khanal, Anup]\n",
       "A.K.C.             [Churchand, Anne K.]\n",
       "A.M.Z.              [Zador, Anthony M.]\n",
       "A.P.V.         [Pan Vazquez, Alejandro]\n",
       "C.J.W.           [Wilson, Christian J.]\n",
       "C.S.K.       [Krasniak, Christopher S.]\n",
       "D.E.A.              [Angelaki, Dora E.]\n",
       "E.E.D.                [DeWitt, Eric E.]\n",
       "F.C.                  [Cazettes, Fanny]\n",
       "F.H.                          [Hu, Fei]\n",
       "G.A.C.             [Chapuis, Gaelle A.]\n",
       "G.T.M.               [Meijer, Guido T.]\n",
       "H.F.                  [Forrest, Hamish]\n",
       "H.M.B.               [Bayer, Hannah M.]\n",
       "H.M.V.           [Vergara, Hernando M.]\n",
       "I.B.W.               [Witten, Ilana B.]\n",
       "I.C.L.            [Laranjeira, Inês C.]\n",
       "J.I.S.             [Sanders, Joshua I.]\n",
       "J.P.N.                [Noel, Jean Paul]\n",
       "K.Z.S.             [Socha, Karolina Z.]\n",
       "L.E.W.                [Wool, Lauren E.]\n",
       "L.M.H.              [Haetzel, Laura M.]\n",
       "M.C.                [Carandini, Matteo]\n",
       "M.F.                   [Faulkner, Mayo]\n",
       "M.H.                 [Hausser, Michael]\n",
       "M.J.W.                [Wells, Miles J.]\n",
       "M.M.              [Murakami, Masayoshi]\n",
       "N.B.                [Bonacchi, Niccolò]\n",
       "N.J.M.            [Miska, Nathaniel J.]\n",
       "R.T.                   [Terry, Rebecca]\n",
       "S.B.H.                [Hofer, Sonja B.]\n",
       "T.D.M.        [Mrsic-Flogel, Thomas D.]\n",
       "V.A.R.    [Aguillon Rodriguez, Valeria]\n",
       "Y.D.                        [Dan, Yang]\n",
       "Z.F.M.             [Mainen, Zachary F.]\n",
       "Name: author, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ensure initials are unique\n",
    "new_df.groupby(['author_initials'])['author'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['data curation',\n",
       " 'formal analysis',\n",
       " 'funding acquisition',\n",
       " 'investigation',\n",
       " 'methodology',\n",
       " 'project administration',\n",
       " 'resources',\n",
       " 'software',\n",
       " 'supervision',\n",
       " 'writing - original draft',\n",
       " 'writing - review and editing']"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(new_df.credit_category.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DATA CURATION; curated data and metadata',\n",
       " 'DATA CURATION; maintained and validated analysis code',\n",
       " 'FORMAL ANALYSIS; analyzed data for figure 1',\n",
       " 'FORMAL ANALYSIS; analyzed data for figure 2',\n",
       " 'FORMAL ANALYSIS; analyzed data for figure 3',\n",
       " 'FORMAL ANALYSIS; analyzed data for figure 4',\n",
       " 'FORMAL ANALYSIS; analyzed data for figure 5',\n",
       " 'FORMAL ANALYSIS; analyzed data for supplementary figures',\n",
       " 'FUNDING ACQUISITION; acquired funding',\n",
       " 'FUNDING ACQUISITION; generated progress reports',\n",
       " 'INVESTIGATION; built and maintained rigs, performed surgeries, collected behavioral data',\n",
       " 'METHODOLOGY; built, designed and tested behavioral rigs',\n",
       " 'METHODOLOGY; design and delivery of rig components',\n",
       " 'METHODOLOGY; developed final behavioral task',\n",
       " 'METHODOLOGY; developed protocols for surgery, husbandry and animal training',\n",
       " 'METHODOLOGY; piloted candidate behavioral tasks',\n",
       " 'METHODOLOGY; reviewed and standardized licenses and experimental protocols',\n",
       " 'METHODOLOGY; wrote and curated the appendix protocols',\n",
       " 'PROJECT ADMINISTRATION; administered the collaboration',\n",
       " 'PROJECT ADMINISTRATION; attended behavior working group meetings',\n",
       " 'PROJECT ADMINISTRATION; coordinated behavior working group',\n",
       " 'PROJECT ADMINISTRATION; enforced and applied standardized protocols across all institutions',\n",
       " 'PROJECT ADMINISTRATION; managed the development, distribution and usage of training rigs',\n",
       " 'RESOURCES; hosted the research',\n",
       " 'SOFTWARE; developed data acquisition software and infrastructure',\n",
       " 'SUPERVISION; supervised local laboratory research',\n",
       " 'WRITING - ORIGINAL DRAFT; wrote the paper',\n",
       " 'WRITING - REVIEW AND EDITING; edited the paper']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(new_df.credit_task.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df.contribution.unique()\n",
    "assert(all(new_df.groupby(['task'])['credit_category'].nunique() == 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "matrix = new_df.pivot(\"credit_task\", \"author\", \"contribution_level\").fillna(0)\n",
    "matrix.to_csv('contributions_matrixform.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmap = sns.light_palette(\"purple\", n_colors=4)\n",
    "cmap[0] = (0.95, 0.95, 0.95)\n",
    "\n",
    "fig, ax = plt.subplots(1,1,figsize=(14,10))\n",
    "sns.heatmap(matrix, annot=False, yticklabels=True, cmap=cmap, linewidths=.5, ax=ax, cbar=False)\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('')\n",
    "ax.tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False, labeltop=True, rotation=90)\n",
    "plt.tight_layout()\n",
    "fig.savefig('contributions.png', dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "## WRITE THIS OUT FOR THE CONTRIBUTION STATEMENT IN THE PAPER\n",
    "new_df['task'] = new_df['credit_task'] + ' (' + new_df['contribution'] + ')'\n",
    "\n",
    "f = open(\"ContributionStatement.txt\", \"a\")\n",
    "for author, tmpdf in new_df.groupby(['author']):\n",
    "    txt = tmpdf['author_initials'].unique()[0] + ': ' + '; '.join(tmpdf.task.values)\n",
    "    #print(txt)\n",
    "    f.write(txt + \"\\n\")\n",
    "    #f.write('\\n')\n",
    "    #print(tmpdf['author_initials'].unique()[0])\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue 3: the structure of contributions\n",
    "Let's look at the structure of this matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>author</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Chapuis, Gaelle A.</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Urai, Anne E.</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Meijer, Guido T.</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Pan Vazquez, Alejandro</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Wells, Miles J.</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Carandini, Matteo</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Wool, Lauren E.</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bonacchi, Niccolò</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Krasniak, Christopher S.</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cazettes, Fanny</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Noel, Jean Paul</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Zador, Anthony M.</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Hausser, Michael</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Laranjeira, Inês C.</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Churchand, Anne K.</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DeWitt, Eric E.</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Socha, Karolina Z.</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aguillon Rodriguez, Valeria</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Hu, Fei</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Sanders, Joshua I.</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bayer, Hannah M.</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Faulkner, Mayo</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angelaki, Dora E.</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Witten, Ilana B.</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Dan, Yang</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Mainen, Zachary F.</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Hofer, Sonja B.</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Mrsic-Flogel, Thomas D.</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Miska, Nathaniel J.</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Haetzel, Laura M.</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Murakami, Masayoshi</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Vergara, Hernando M.</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Khanal, Anup</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Wilson, Christian J.</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Terry, Rebecca</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Forrest, Hamish</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         author     0\n",
       "6            Chapuis, Gaelle A.  28.0\n",
       "29                Urai, Anne E.  27.0\n",
       "20             Meijer, Guido T.  26.0\n",
       "25       Pan Vazquez, Alejandro  18.0\n",
       "31              Wells, Miles J.  16.0\n",
       "4             Carandini, Matteo  14.0\n",
       "34              Wool, Lauren E.  13.0\n",
       "3             Bonacchi, Niccolò  13.0\n",
       "17     Krasniak, Christopher S.  12.0\n",
       "5               Cazettes, Fanny  11.0\n",
       "24              Noel, Jean Paul  11.0\n",
       "35            Zador, Anthony M.  10.0\n",
       "13             Hausser, Michael  10.0\n",
       "18          Laranjeira, Inês C.   9.0\n",
       "7            Churchand, Anne K.   9.0\n",
       "9               DeWitt, Eric E.   8.0\n",
       "27           Socha, Karolina Z.   8.0\n",
       "0   Aguillon Rodriguez, Valeria   8.0\n",
       "15                      Hu, Fei   7.0\n",
       "26           Sanders, Joshua I.   6.0\n",
       "2              Bayer, Hannah M.   6.0\n",
       "10               Faulkner, Mayo   6.0\n",
       "1             Angelaki, Dora E.   5.0\n",
       "33             Witten, Ilana B.   5.0\n",
       "8                     Dan, Yang   5.0\n",
       "19           Mainen, Zachary F.   5.0\n",
       "14              Hofer, Sonja B.   5.0\n",
       "22      Mrsic-Flogel, Thomas D.   5.0\n",
       "21          Miska, Nathaniel J.   5.0\n",
       "12            Haetzel, Laura M.   4.0\n",
       "23          Murakami, Masayoshi   3.0\n",
       "30         Vergara, Hernando M.   3.0\n",
       "16                 Khanal, Anup   2.0\n",
       "32         Wilson, Christian J.   2.0\n",
       "28               Terry, Rebecca   1.0\n",
       "11              Forrest, Hamish   1.0"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get a super rough estimate of each person's total contributions\n",
    "matrix.sum().reset_index().sort_values(0, ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1296x1080 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.clustermap(matrix.fillna(0), cmap=cmap, linewidths=.5, cbar_pos=None, figsize=(18,15), yticklabels=True)\n",
    "plt.xlabel('')\n",
    "plt.ylabel('')\n",
    "plt.savefig('clustered_contributions.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA, NMF\n",
    "from sklearn.metrics import explained_variance_score\n",
    "\n",
    "# read data\n",
    "V = matrix.reset_index().copy()\n",
    "V.set_index('credit_task', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'metrics' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-58-d08bf9a342d3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\"\"\" Estimate performance of the model on the data \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;32mdef\u001b[0m \u001b[0mget_score\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscorer\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexplained_variance_score\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      6\u001b[0m     \u001b[0mprediction\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minverse_transform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\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[1;32m      7\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mscorer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprediction\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'metrics' is not defined"
     ]
    }
   ],
   "source": [
    "# DETERMINE THE NUMBER OF COMPONENTS\n",
    "# https://stackoverflow.com/questions/48148689/how-to-compare-predictive-power-of-pca-and-nmf\n",
    "\n",
    "\"\"\" Estimate performance of the model on the data \"\"\"\n",
    "def get_score(model, data, scorer=metrics.explained_variance_score):\n",
    "    prediction = model.inverse_transform(model.transform(data))\n",
    "    return scorer(data, prediction)\n",
    "\n",
    "# REPEAT THIS, BUT ON HELD-OUT DATA\n",
    "V_train, V_test = model_selection.train_test_split(V, test_size=0.2, random_state=1)\n",
    "\n",
    "perfs_train = []\n",
    "perfs_test = []\n",
    "for k in range(1, 30):\n",
    "    nmf = decomposition.NMF(n_components=k).fit(V_train)\n",
    "    perfs_train.append(get_score(nmf, V_train))\n",
    "    perfs_test.append(get_score(nmf, V_test))\n",
    "\n",
    "plt.plot(range(1, 30), perfs_train, 'o-', range(1, 30), perfs_test, 'o-')\n",
    "plt.xlabel('# components')\n",
    "plt.ylabel('Fraction variance explained')\n",
    "plt.legend(['Training', 'Testing'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# EYEBALL THIS AND PICK NUMBER OF COMPONENTS\n",
    "n_comp = 7 # can give meaningful names, shown below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# now fit the real NMF model\n",
    "# https://medium.com/logicai/non-negative-matrix-factorization-for-recommendation-systems-985ca8d5c16c \n",
    "nmf = decomposition.NMF(n_components=n_comp).fit(V)\n",
    "H = pd.DataFrame(np.round(nmf.components_, 2), columns=V.columns)\n",
    "\n",
    "# give some meaningful-ish names\n",
    "H.index = ['Data collection', 'PI', 'Coordination and management', 'Task development', 'Software', 'Rig testing', 'Paper writing']\n",
    "\n",
    "W = pd.DataFrame(np.round(nmf.transform(V),2), columns=H.index)\n",
    "W.index = V.index\n",
    "reconstructed = pd.DataFrame(np.round(np.dot(W,H),2), columns=V.columns)\n",
    "reconstructed.index = V.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## LET's look at those results\n",
    "W.style.background_gradient(cmap='PuRd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## LET'S VISUALIZE THIS IN A CLEARER WAY\n",
    "from IPython.display import display\n",
    "\n",
    "for col in W.columns:\n",
    "    Wtmp = W[[col]]\n",
    "    # drop any tasks that are zero\n",
    "    Wtmp.drop(Wtmp[ Wtmp[col] < 0.0001 ].index , inplace=True)\n",
    "    Wtmp = Wtmp.sort_values(by=col, ascending=False)\n",
    "    display(Wtmp.style.background_gradient(cmap='PuRd'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## WHO IS IN EACH OF THESE GROUPS (AND TO WHICH EXTENT?)\n",
    "for row in H.index:\n",
    "    Htmp = H.loc[row].reset_index()\n",
    "    # drop any tasks that are zero\n",
    "    Htmp.drop(Htmp[ Htmp[row] < 0.0001 ].index , inplace=True)\n",
    "    Htmp = Htmp.sort_values(by=row, ascending=False)\n",
    "    display(Htmp.style.background_gradient(cmap='PuRd'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## NOW, WHAT DOES THE NEW CLUSTERING PLOT LOOK LIKE?\n",
    "fig, ax = plt.subplots(2,1,figsize=(12,18))\n",
    "sns.heatmap(matrix, annot=False, yticklabels=True, cmap=cmap, linewidths=.5, ax=ax[0], cbar=False)\n",
    "ax[0].set_xlabel('')\n",
    "ax[0].set_ylabel('')\n",
    "ax[0].tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False, labeltop=True, rotation=90)\n",
    "ax[0].set_title('Original contribution matrix')\n",
    "\n",
    "sns.heatmap(reconstructed, annot=False, yticklabels=True, cmap=cmap, linewidths=.5, ax=ax[1], cbar=False)\n",
    "ax[1].set_xlabel('')\n",
    "ax[1].set_ylabel('')\n",
    "ax[1].tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False, labeltop=False, rotation=90)\n",
    "ax[1].set_title('Reconstructed from %d NFM components'%n_comp)\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:iblenv] *",
   "language": "python",
   "name": "conda-env-iblenv-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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