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# Projet Open Access Compliance Check Tool (OACCT)
Projet P5 de la bibliothèque de l'EPFL en collaboration avec les bibliothèques des Universités de Genève, Lausanne et Berne : https://www.swissuniversities.ch/themen/digitalisierung/p-5-wissenschaftliche-information/projekte/swiss-mooc-service-1-1-1-1
Ce notebook permet de modifier les données extraites des differentes sources et les exporter dans les tables de l'application OACCT.
Auteur : **Pablo Iriarte**, Université de Genève (pablo.iriarte@unige.ch)
Date de dernière mise à jour : 08.09.2021
```python
import pandas as pd
import csv
import json
import numpy as np
import os
# afficher toutes les colonnes
pd.set_option('display.max_columns', None)
# definir le debut des ids
id_start = 1
```
## Ajout des rabais pour les revues des licences Read & Publish
Journals list by publisher :
* https://consortium.ch/elsevier_titlelist_publication
* https://consortium.ch/springer_titlelist_publication
* https://consortium.ch/wiley_titlelist_publish
* https://consortium.ch/tandf_titlelist_publish
* https://consortium.ch/sage_titlelist_publish
* https://consortium.ch/cup_titlelist_publish
Licence term :
* Elsevier : 2020-2023
* Springer Nature : 2020-2022
* Wiley : 2021-2024
* Taylor & Francis : 2021-2023
* Cambridge University Press (CUP) : 2021-2023
CC licences :
* Elsevier : CC-BY, CC-BY-NC-ND
* Springer Nature : CC-BY, CC-BY-NC
* Wiley : CC-BY, CC-BY-NC, CC-BY-NC-ND
* Taylor & Francis : CC-BY
* Cambridge University Press (CUP) : CC-BY, CC-BY-NC, CC-BY-NC-ND, CC-BY-NC-SA
Special conditions :
* Cambridge University Press (CUP) : Only the following article types are covered: Research Articles, Review Articles, Rapid Communication, Brief Reports and Case Reports
## Import du fichier des issns
```python
issn = pd.read_csv('sample/issn.tsv', encoding='utf-8', header=0, sep='\t')
issn
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>id</th>
<th>issn</th>
<th>journal</th>
<th>issn_type</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>0001-2815</td>
<td>532</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>1399-0039</td>
<td>532</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>0001-4842</td>
<td>498</td>
<td>1</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>1520-4898</td>
<td>498</td>
<td>2</td>
</tr>
<tr>
<td>4</td>
<td>5</td>
<td>0001-4966</td>
<td>789</td>
<td>1</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>1755</td>
<td>1756</td>
<td>2470-0045</td>
<td>533</td>
<td>3</td>
</tr>
<tr>
<td>1756</td>
<td>1757</td>
<td>2470-0053</td>
<td>533</td>
<td>2</td>
</tr>
<tr>
<td>1757</td>
<td>1758</td>
<td>2475-9953</td>
<td>608</td>
<td>2</td>
</tr>
<tr>
<td>1758</td>
<td>1759</td>
<td>2504-4427</td>
<td>994</td>
<td>1</td>
</tr>
<tr>
<td>1759</td>
<td>1760</td>
<td>2504-4435</td>
<td>994</td>
<td>3</td>
</tr>
</tbody>
</table>
<p>1760 rows × 4 columns</p>
</div>
```python
# open publishers
publisher = pd.read_csv('sample/publisher.tsv', encoding='utf-8', header=0, sep='\t')
publisher
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>country</th>
<th>city</th>
<th>state</th>
<th>starting_year</th>
<th>website</th>
<th>oa_policies</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Revue Médicale Suisse</td>
<td>999999</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>American Physical Society</td>
<td>236</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>http://www.aps.org/</td>
<td>NaN</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>Public Library of Science</td>
<td>236</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>http://www.plos.org/</td>
<td>NaN</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>999999</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>999999</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>191</td>
<td>[American Medical Association]</td>
<td>999999</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>http://archneur.jamanetwork.com/issues.aspx</td>
<td>NaN</td>
<td>192</td>
</tr>
<tr>
<td>192</td>
<td>Société botanique de Genève</td>
<td>999999</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>193</td>
</tr>
<tr>
<td>193</td>
<td>Red.: Prof. Dr. F. Cavalli, Istituto oncologic...</td>
<td>999999</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>194</td>
</tr>
<tr>
<td>194</td>
<td>Generative Grammar Group of the Department of ...</td>
<td>999999</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>195</td>
</tr>
<tr>
<td>195</td>
<td>UNKNOWN</td>
<td>999999</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>196</td>
</tr>
</tbody>
</table>
<p>196 rows × 8 columns</p>
</div>
```python
publisher.loc[publisher['name'] == 'Elsevier']
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>country</th>
<th>city</th>
<th>state</th>
<th>starting_year</th>
<th>website</th>
<th>oa_policies</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>10</td>
<td>Elsevier</td>
<td>236</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>http://www.elsevier.com/</td>
<td>NaN</td>
<td>11</td>
</tr>
</tbody>
</table>
</div>
```python
publisher.loc[(publisher['name'] == 'Springer Verlag') | (publisher['name'] == 'Nature Research')]
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>country</th>
<th>city</th>
<th>state</th>
<th>starting_year</th>
<th>website</th>
<th>oa_policies</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>8</td>
<td>Nature Research</td>
<td>234</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>http://www.nature.com/</td>
<td>NaN</td>
<td>9</td>
</tr>
<tr>
<td>28</td>
<td>Springer Verlag</td>
<td>83</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>http://www.springerlink.com/?MUD=MP</td>
<td>NaN</td>
<td>29</td>
</tr>
</tbody>
</table>
</div>
```python
publisher.loc[publisher['name'] == 'Wiley']
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>country</th>
<th>city</th>
<th>state</th>
<th>starting_year</th>
<th>website</th>
<th>oa_policies</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>11</td>
<td>Wiley</td>
<td>236</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>https://www.wiley.com/en-gb</td>
<td>NaN</td>
<td>12</td>
</tr>
</tbody>
</table>
</div>
```python
publisher.loc[publisher['name'] == 'Taylor and Francis']
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>country</th>
<th>city</th>
<th>state</th>
<th>starting_year</th>
<th>website</th>
<th>oa_policies</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>23</td>
<td>Taylor and Francis</td>
<td>234</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>http://www.tandf.co.uk/journals/default.asp</td>
<td>NaN</td>
<td>24</td>
</tr>
</tbody>
</table>
</div>
```python
publisher.loc[publisher['name'] == 'Cambridge University Press']
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>country</th>
<th>city</th>
<th>state</th>
<th>starting_year</th>
<th>website</th>
<th>oa_policies</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>60</td>
<td>Cambridge University Press</td>
<td>234</td>
<td>NaN</td>
<td>NaN</td>
<td>0</td>
<td>http://www.cambridge.org/uk/</td>
<td>NaN</td>
<td>61</td>
</tr>
</tbody>
</table>
</div>
```python
# ouvrir la liste d'organisations
participants = pd.read_csv('agreements/consortium_institutions_participation_read_and_publish.csv', encoding='utf-8', header=0, sep='\t')
participants
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Institution</th>
<th>Elsevier</th>
<th>Springer Nature</th>
<th>Wiley</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Agroscope</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>Berner Fachhochschule BFH</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>CERN</td>
<td>NaN</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01ggx4157</td>
</tr>
<tr>
<td>3</td>
<td>Eidgenössisches Hochschulinstitut für Berufsbi...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>4</td>
<td>EPF Lausanne</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>5</td>
<td>ETH Zürich</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05a28rw58</td>
</tr>
<tr>
<td>6</td>
<td>Fachhochschule Graubünden FHGR</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/032ymzc07</td>
</tr>
<tr>
<td>7</td>
<td>Fachhochschule Nordwestschweiz FHNW</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04mq2g308</td>
</tr>
<tr>
<td>8</td>
<td>Forschungsinstitut für biologischen Landbau FibL</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0210tb741</td>
</tr>
<tr>
<td>9</td>
<td>Graduate Institute (IHEID) – since 2021</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/007ygn379</td>
</tr>
<tr>
<td>10</td>
<td>Haute école spécialisée de Suisse occidentale ...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01xkakk17</td>
</tr>
<tr>
<td>11</td>
<td>HEP Berne, Jura, Neuchâtel (HEP-BEJUNE)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/015pmkr43</td>
</tr>
<tr>
<td>12</td>
<td>HEP Fribourg (PHFR)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/048gre751</td>
</tr>
<tr>
<td>13</td>
<td>HEP Vaud</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01bvm0h13</td>
</tr>
<tr>
<td>14</td>
<td>Hochschule für Wirtschaft Zürich HWZ</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02ejkey04</td>
</tr>
<tr>
<td>15</td>
<td>Hochschule Luzern HSLU</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04nd0xd48</td>
</tr>
<tr>
<td>16</td>
<td>Interkantonale Hochschule für Heilpädagogik (HfH)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00w9q2c06</td>
</tr>
<tr>
<td>17</td>
<td>Kalaidos</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/049c2kr37</td>
</tr>
<tr>
<td>18</td>
<td>Lib4RI</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/021f7p178</td>
</tr>
<tr>
<td>19</td>
<td>Medi</td>
<td>NaN</td>
<td>x</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>20</td>
<td>MMV - Medicine for Malaria Ventures</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00p9jf779</td>
</tr>
<tr>
<td>21</td>
<td>Ostschweizer Fachhochschulen OST</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/038mj2660</td>
</tr>
<tr>
<td>22</td>
<td>Pädagogische Hochschule Zürich PHZH</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01awgk221</td>
</tr>
<tr>
<td>23</td>
<td>PH Bern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05jf1ma54</td>
</tr>
<tr>
<td>24</td>
<td>PH Graubünden (PHGR)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02fjgft97</td>
</tr>
<tr>
<td>25</td>
<td>PH Luzern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0235ynq74</td>
</tr>
<tr>
<td>26</td>
<td>PH Schaffhausen (PHSH)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03fs41j10</td>
</tr>
<tr>
<td>27</td>
<td>PH Schwyz</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00rqdn375</td>
</tr>
<tr>
<td>28</td>
<td>PH St. Gallen (PHSG)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05m37v666</td>
</tr>
<tr>
<td>29</td>
<td>PH Thurgau (PHTG)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04bf6dq94</td>
</tr>
<tr>
<td>30</td>
<td>PH Wallis / HEP Valais</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/040gs8e06</td>
</tr>
<tr>
<td>31</td>
<td>PH Zug</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05ghhx264</td>
</tr>
<tr>
<td>32</td>
<td>Schweizerische Vogelwarte</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03mcsbr76</td>
</tr>
<tr>
<td>33</td>
<td>Scuola universitaria professionale della Svizz...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05ep8g269</td>
</tr>
<tr>
<td>34</td>
<td>Università della Svizzera italiana USI</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03c4atk17</td>
</tr>
<tr>
<td>35</td>
<td>Universität Basel</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02s6k3f65</td>
</tr>
<tr>
<td>36</td>
<td>Universität Bern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02k7v4d05</td>
</tr>
<tr>
<td>37</td>
<td>Universität Liechtenstein</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01qjrx392</td>
</tr>
<tr>
<td>38</td>
<td>Universität Luzern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00kgrkn83</td>
</tr>
<tr>
<td>39</td>
<td>Universität St. Gallen</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0561a3s31</td>
</tr>
<tr>
<td>40</td>
<td>Universität Zürich</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02crff812</td>
</tr>
<tr>
<td>41</td>
<td>Université de Fribourg</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/022fs9h90</td>
</tr>
<tr>
<td>42</td>
<td>Université de Genève</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>43</td>
<td>Université de Lausanne</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>44</td>
<td>Université de Neuchâtel</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>45</td>
<td>Zürcher Hochschule der Künste ZHdK</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>46</td>
<td>Zürcher Hochschule für Angewandte Wissenschaft...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
</div>
```python
# suppression de Lib4RI qui est une bibliothèque
participants = participants.loc[participants['Institution'] != 'Lib4RI']
participants
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Institution</th>
<th>Elsevier</th>
<th>Springer Nature</th>
<th>Wiley</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Agroscope</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>Berner Fachhochschule BFH</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>CERN</td>
<td>NaN</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01ggx4157</td>
</tr>
<tr>
<td>3</td>
<td>Eidgenössisches Hochschulinstitut für Berufsbi...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>4</td>
<td>EPF Lausanne</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>5</td>
<td>ETH Zürich</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05a28rw58</td>
</tr>
<tr>
<td>6</td>
<td>Fachhochschule Graubünden FHGR</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/032ymzc07</td>
</tr>
<tr>
<td>7</td>
<td>Fachhochschule Nordwestschweiz FHNW</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04mq2g308</td>
</tr>
<tr>
<td>8</td>
<td>Forschungsinstitut für biologischen Landbau FibL</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0210tb741</td>
</tr>
<tr>
<td>9</td>
<td>Graduate Institute (IHEID) – since 2021</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/007ygn379</td>
</tr>
<tr>
<td>10</td>
<td>Haute école spécialisée de Suisse occidentale ...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01xkakk17</td>
</tr>
<tr>
<td>11</td>
<td>HEP Berne, Jura, Neuchâtel (HEP-BEJUNE)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/015pmkr43</td>
</tr>
<tr>
<td>12</td>
<td>HEP Fribourg (PHFR)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/048gre751</td>
</tr>
<tr>
<td>13</td>
<td>HEP Vaud</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01bvm0h13</td>
</tr>
<tr>
<td>14</td>
<td>Hochschule für Wirtschaft Zürich HWZ</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02ejkey04</td>
</tr>
<tr>
<td>15</td>
<td>Hochschule Luzern HSLU</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04nd0xd48</td>
</tr>
<tr>
<td>16</td>
<td>Interkantonale Hochschule für Heilpädagogik (HfH)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00w9q2c06</td>
</tr>
<tr>
<td>17</td>
<td>Kalaidos</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/049c2kr37</td>
</tr>
<tr>
<td>19</td>
<td>Medi</td>
<td>NaN</td>
<td>x</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>20</td>
<td>MMV - Medicine for Malaria Ventures</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00p9jf779</td>
</tr>
<tr>
<td>21</td>
<td>Ostschweizer Fachhochschulen OST</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/038mj2660</td>
</tr>
<tr>
<td>22</td>
<td>Pädagogische Hochschule Zürich PHZH</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01awgk221</td>
</tr>
<tr>
<td>23</td>
<td>PH Bern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05jf1ma54</td>
</tr>
<tr>
<td>24</td>
<td>PH Graubünden (PHGR)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02fjgft97</td>
</tr>
<tr>
<td>25</td>
<td>PH Luzern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0235ynq74</td>
</tr>
<tr>
<td>26</td>
<td>PH Schaffhausen (PHSH)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03fs41j10</td>
</tr>
<tr>
<td>27</td>
<td>PH Schwyz</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00rqdn375</td>
</tr>
<tr>
<td>28</td>
<td>PH St. Gallen (PHSG)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05m37v666</td>
</tr>
<tr>
<td>29</td>
<td>PH Thurgau (PHTG)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04bf6dq94</td>
</tr>
<tr>
<td>30</td>
<td>PH Wallis / HEP Valais</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/040gs8e06</td>
</tr>
<tr>
<td>31</td>
<td>PH Zug</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05ghhx264</td>
</tr>
<tr>
<td>32</td>
<td>Schweizerische Vogelwarte</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03mcsbr76</td>
</tr>
<tr>
<td>33</td>
<td>Scuola universitaria professionale della Svizz...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05ep8g269</td>
</tr>
<tr>
<td>34</td>
<td>Università della Svizzera italiana USI</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03c4atk17</td>
</tr>
<tr>
<td>35</td>
<td>Universität Basel</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02s6k3f65</td>
</tr>
<tr>
<td>36</td>
<td>Universität Bern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02k7v4d05</td>
</tr>
<tr>
<td>37</td>
<td>Universität Liechtenstein</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01qjrx392</td>
</tr>
<tr>
<td>38</td>
<td>Universität Luzern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00kgrkn83</td>
</tr>
<tr>
<td>39</td>
<td>Universität St. Gallen</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0561a3s31</td>
</tr>
<tr>
<td>40</td>
<td>Universität Zürich</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02crff812</td>
</tr>
<tr>
<td>41</td>
<td>Université de Fribourg</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/022fs9h90</td>
</tr>
<tr>
<td>42</td>
<td>Université de Genève</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>43</td>
<td>Université de Lausanne</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>44</td>
<td>Université de Neuchâtel</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>45</td>
<td>Zürcher Hochschule der Künste ZHdK</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>46</td>
<td>Zürcher Hochschule für Angewandte Wissenschaft...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
</div>
```python
# ajout de TF et CUP pour tous (TODO : obtenir la liste des bibliothèques pour ces deux licences)
participants['TF'] = 'x'
participants['CUP'] = 'x'
participants
```
C:\Users\iriarte\AppData\Local\Continuum\anaconda3\lib\site-packages\ipykernel_launcher.py:2: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
C:\Users\iriarte\AppData\Local\Continuum\anaconda3\lib\site-packages\ipykernel_launcher.py:3: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
This is separate from the ipykernel package so we can avoid doing imports until
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Institution</th>
<th>Elsevier</th>
<th>Springer Nature</th>
<th>Wiley</th>
<th>ROR</th>
<th>TF</th>
<th>CUP</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Agroscope</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04d8ztx87</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>1</td>
<td>Berner Fachhochschule BFH</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02bnkt322</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>2</td>
<td>CERN</td>
<td>NaN</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01ggx4157</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>3</td>
<td>Eidgenössisches Hochschulinstitut für Berufsbi...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00zg4za48</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>4</td>
<td>EPF Lausanne</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02s376052</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>5</td>
<td>ETH Zürich</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05a28rw58</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>6</td>
<td>Fachhochschule Graubünden FHGR</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/032ymzc07</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>7</td>
<td>Fachhochschule Nordwestschweiz FHNW</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04mq2g308</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>8</td>
<td>Forschungsinstitut für biologischen Landbau FibL</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0210tb741</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>9</td>
<td>Graduate Institute (IHEID) – since 2021</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/007ygn379</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>10</td>
<td>Haute école spécialisée de Suisse occidentale ...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01xkakk17</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>11</td>
<td>HEP Berne, Jura, Neuchâtel (HEP-BEJUNE)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/015pmkr43</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>12</td>
<td>HEP Fribourg (PHFR)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/048gre751</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>13</td>
<td>HEP Vaud</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01bvm0h13</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>14</td>
<td>Hochschule für Wirtschaft Zürich HWZ</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02ejkey04</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>15</td>
<td>Hochschule Luzern HSLU</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04nd0xd48</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>16</td>
<td>Interkantonale Hochschule für Heilpädagogik (HfH)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00w9q2c06</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>17</td>
<td>Kalaidos</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/049c2kr37</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>19</td>
<td>Medi</td>
<td>NaN</td>
<td>x</td>
<td>NaN</td>
<td>NaN</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>20</td>
<td>MMV - Medicine for Malaria Ventures</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00p9jf779</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>21</td>
<td>Ostschweizer Fachhochschulen OST</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/038mj2660</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>22</td>
<td>Pädagogische Hochschule Zürich PHZH</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01awgk221</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>23</td>
<td>PH Bern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05jf1ma54</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>24</td>
<td>PH Graubünden (PHGR)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02fjgft97</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>25</td>
<td>PH Luzern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0235ynq74</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>26</td>
<td>PH Schaffhausen (PHSH)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03fs41j10</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>27</td>
<td>PH Schwyz</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00rqdn375</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>28</td>
<td>PH St. Gallen (PHSG)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05m37v666</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>29</td>
<td>PH Thurgau (PHTG)</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/04bf6dq94</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>30</td>
<td>PH Wallis / HEP Valais</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/040gs8e06</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>31</td>
<td>PH Zug</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05ghhx264</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>32</td>
<td>Schweizerische Vogelwarte</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03mcsbr76</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>33</td>
<td>Scuola universitaria professionale della Svizz...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05ep8g269</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>34</td>
<td>Università della Svizzera italiana USI</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/03c4atk17</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>35</td>
<td>Universität Basel</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02s6k3f65</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>36</td>
<td>Universität Bern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02k7v4d05</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>37</td>
<td>Universität Liechtenstein</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01qjrx392</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>38</td>
<td>Universität Luzern</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00kgrkn83</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>39</td>
<td>Universität St. Gallen</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/0561a3s31</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>40</td>
<td>Universität Zürich</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/02crff812</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>41</td>
<td>Université de Fribourg</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/022fs9h90</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>42</td>
<td>Université de Genève</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/01swzsf04</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>43</td>
<td>Université de Lausanne</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/019whta54</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>44</td>
<td>Université de Neuchâtel</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/00vasag41</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>45</td>
<td>Zürcher Hochschule der Künste ZHdK</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05r0ap620</td>
<td>x</td>
<td>x</td>
</tr>
<tr>
<td>46</td>
<td>Zürcher Hochschule für Angewandte Wissenschaft...</td>
<td>x</td>
<td>x</td>
<td>x</td>
<td>https://ror.org/05pmsvm27</td>
<td>x</td>
<td>x</td>
</tr>
</tbody>
</table>
</div>
```python
# ouvrir la liste des journaux Elsevier
elsevier = pd.read_excel('agreements/Elsevier_titlelist_publication.xlsx', skiprows=7)
elsevier
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Academic Pediatrics</td>
<td>1876-2859</td>
</tr>
<tr>
<td>1</td>
<td>Accident Analysis and Prevention</td>
<td>0001-4575</td>
</tr>
<tr>
<td>2</td>
<td>Accounting, Organizations and Society</td>
<td>0361-3682</td>
</tr>
<tr>
<td>3</td>
<td>Acta Astronautica</td>
<td>0094-5765</td>
</tr>
<tr>
<td>4</td>
<td>Acta Biomaterialia</td>
<td>1742-7061</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>2240</td>
<td>Wound Medicine</td>
<td>2213-9095</td>
</tr>
<tr>
<td>2241</td>
<td>Zeitschrift fuer Evidenz, Fortbildung und Qual...</td>
<td>1865-9217</td>
</tr>
<tr>
<td>2242</td>
<td>Zeitschrift fuer Medizinische Physik</td>
<td>0939-3889</td>
</tr>
<tr>
<td>2243</td>
<td>Zoologischer Anzeiger</td>
<td>0044-5231</td>
</tr>
<tr>
<td>2244</td>
<td>Zoology</td>
<td>0944-2006</td>
</tr>
</tbody>
</table>
<p>2245 rows × 2 columns</p>
</div>
```python
# ajout du champ version
elsevier['article_version'] = 'published'
elsevier
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
<th>article_version</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Academic Pediatrics</td>
<td>1876-2859</td>
<td>published</td>
</tr>
<tr>
<td>1</td>
<td>Accident Analysis and Prevention</td>
<td>0001-4575</td>
<td>published</td>
</tr>
<tr>
<td>2</td>
<td>Accounting, Organizations and Society</td>
<td>0361-3682</td>
<td>published</td>
</tr>
<tr>
<td>3</td>
<td>Acta Astronautica</td>
<td>0094-5765</td>
<td>published</td>
</tr>
<tr>
<td>4</td>
<td>Acta Biomaterialia</td>
<td>1742-7061</td>
<td>published</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>2240</td>
<td>Wound Medicine</td>
<td>2213-9095</td>
<td>published</td>
</tr>
<tr>
<td>2241</td>
<td>Zeitschrift fuer Evidenz, Fortbildung und Qual...</td>
<td>1865-9217</td>
<td>published</td>
</tr>
<tr>
<td>2242</td>
<td>Zeitschrift fuer Medizinische Physik</td>
<td>0939-3889</td>
<td>published</td>
</tr>
<tr>
<td>2243</td>
<td>Zoologischer Anzeiger</td>
<td>0044-5231</td>
<td>published</td>
</tr>
<tr>
<td>2244</td>
<td>Zoology</td>
<td>0944-2006</td>
<td>published</td>
</tr>
</tbody>
</table>
<p>2245 rows × 3 columns</p>
</div>
```python
# ajout des dates
elsevier['valid_from'] = '2020-01-01'
elsevier['valid_until'] = '2023-12-31'
elsevier
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
<th>article_version</th>
<th>valid_from</th>
<th>valid_until</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Academic Pediatrics</td>
<td>1876-2859</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>1</td>
<td>Accident Analysis and Prevention</td>
<td>0001-4575</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2</td>
<td>Accounting, Organizations and Society</td>
<td>0361-3682</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>3</td>
<td>Acta Astronautica</td>
<td>0094-5765</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>4</td>
<td>Acta Biomaterialia</td>
<td>1742-7061</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>2240</td>
<td>Wound Medicine</td>
<td>2213-9095</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2241</td>
<td>Zeitschrift fuer Evidenz, Fortbildung und Qual...</td>
<td>1865-9217</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2242</td>
<td>Zeitschrift fuer Medizinische Physik</td>
<td>0939-3889</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2243</td>
<td>Zoologischer Anzeiger</td>
<td>0044-5231</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2244</td>
<td>Zoology</td>
<td>0944-2006</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
</tbody>
</table>
<p>2245 rows × 5 columns</p>
</div>
```python
# ajout du embargo et archiving
elsevier['embargo_months'] = 0
elsevier['archiving'] = True
elsevier
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
<th>article_version</th>
<th>valid_from</th>
<th>valid_until</th>
<th>embargo_months</th>
<th>archiving</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Academic Pediatrics</td>
<td>1876-2859</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>1</td>
<td>Accident Analysis and Prevention</td>
<td>0001-4575</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>2</td>
<td>Accounting, Organizations and Society</td>
<td>0361-3682</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>3</td>
<td>Acta Astronautica</td>
<td>0094-5765</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>4</td>
<td>Acta Biomaterialia</td>
<td>1742-7061</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>2240</td>
<td>Wound Medicine</td>
<td>2213-9095</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>2241</td>
<td>Zeitschrift fuer Evidenz, Fortbildung und Qual...</td>
<td>1865-9217</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>2242</td>
<td>Zeitschrift fuer Medizinische Physik</td>
<td>0939-3889</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>2243</td>
<td>Zoologischer Anzeiger</td>
<td>0044-5231</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
<tr>
<td>2244</td>
<td>Zoology</td>
<td>0944-2006</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
</tr>
</tbody>
</table>
<p>2245 rows × 7 columns</p>
</div>
```python
elsevier.iloc[elsevier.shape[0]-1]
```
Title Zoology
ISSN 0944-2006
article_version published
valid_from 2020-01-01
valid_until 2023-12-31
embargo_months 0
archiving True
Name: 2244, dtype: object
```python
# ajout du champ license
# cc_by, cc_by_nc_nd
rp = pd.DataFrame()
elsevier['article_version'] = 'published'
elsevier['license'] = 'cc_by'
elsevier['Elsevier'] = 'x'
rp = rp.append(elsevier, ignore_index=True)
elsevier['license'] = 'cc_by_nc_nd'
rp = rp.append(elsevier, ignore_index=True)
rp
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
<th>article_version</th>
<th>valid_from</th>
<th>valid_until</th>
<th>embargo_months</th>
<th>archiving</th>
<th>license</th>
<th>Elsevier</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Academic Pediatrics</td>
<td>1876-2859</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by</td>
<td>x</td>
</tr>
<tr>
<td>1</td>
<td>Accident Analysis and Prevention</td>
<td>0001-4575</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by</td>
<td>x</td>
</tr>
<tr>
<td>2</td>
<td>Accounting, Organizations and Society</td>
<td>0361-3682</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by</td>
<td>x</td>
</tr>
<tr>
<td>3</td>
<td>Acta Astronautica</td>
<td>0094-5765</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by</td>
<td>x</td>
</tr>
<tr>
<td>4</td>
<td>Acta Biomaterialia</td>
<td>1742-7061</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by</td>
<td>x</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>4485</td>
<td>Wound Medicine</td>
<td>2213-9095</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by_nc_nd</td>
<td>x</td>
</tr>
<tr>
<td>4486</td>
<td>Zeitschrift fuer Evidenz, Fortbildung und Qual...</td>
<td>1865-9217</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by_nc_nd</td>
<td>x</td>
</tr>
<tr>
<td>4487</td>
<td>Zeitschrift fuer Medizinische Physik</td>
<td>0939-3889</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by_nc_nd</td>
<td>x</td>
</tr>
<tr>
<td>4488</td>
<td>Zoologischer Anzeiger</td>
<td>0044-5231</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by_nc_nd</td>
<td>x</td>
</tr>
<tr>
<td>4489</td>
<td>Zoology</td>
<td>0944-2006</td>
<td>published</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0</td>
<td>True</td>
<td>cc_by_nc_nd</td>
<td>x</td>
</tr>
</tbody>
</table>
<p>4490 rows × 9 columns</p>
</div>
```python
# ouvrir la liste des journaux Springer Nature
springer = pd.read_excel('agreements/Springer_titlelist_publication.xlsx', skiprows=7)
springer
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
<th>URL</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>3 Biotech</td>
<td>2190-5738</td>
<td>https://www.springer.com/journal/13205</td>
</tr>
<tr>
<td>1</td>
<td>4OR</td>
<td>1614-2411</td>
<td>https://www.springer.com/journal/10288</td>
</tr>
<tr>
<td>2</td>
<td>AAPS PharmSciTech</td>
<td>1530-9932</td>
<td>https://www.springer.com/journal/12249</td>
</tr>
<tr>
<td>3</td>
<td>Abdominal Radiology</td>
<td>2366-0058</td>
<td>https://www.springer.com/journal/261</td>
</tr>
<tr>
<td>4</td>
<td>Abhandlungen aus dem Mathematischen Seminar de...</td>
<td>1865-8784</td>
<td>https://www.springer.com/journal/12188</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>2035</td>
<td>Zeitschrift für Religion, Gesellschaft und Pol...</td>
<td>2510-1226</td>
<td>https://www.springer.com/journal/41682</td>
</tr>
<tr>
<td>2036</td>
<td>Zeitschrift für Rheumatologie</td>
<td>1435-1250</td>
<td>https://www.springer.com/journal/393</td>
</tr>
<tr>
<td>2037</td>
<td>Zeitschrift für Vergleichende Politikwissenschaft</td>
<td>1865-2654</td>
<td>https://www.springer.com/journal/12286</td>
</tr>
<tr>
<td>2038</td>
<td>Zentralblatt für Arbeitsmedizin, Arbeitsschutz...</td>
<td>2198-0713</td>
<td>https://www.springer.com/journal/40664</td>
</tr>
<tr>
<td>2039</td>
<td>Zoomorphology</td>
<td>1432-234X</td>
<td>https://www.springer.com/journal/435</td>
</tr>
</tbody>
</table>
<p>2040 rows × 3 columns</p>
</div>
```python
# ajout du champ license
# cc_by, cc_by_nc
springer['article_version'] = 'published'
springer['license'] = 'cc_by'
springer['Springer Nature'] = 'x'
# ajout des dates
springer['valid_from'] = '2020-01-01'
springer['valid_until'] = '2022-12-31'
# ajout du embargo et archiving
springer['embargo_months'] = 0
springer['archiving'] = True
```
```python
# append
rp = rp.append(springer, ignore_index=True)
springer['license'] = 'cc_by_nc'
rp = rp.append(springer, ignore_index=True)
rp
```
C:\Users\iriarte\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\frame.py:7123: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version
of pandas will change to not sort by default.
To accept the future behavior, pass 'sort=False'.
To retain the current behavior and silence the warning, pass 'sort=True'.
sort=sort,
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Elsevier</th>
<th>ISSN</th>
<th>Springer Nature</th>
<th>Title</th>
<th>URL</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>1</td>
<td>x</td>
<td>0001-4575</td>
<td>NaN</td>
<td>Accident Analysis and Prevention</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2</td>
<td>x</td>
<td>0361-3682</td>
<td>NaN</td>
<td>Accounting, Organizations and Society</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>3</td>
<td>x</td>
<td>0094-5765</td>
<td>NaN</td>
<td>Acta Astronautica</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>4</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>8565</td>
<td>NaN</td>
<td>2510-1226</td>
<td>x</td>
<td>Zeitschrift für Religion, Gesellschaft und Pol...</td>
<td>https://www.springer.com/journal/41682</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
</tr>
<tr>
<td>8566</td>
<td>NaN</td>
<td>1435-1250</td>
<td>x</td>
<td>Zeitschrift für Rheumatologie</td>
<td>https://www.springer.com/journal/393</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
</tr>
<tr>
<td>8567</td>
<td>NaN</td>
<td>1865-2654</td>
<td>x</td>
<td>Zeitschrift für Vergleichende Politikwissenschaft</td>
<td>https://www.springer.com/journal/12286</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
</tr>
<tr>
<td>8568</td>
<td>NaN</td>
<td>2198-0713</td>
<td>x</td>
<td>Zentralblatt für Arbeitsmedizin, Arbeitsschutz...</td>
<td>https://www.springer.com/journal/40664</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
</tr>
<tr>
<td>8569</td>
<td>NaN</td>
<td>1432-234X</td>
<td>x</td>
<td>Zoomorphology</td>
<td>https://www.springer.com/journal/435</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
</tr>
</tbody>
</table>
<p>8570 rows × 11 columns</p>
</div>
```python
# ouvrir la liste des journaux Wiley
wiley = pd.read_excel('agreements/Wiley_titlelist_publish.xlsx', skiprows=7)
wiley
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
<th>URL</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>ABACUS</td>
<td>1467-6281</td>
<td>https://onlinelibrary.wiley.com/journal/14676281</td>
</tr>
<tr>
<td>1</td>
<td>ACADEMIC EMERGENCY MEDICINE</td>
<td>1553-2712</td>
<td>https://onlinelibrary.wiley.com/journal/15532712</td>
</tr>
<tr>
<td>2</td>
<td>ACCOUNTING &amp; FINANCE</td>
<td>1467-629X</td>
<td>https://onlinelibrary.wiley.com/journal/1467629X</td>
</tr>
<tr>
<td>3</td>
<td>ACCOUNTING PERSPECTIVES</td>
<td>1911-3838</td>
<td>https://onlinelibrary.wiley.com/journal/19113838</td>
</tr>
<tr>
<td>4</td>
<td>ACTA ANAESTHESIOLOGICA SCANDINAVICA</td>
<td>1399-6576</td>
<td>https://onlinelibrary.wiley.com/journal/13996576</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>1391</td>
<td>ZEITSCHRIFT FüR ANORGANISCHE UND ALLGEMEINE CH...</td>
<td>1521-3749</td>
<td>https://onlinelibrary.wiley.com/journal/15213749</td>
</tr>
<tr>
<td>1392</td>
<td>ZOO BIOLOGY</td>
<td>1098-2361</td>
<td>https://onlinelibrary.wiley.com/journal/10982361</td>
</tr>
<tr>
<td>1393</td>
<td>ZOOLOGICA SCRIPTA</td>
<td>1463-6409</td>
<td>https://onlinelibrary.wiley.com/journal/14636409</td>
</tr>
<tr>
<td>1394</td>
<td>ZOONOSES AND PUBLIC HEALTH</td>
<td>1863-2378</td>
<td>https://onlinelibrary.wiley.com/journal/18632378</td>
</tr>
<tr>
<td>1395</td>
<td>ZYGON® JOURNAL OF RELIGION AND SCIENCE</td>
<td>1467-9744</td>
<td>https://onlinelibrary.wiley.com/journal/14679744</td>
</tr>
</tbody>
</table>
<p>1396 rows × 3 columns</p>
</div>
```python
# ajout du champ license
# cc_by, cc_by_nc, cc_by_nc_nd
wiley['article_version'] = 'published'
wiley['license'] = 'cc_by'
wiley['Wiley'] = 'x'
# ajout des dates
wiley['valid_from'] = '2021-01-01'
wiley['valid_until'] = '2024-12-31'
# ajout du embargo et archiving
wiley['embargo_months'] = 0
wiley['archiving'] = True
rp = rp.append(wiley, ignore_index=True)
# append avec une autre licence
wiley['license'] = 'cc_by_nc'
rp = rp.append(wiley, ignore_index=True)
# append avec une autre licence
wiley['license'] = 'cc_by_nc_nd'
rp = rp.append(wiley, ignore_index=True)
rp
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Elsevier</th>
<th>ISSN</th>
<th>Springer Nature</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>1</td>
<td>x</td>
<td>0001-4575</td>
<td>NaN</td>
<td>Accident Analysis and Prevention</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2</td>
<td>x</td>
<td>0361-3682</td>
<td>NaN</td>
<td>Accounting, Organizations and Society</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>3</td>
<td>x</td>
<td>0094-5765</td>
<td>NaN</td>
<td>Acta Astronautica</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>4</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>12753</td>
<td>NaN</td>
<td>1521-3749</td>
<td>NaN</td>
<td>ZEITSCHRIFT FüR ANORGANISCHE UND ALLGEMEINE CH...</td>
<td>https://onlinelibrary.wiley.com/journal/15213749</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
</tr>
<tr>
<td>12754</td>
<td>NaN</td>
<td>1098-2361</td>
<td>NaN</td>
<td>ZOO BIOLOGY</td>
<td>https://onlinelibrary.wiley.com/journal/10982361</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
</tr>
<tr>
<td>12755</td>
<td>NaN</td>
<td>1463-6409</td>
<td>NaN</td>
<td>ZOOLOGICA SCRIPTA</td>
<td>https://onlinelibrary.wiley.com/journal/14636409</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
</tr>
<tr>
<td>12756</td>
<td>NaN</td>
<td>1863-2378</td>
<td>NaN</td>
<td>ZOONOSES AND PUBLIC HEALTH</td>
<td>https://onlinelibrary.wiley.com/journal/18632378</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
</tr>
<tr>
<td>12757</td>
<td>NaN</td>
<td>1467-9744</td>
<td>NaN</td>
<td>ZYGON® JOURNAL OF RELIGION AND SCIENCE</td>
<td>https://onlinelibrary.wiley.com/journal/14679744</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
</tr>
</tbody>
</table>
<p>12758 rows × 12 columns</p>
</div>
```python
# ouvrir la liste des journaux TF
tf = pd.read_excel('agreements/TandF_titlelist_publish.xlsx', skiprows=7)
tf
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>a/b: Auto/Biography Studies</td>
<td>2151-7290</td>
</tr>
<tr>
<td>1</td>
<td>Accountability in Research</td>
<td>1545-5815</td>
</tr>
<tr>
<td>2</td>
<td>Accounting and Business Research</td>
<td>2159-4260</td>
</tr>
<tr>
<td>3</td>
<td>Accounting Education</td>
<td>1468-4489</td>
</tr>
<tr>
<td>4</td>
<td>Accounting Forum</td>
<td>1467-6303</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>2401</td>
<td>Writing Systems Research</td>
<td>NaN</td>
</tr>
<tr>
<td>2402</td>
<td>Xenobiotica</td>
<td>1366-5928</td>
</tr>
<tr>
<td>2403</td>
<td>Yorkshire Archaeological Journal</td>
<td>2045-0664</td>
</tr>
<tr>
<td>2404</td>
<td>Youth Theatre Journal</td>
<td>1948-4798</td>
</tr>
<tr>
<td>2405</td>
<td>Zoology in the Middle East</td>
<td>2326-2680</td>
</tr>
</tbody>
</table>
<p>2406 rows × 2 columns</p>
</div>
```python
# ajout du champ license
# cc_by, cc_by_nc, cc_by_nc_nd
tf['article_version'] = 'published'
tf['license'] = 'cc_by'
tf['TF'] = 'x'
# ajout des dates
tf['valid_from'] = '2021-01-01'
tf['valid_until'] = '2023-12-31'
# ajout du embargo et archiving
tf['embargo_months'] = 0
tf['archiving'] = True
```
```python
# append
rp = rp.append(tf, ignore_index=True)
rp
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Elsevier</th>
<th>ISSN</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>1</td>
<td>x</td>
<td>0001-4575</td>
<td>NaN</td>
<td>NaN</td>
<td>Accident Analysis and Prevention</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2</td>
<td>x</td>
<td>0361-3682</td>
<td>NaN</td>
<td>NaN</td>
<td>Accounting, Organizations and Society</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>3</td>
<td>x</td>
<td>0094-5765</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Astronautica</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>4</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>15159</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>x</td>
<td>Writing Systems Research</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>15160</td>
<td>NaN</td>
<td>1366-5928</td>
<td>NaN</td>
<td>x</td>
<td>Xenobiotica</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>15161</td>
<td>NaN</td>
<td>2045-0664</td>
<td>NaN</td>
<td>x</td>
<td>Yorkshire Archaeological Journal</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>15162</td>
<td>NaN</td>
<td>1948-4798</td>
<td>NaN</td>
<td>x</td>
<td>Youth Theatre Journal</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>15163</td>
<td>NaN</td>
<td>2326-2680</td>
<td>NaN</td>
<td>x</td>
<td>Zoology in the Middle East</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
</tbody>
</table>
<p>15164 rows × 13 columns</p>
</div>
```python
# ouvrir la liste des journaux CUP
cup = pd.read_excel('agreements/CUP_Journals_titlelist_publish.xlsx', skiprows=7)
cup
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>e-ISSN</th>
<th>URL</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Agricultural and Resource Economics Review</td>
<td>2372-2614</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>1</td>
<td>AJIL Unbound</td>
<td>2398-7723</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>2</td>
<td>Annals of Glaciology</td>
<td>1727-5644</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>3</td>
<td>APSIPA Transactions on Signal and Information ...</td>
<td>2048-7703</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>4</td>
<td>Biological Imaging</td>
<td>2633-903X</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>366</td>
<td>Visual Neuroscience</td>
<td>1469-8714</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>367</td>
<td>Weed Science</td>
<td>1550-2759</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>368</td>
<td>Weed Technology</td>
<td>1550-2740</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>369</td>
<td>World Trade Review</td>
<td>1475-3138</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>370</td>
<td>Zygote</td>
<td>1469-8730</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
</tbody>
</table>
<p>371 rows × 3 columns</p>
</div>
```python
# renommer l'ISSN
cup = cup.rename(columns = {'e-ISSN' : 'ISSN'})
cup
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Title</th>
<th>ISSN</th>
<th>URL</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Agricultural and Resource Economics Review</td>
<td>2372-2614</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>1</td>
<td>AJIL Unbound</td>
<td>2398-7723</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>2</td>
<td>Annals of Glaciology</td>
<td>1727-5644</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>3</td>
<td>APSIPA Transactions on Signal and Information ...</td>
<td>2048-7703</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>4</td>
<td>Biological Imaging</td>
<td>2633-903X</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>366</td>
<td>Visual Neuroscience</td>
<td>1469-8714</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>367</td>
<td>Weed Science</td>
<td>1550-2759</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>368</td>
<td>Weed Technology</td>
<td>1550-2740</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>369</td>
<td>World Trade Review</td>
<td>1475-3138</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
<tr>
<td>370</td>
<td>Zygote</td>
<td>1469-8730</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
</tr>
</tbody>
</table>
<p>371 rows × 3 columns</p>
</div>
```python
# ajout du champ license
# cc_by, cc_by_nc, cc_by_nc_nd, cc_by_nc_sa
cup['article_version'] = 'published'
cup['license'] = 'cc_by'
cup['CUP'] = 'x'
# ajout des dates
cup['valid_from'] = '2021-01-01'
cup['valid_until'] = '2023-12-31'
# ajout du embargo et archiving
cup['embargo_months'] = 60
cup['archiving'] = True
```
```python
# append
rp = rp.append(cup, ignore_index=True)
cup['license'] = 'cc_by_nc'
rp = rp.append(cup, ignore_index=True)
cup['license'] = 'cc_by_nc_nd'
rp = rp.append(cup, ignore_index=True)
cup['license'] = 'cc_by_nc_sa'
rp = rp.append(cup, ignore_index=True)
rp
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>ISSN</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>0001-4575</td>
<td>NaN</td>
<td>NaN</td>
<td>Accident Analysis and Prevention</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>0361-3682</td>
<td>NaN</td>
<td>NaN</td>
<td>Accounting, Organizations and Society</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>0094-5765</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Astronautica</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>16643</td>
<td>x</td>
<td>NaN</td>
<td>1469-8714</td>
<td>NaN</td>
<td>NaN</td>
<td>Visual Neuroscience</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>16644</td>
<td>x</td>
<td>NaN</td>
<td>1550-2759</td>
<td>NaN</td>
<td>NaN</td>
<td>Weed Science</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>16645</td>
<td>x</td>
<td>NaN</td>
<td>1550-2740</td>
<td>NaN</td>
<td>NaN</td>
<td>Weed Technology</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>16646</td>
<td>x</td>
<td>NaN</td>
<td>1475-3138</td>
<td>NaN</td>
<td>NaN</td>
<td>World Trade Review</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
<tr>
<td>16647</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
</tr>
</tbody>
</table>
<p>16648 rows × 14 columns</p>
</div>
```python
# test des lignes sans embargo
rp.loc[rp['embargo_months'].isna()]
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>ISSN</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
```python
# ajout des ISSN-L
issnl = pd.read_csv('issn/20171102.ISSN-to-ISSN-L.txt', encoding='utf-8', header=0, sep='\t')
issnl
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>ISSN</th>
<th>ISSN-L</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>0000-0019</td>
<td>0000-0019</td>
</tr>
<tr>
<td>1</td>
<td>0000-0027</td>
<td>0000-0027</td>
</tr>
<tr>
<td>2</td>
<td>0000-0043</td>
<td>0000-0043</td>
</tr>
<tr>
<td>3</td>
<td>0000-0051</td>
<td>0000-0051</td>
</tr>
<tr>
<td>4</td>
<td>0000-006X</td>
<td>0000-006X</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>1995913</td>
<td>8756-9957</td>
<td>8756-9957</td>
</tr>
<tr>
<td>1995914</td>
<td>8756-9965</td>
<td>8756-9965</td>
</tr>
<tr>
<td>1995915</td>
<td>8756-9973</td>
<td>8756-9973</td>
</tr>
<tr>
<td>1995916</td>
<td>8756-9981</td>
<td>8756-9981</td>
</tr>
<tr>
<td>1995917</td>
<td>8756-999X</td>
<td>8756-999X</td>
</tr>
</tbody>
</table>
<p>1995918 rows × 2 columns</p>
</div>
```python
# renommer les colonnes
issnl = issnl.rename(columns={'ISSN' : 'issn', 'ISSN-L' : 'issnl'})
rp = rp.rename(columns={'ISSN' : 'issn'})
```
```python
# merge
rp = pd.merge(rp, issnl, on='issn', how='left')
rp
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>0001-4575</td>
<td>NaN</td>
<td>NaN</td>
<td>Accident Analysis and Prevention</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0001-4575</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>0361-3682</td>
<td>NaN</td>
<td>NaN</td>
<td>Accounting, Organizations and Society</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0361-3682</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>0094-5765</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Astronautica</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0094-5765</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>16643</td>
<td>x</td>
<td>NaN</td>
<td>1469-8714</td>
<td>NaN</td>
<td>NaN</td>
<td>Visual Neuroscience</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0952-5238</td>
</tr>
<tr>
<td>16644</td>
<td>x</td>
<td>NaN</td>
<td>1550-2759</td>
<td>NaN</td>
<td>NaN</td>
<td>Weed Science</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0043-1745</td>
</tr>
<tr>
<td>16645</td>
<td>x</td>
<td>NaN</td>
<td>1550-2740</td>
<td>NaN</td>
<td>NaN</td>
<td>Weed Technology</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0890-037X</td>
</tr>
<tr>
<td>16646</td>
<td>x</td>
<td>NaN</td>
<td>1475-3138</td>
<td>NaN</td>
<td>NaN</td>
<td>World Trade Review</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1474-7456</td>
</tr>
<tr>
<td>16647</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
</tr>
</tbody>
</table>
<p>16648 rows × 15 columns</p>
</div>
```python
# cummuler les issns pour le merge
# rp_1 = rp.loc[rp['issnl'].notna()][['issnl', 'article_version', 'license', 'Elsevier', 'Springer Nature', 'Wiley', 'TF', 'CUP']]
# rp_1 = rp_1.rename(columns = {'issnl' : 'issn'})
# rp_2 = rp.loc[rp['issn'].notna()][['issn', 'article_version', 'license', 'Elsevier', 'Springer Nature', 'Wiley', 'TF', 'CUP']]
# rp_all = rp_1.append(rp_2, ignore_index=True)
rp_all = rp
```
```python
# ajouter les champs manquants
# valeur discount (id 2) à 100% pour les licences read & publish
# elsevier['amount'] = 100
# elsevier['symbol'] = '%'
# elsevier['cost_factor_type'] = 2
# elsevier['comment'] = 'Source: swissuniversities'
# elsevier
```
```python
# merge avec les organisations
# 'Elsevier', 'Springer Nature', 'Wiley', 'TF', 'CUP'
participants_elsevier = participants.loc[participants['Elsevier'].notna()][['Elsevier', 'ROR']]
rp_elsevier = rp_all.loc[rp_all['Elsevier'].notna()]
rp_1 = pd.merge(rp_elsevier, participants_elsevier, on='Elsevier', how='outer')
rp_1
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/05a28rw58</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>197555</td>
<td>NaN</td>
<td>x</td>
<td>0944-2006</td>
<td>NaN</td>
<td>NaN</td>
<td>Zoology</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0944-2006</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>197556</td>
<td>NaN</td>
<td>x</td>
<td>0944-2006</td>
<td>NaN</td>
<td>NaN</td>
<td>Zoology</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0944-2006</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>197557</td>
<td>NaN</td>
<td>x</td>
<td>0944-2006</td>
<td>NaN</td>
<td>NaN</td>
<td>Zoology</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0944-2006</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>197558</td>
<td>NaN</td>
<td>x</td>
<td>0944-2006</td>
<td>NaN</td>
<td>NaN</td>
<td>Zoology</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0944-2006</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>197559</td>
<td>NaN</td>
<td>x</td>
<td>0944-2006</td>
<td>NaN</td>
<td>NaN</td>
<td>Zoology</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0944-2006</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
<p>197560 rows × 16 columns</p>
</div>
```python
rp_elsevier
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>0001-4575</td>
<td>NaN</td>
<td>NaN</td>
<td>Accident Analysis and Prevention</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0001-4575</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>0361-3682</td>
<td>NaN</td>
<td>NaN</td>
<td>Accounting, Organizations and Society</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0361-3682</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>0094-5765</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Astronautica</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0094-5765</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>4485</td>
<td>NaN</td>
<td>x</td>
<td>2213-9095</td>
<td>NaN</td>
<td>NaN</td>
<td>Wound Medicine</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>2213-9095</td>
</tr>
<tr>
<td>4486</td>
<td>NaN</td>
<td>x</td>
<td>1865-9217</td>
<td>NaN</td>
<td>NaN</td>
<td>Zeitschrift fuer Evidenz, Fortbildung und Qual...</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1865-9217</td>
</tr>
<tr>
<td>4487</td>
<td>NaN</td>
<td>x</td>
<td>0939-3889</td>
<td>NaN</td>
<td>NaN</td>
<td>Zeitschrift fuer Medizinische Physik</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0939-3889</td>
</tr>
<tr>
<td>4488</td>
<td>NaN</td>
<td>x</td>
<td>0044-5231</td>
<td>NaN</td>
<td>NaN</td>
<td>Zoologischer Anzeiger</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0044-5231</td>
</tr>
<tr>
<td>4489</td>
<td>NaN</td>
<td>x</td>
<td>0944-2006</td>
<td>NaN</td>
<td>NaN</td>
<td>Zoology</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>0944-2006</td>
</tr>
</tbody>
</table>
<p>4490 rows × 15 columns</p>
</div>
```python
participants_elsevier
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Elsevier</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>x</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>x</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>3</td>
<td>x</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>4</td>
<td>x</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>5</td>
<td>x</td>
<td>https://ror.org/05a28rw58</td>
</tr>
<tr>
<td>6</td>
<td>x</td>
<td>https://ror.org/032ymzc07</td>
</tr>
<tr>
<td>7</td>
<td>x</td>
<td>https://ror.org/04mq2g308</td>
</tr>
<tr>
<td>8</td>
<td>x</td>
<td>https://ror.org/0210tb741</td>
</tr>
<tr>
<td>9</td>
<td>x</td>
<td>https://ror.org/007ygn379</td>
</tr>
<tr>
<td>10</td>
<td>x</td>
<td>https://ror.org/01xkakk17</td>
</tr>
<tr>
<td>11</td>
<td>x</td>
<td>https://ror.org/015pmkr43</td>
</tr>
<tr>
<td>12</td>
<td>x</td>
<td>https://ror.org/048gre751</td>
</tr>
<tr>
<td>13</td>
<td>x</td>
<td>https://ror.org/01bvm0h13</td>
</tr>
<tr>
<td>14</td>
<td>x</td>
<td>https://ror.org/02ejkey04</td>
</tr>
<tr>
<td>15</td>
<td>x</td>
<td>https://ror.org/04nd0xd48</td>
</tr>
<tr>
<td>16</td>
<td>x</td>
<td>https://ror.org/00w9q2c06</td>
</tr>
<tr>
<td>17</td>
<td>x</td>
<td>https://ror.org/049c2kr37</td>
</tr>
<tr>
<td>20</td>
<td>x</td>
<td>https://ror.org/00p9jf779</td>
</tr>
<tr>
<td>21</td>
<td>x</td>
<td>https://ror.org/038mj2660</td>
</tr>
<tr>
<td>22</td>
<td>x</td>
<td>https://ror.org/01awgk221</td>
</tr>
<tr>
<td>23</td>
<td>x</td>
<td>https://ror.org/05jf1ma54</td>
</tr>
<tr>
<td>24</td>
<td>x</td>
<td>https://ror.org/02fjgft97</td>
</tr>
<tr>
<td>25</td>
<td>x</td>
<td>https://ror.org/0235ynq74</td>
</tr>
<tr>
<td>26</td>
<td>x</td>
<td>https://ror.org/03fs41j10</td>
</tr>
<tr>
<td>27</td>
<td>x</td>
<td>https://ror.org/00rqdn375</td>
</tr>
<tr>
<td>28</td>
<td>x</td>
<td>https://ror.org/05m37v666</td>
</tr>
<tr>
<td>29</td>
<td>x</td>
<td>https://ror.org/04bf6dq94</td>
</tr>
<tr>
<td>30</td>
<td>x</td>
<td>https://ror.org/040gs8e06</td>
</tr>
<tr>
<td>31</td>
<td>x</td>
<td>https://ror.org/05ghhx264</td>
</tr>
<tr>
<td>32</td>
<td>x</td>
<td>https://ror.org/03mcsbr76</td>
</tr>
<tr>
<td>33</td>
<td>x</td>
<td>https://ror.org/05ep8g269</td>
</tr>
<tr>
<td>34</td>
<td>x</td>
<td>https://ror.org/03c4atk17</td>
</tr>
<tr>
<td>35</td>
<td>x</td>
<td>https://ror.org/02s6k3f65</td>
</tr>
<tr>
<td>36</td>
<td>x</td>
<td>https://ror.org/02k7v4d05</td>
</tr>
<tr>
<td>37</td>
<td>x</td>
<td>https://ror.org/01qjrx392</td>
</tr>
<tr>
<td>38</td>
<td>x</td>
<td>https://ror.org/00kgrkn83</td>
</tr>
<tr>
<td>39</td>
<td>x</td>
<td>https://ror.org/0561a3s31</td>
</tr>
<tr>
<td>40</td>
<td>x</td>
<td>https://ror.org/02crff812</td>
</tr>
<tr>
<td>41</td>
<td>x</td>
<td>https://ror.org/022fs9h90</td>
</tr>
<tr>
<td>42</td>
<td>x</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>43</td>
<td>x</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>44</td>
<td>x</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>45</td>
<td>x</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>46</td>
<td>x</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
</div>
```python
# merge avec les organisations
# 'Elsevier', 'Springer Nature', 'Wiley', 'TF', 'CUP'
participants_springer = participants.loc[participants['Springer Nature'].notna()][['Springer Nature', 'ROR']]
rp_springer = rp_all.loc[rp_all['Springer Nature'].notna()]
rp_2 = pd.merge(rp_springer, participants_springer, on='Springer Nature', how='outer')
rp_2
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>2190-5738</td>
<td>x</td>
<td>NaN</td>
<td>3 Biotech</td>
<td>https://www.springer.com/journal/13205</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>2190-5738</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>NaN</td>
<td>2190-5738</td>
<td>x</td>
<td>NaN</td>
<td>3 Biotech</td>
<td>https://www.springer.com/journal/13205</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>2190-5738</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>NaN</td>
<td>2190-5738</td>
<td>x</td>
<td>NaN</td>
<td>3 Biotech</td>
<td>https://www.springer.com/journal/13205</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>2190-5738</td>
<td>https://ror.org/01ggx4157</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>NaN</td>
<td>2190-5738</td>
<td>x</td>
<td>NaN</td>
<td>3 Biotech</td>
<td>https://www.springer.com/journal/13205</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>2190-5738</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>NaN</td>
<td>2190-5738</td>
<td>x</td>
<td>NaN</td>
<td>3 Biotech</td>
<td>https://www.springer.com/journal/13205</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>2190-5738</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>187675</td>
<td>NaN</td>
<td>NaN</td>
<td>1432-234X</td>
<td>x</td>
<td>NaN</td>
<td>Zoomorphology</td>
<td>https://www.springer.com/journal/435</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>0720-213X</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>187676</td>
<td>NaN</td>
<td>NaN</td>
<td>1432-234X</td>
<td>x</td>
<td>NaN</td>
<td>Zoomorphology</td>
<td>https://www.springer.com/journal/435</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>0720-213X</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>187677</td>
<td>NaN</td>
<td>NaN</td>
<td>1432-234X</td>
<td>x</td>
<td>NaN</td>
<td>Zoomorphology</td>
<td>https://www.springer.com/journal/435</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>0720-213X</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>187678</td>
<td>NaN</td>
<td>NaN</td>
<td>1432-234X</td>
<td>x</td>
<td>NaN</td>
<td>Zoomorphology</td>
<td>https://www.springer.com/journal/435</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>0720-213X</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>187679</td>
<td>NaN</td>
<td>NaN</td>
<td>1432-234X</td>
<td>x</td>
<td>NaN</td>
<td>Zoomorphology</td>
<td>https://www.springer.com/journal/435</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc</td>
<td>2020-01-01</td>
<td>2022-12-31</td>
<td>0720-213X</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
<p>187680 rows × 16 columns</p>
</div>
```python
# merge avec les organisations
# 'Elsevier', 'Springer Nature', 'Wiley', 'TF', 'CUP'
participants_wiley = participants.loc[participants['Wiley'].notna()][['Wiley', 'ROR']]
rp_wiley = rp_all.loc[rp_all['Wiley'].notna()]
rp_3 = pd.merge(rp_wiley, participants_wiley, on='Wiley', how='outer')
rp_3
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-6281</td>
<td>NaN</td>
<td>NaN</td>
<td>ABACUS</td>
<td>https://onlinelibrary.wiley.com/journal/14676281</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0001-3072</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-6281</td>
<td>NaN</td>
<td>NaN</td>
<td>ABACUS</td>
<td>https://onlinelibrary.wiley.com/journal/14676281</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0001-3072</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-6281</td>
<td>NaN</td>
<td>NaN</td>
<td>ABACUS</td>
<td>https://onlinelibrary.wiley.com/journal/14676281</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0001-3072</td>
<td>https://ror.org/01ggx4157</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-6281</td>
<td>NaN</td>
<td>NaN</td>
<td>ABACUS</td>
<td>https://onlinelibrary.wiley.com/journal/14676281</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0001-3072</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-6281</td>
<td>NaN</td>
<td>NaN</td>
<td>ABACUS</td>
<td>https://onlinelibrary.wiley.com/journal/14676281</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0001-3072</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>188455</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-9744</td>
<td>NaN</td>
<td>NaN</td>
<td>ZYGON® JOURNAL OF RELIGION AND SCIENCE</td>
<td>https://onlinelibrary.wiley.com/journal/14679744</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0591-2385</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>188456</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-9744</td>
<td>NaN</td>
<td>NaN</td>
<td>ZYGON® JOURNAL OF RELIGION AND SCIENCE</td>
<td>https://onlinelibrary.wiley.com/journal/14679744</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0591-2385</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>188457</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-9744</td>
<td>NaN</td>
<td>NaN</td>
<td>ZYGON® JOURNAL OF RELIGION AND SCIENCE</td>
<td>https://onlinelibrary.wiley.com/journal/14679744</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0591-2385</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>188458</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-9744</td>
<td>NaN</td>
<td>NaN</td>
<td>ZYGON® JOURNAL OF RELIGION AND SCIENCE</td>
<td>https://onlinelibrary.wiley.com/journal/14679744</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0591-2385</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>188459</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-9744</td>
<td>NaN</td>
<td>NaN</td>
<td>ZYGON® JOURNAL OF RELIGION AND SCIENCE</td>
<td>https://onlinelibrary.wiley.com/journal/14679744</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0591-2385</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
<p>188460 rows × 16 columns</p>
</div>
```python
rp_wiley
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
</tr>
</thead>
<tbody>
<tr>
<td>8570</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-6281</td>
<td>NaN</td>
<td>NaN</td>
<td>ABACUS</td>
<td>https://onlinelibrary.wiley.com/journal/14676281</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0001-3072</td>
</tr>
<tr>
<td>8571</td>
<td>NaN</td>
<td>NaN</td>
<td>1553-2712</td>
<td>NaN</td>
<td>NaN</td>
<td>ACADEMIC EMERGENCY MEDICINE</td>
<td>https://onlinelibrary.wiley.com/journal/15532712</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>1069-6563</td>
</tr>
<tr>
<td>8572</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-629X</td>
<td>NaN</td>
<td>NaN</td>
<td>ACCOUNTING &amp; FINANCE</td>
<td>https://onlinelibrary.wiley.com/journal/1467629X</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0810-5391</td>
</tr>
<tr>
<td>8573</td>
<td>NaN</td>
<td>NaN</td>
<td>1911-3838</td>
<td>NaN</td>
<td>NaN</td>
<td>ACCOUNTING PERSPECTIVES</td>
<td>https://onlinelibrary.wiley.com/journal/19113838</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>1911-382X</td>
</tr>
<tr>
<td>8574</td>
<td>NaN</td>
<td>NaN</td>
<td>1399-6576</td>
<td>NaN</td>
<td>NaN</td>
<td>ACTA ANAESTHESIOLOGICA SCANDINAVICA</td>
<td>https://onlinelibrary.wiley.com/journal/13996576</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0001-5172</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>12753</td>
<td>NaN</td>
<td>NaN</td>
<td>1521-3749</td>
<td>NaN</td>
<td>NaN</td>
<td>ZEITSCHRIFT FüR ANORGANISCHE UND ALLGEMEINE CH...</td>
<td>https://onlinelibrary.wiley.com/journal/15213749</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0044-2313</td>
</tr>
<tr>
<td>12754</td>
<td>NaN</td>
<td>NaN</td>
<td>1098-2361</td>
<td>NaN</td>
<td>NaN</td>
<td>ZOO BIOLOGY</td>
<td>https://onlinelibrary.wiley.com/journal/10982361</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0733-3188</td>
</tr>
<tr>
<td>12755</td>
<td>NaN</td>
<td>NaN</td>
<td>1463-6409</td>
<td>NaN</td>
<td>NaN</td>
<td>ZOOLOGICA SCRIPTA</td>
<td>https://onlinelibrary.wiley.com/journal/14636409</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0300-3256</td>
</tr>
<tr>
<td>12756</td>
<td>NaN</td>
<td>NaN</td>
<td>1863-2378</td>
<td>NaN</td>
<td>NaN</td>
<td>ZOONOSES AND PUBLIC HEALTH</td>
<td>https://onlinelibrary.wiley.com/journal/18632378</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>1863-1959</td>
</tr>
<tr>
<td>12757</td>
<td>NaN</td>
<td>NaN</td>
<td>1467-9744</td>
<td>NaN</td>
<td>NaN</td>
<td>ZYGON® JOURNAL OF RELIGION AND SCIENCE</td>
<td>https://onlinelibrary.wiley.com/journal/14679744</td>
<td>x</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by_nc_nd</td>
<td>2021-01-01</td>
<td>2024-12-31</td>
<td>0591-2385</td>
</tr>
</tbody>
</table>
<p>4188 rows × 15 columns</p>
</div>
```python
# merge avec les organisations
# 'Elsevier', 'Springer Nature', 'Wiley', 'TF', 'CUP'
participants_tf = participants.loc[participants['TF'].notna()][['TF', 'ROR']]
rp_tf = rp_all.loc[rp_all['TF'].notna()]
rp_4 = pd.merge(rp_tf, participants_tf, on='TF', how='outer')
rp_4
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>NaN</td>
<td>2151-7290</td>
<td>NaN</td>
<td>x</td>
<td>a/b: Auto/Biography Studies</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0898-9575</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>NaN</td>
<td>2151-7290</td>
<td>NaN</td>
<td>x</td>
<td>a/b: Auto/Biography Studies</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0898-9575</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>NaN</td>
<td>2151-7290</td>
<td>NaN</td>
<td>x</td>
<td>a/b: Auto/Biography Studies</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0898-9575</td>
<td>https://ror.org/01ggx4157</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>NaN</td>
<td>2151-7290</td>
<td>NaN</td>
<td>x</td>
<td>a/b: Auto/Biography Studies</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0898-9575</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>NaN</td>
<td>2151-7290</td>
<td>NaN</td>
<td>x</td>
<td>a/b: Auto/Biography Studies</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0898-9575</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>110671</td>
<td>NaN</td>
<td>NaN</td>
<td>2326-2680</td>
<td>NaN</td>
<td>x</td>
<td>Zoology in the Middle East</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0939-7140</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>110672</td>
<td>NaN</td>
<td>NaN</td>
<td>2326-2680</td>
<td>NaN</td>
<td>x</td>
<td>Zoology in the Middle East</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0939-7140</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>110673</td>
<td>NaN</td>
<td>NaN</td>
<td>2326-2680</td>
<td>NaN</td>
<td>x</td>
<td>Zoology in the Middle East</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0939-7140</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>110674</td>
<td>NaN</td>
<td>NaN</td>
<td>2326-2680</td>
<td>NaN</td>
<td>x</td>
<td>Zoology in the Middle East</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0939-7140</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>110675</td>
<td>NaN</td>
<td>NaN</td>
<td>2326-2680</td>
<td>NaN</td>
<td>x</td>
<td>Zoology in the Middle East</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0939-7140</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
<p>110676 rows × 16 columns</p>
</div>
```python
# merge avec les organisations
# 'Elsevier', 'Springer Nature', 'Wiley', 'TF', 'CUP'
participants_cup = participants.loc[participants['CUP'].notna()][['CUP', 'ROR']]
rp_cup = rp_all.loc[rp_all['CUP'].notna()]
rp_5 = pd.merge(rp_cup, participants_cup, on='CUP', how='outer')
rp_5
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>x</td>
<td>NaN</td>
<td>2372-2614</td>
<td>NaN</td>
<td>NaN</td>
<td>Agricultural and Resource Economics Review</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1068-2805</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>x</td>
<td>NaN</td>
<td>2372-2614</td>
<td>NaN</td>
<td>NaN</td>
<td>Agricultural and Resource Economics Review</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1068-2805</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>x</td>
<td>NaN</td>
<td>2372-2614</td>
<td>NaN</td>
<td>NaN</td>
<td>Agricultural and Resource Economics Review</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1068-2805</td>
<td>https://ror.org/01ggx4157</td>
</tr>
<tr>
<td>3</td>
<td>x</td>
<td>NaN</td>
<td>2372-2614</td>
<td>NaN</td>
<td>NaN</td>
<td>Agricultural and Resource Economics Review</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1068-2805</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>4</td>
<td>x</td>
<td>NaN</td>
<td>2372-2614</td>
<td>NaN</td>
<td>NaN</td>
<td>Agricultural and Resource Economics Review</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1068-2805</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>68259</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>68260</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>68261</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>68262</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>68263</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
<p>68264 rows × 16 columns</p>
</div>
```python
# concat des 5
rp_fin = rp_1.append(rp_2, ignore_index=True)
rp_fin = rp_fin.append(rp_3, ignore_index=True)
rp_fin = rp_fin.append(rp_4, ignore_index=True)
rp_fin = rp_fin.append(rp_5, ignore_index=True)
rp_fin
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/05a28rw58</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>752635</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>752636</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>752637</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>752638</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>752639</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
<p>752640 rows × 16 columns</p>
</div>
```python
# supprimer les doublons et les vides
rp_fin = rp_fin.dropna(subset=['issn'])
rp_fin = rp_fin.drop_duplicates(subset=['issn', 'license', 'ROR'])
rp_fin
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/04d8ztx87</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02bnkt322</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/00zg4za48</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02s376052</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/05a28rw58</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>752635</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/01swzsf04</td>
</tr>
<tr>
<td>752636</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/019whta54</td>
</tr>
<tr>
<td>752637</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/00vasag41</td>
</tr>
<tr>
<td>752638</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05r0ap620</td>
</tr>
<tr>
<td>752639</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05pmsvm27</td>
</tr>
</tbody>
</table>
<p>751628 rows × 16 columns</p>
</div>
```python
# reindex et ajout de l'id avec l'index + 1
rp_fin = rp_fin.reset_index()
del rp_fin['index']
rp_fin = rp_fin.reset_index()
rp_fin['rp_id'] = rp_fin.index + 1
rp_fin
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>index</th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>rp_id</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/04d8ztx87</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02bnkt322</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/00zg4za48</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02s376052</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/05a28rw58</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>751623</td>
<td>751623</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/01swzsf04</td>
<td>751624</td>
</tr>
<tr>
<td>751624</td>
<td>751624</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/019whta54</td>
<td>751625</td>
</tr>
<tr>
<td>751625</td>
<td>751625</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/00vasag41</td>
<td>751626</td>
</tr>
<tr>
<td>751626</td>
<td>751626</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05r0ap620</td>
<td>751627</td>
</tr>
<tr>
<td>751627</td>
<td>751627</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05pmsvm27</td>
<td>751628</td>
</tr>
</tbody>
</table>
<p>751628 rows × 18 columns</p>
</div>
```python
rp_fin['embargo_months'].value_counts()
```
0 683364
60 68264
Name: embargo_months, dtype: int64
```python
# test des lignes sans embargo
rp_fin.loc[rp_fin['embargo_months'].isna()]
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>index</th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>rp_id</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
```python
issn
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>id</th>
<th>issn</th>
<th>journal</th>
<th>issn_type</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>0001-2815</td>
<td>532</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>1399-0039</td>
<td>532</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>0001-4842</td>
<td>498</td>
<td>1</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>1520-4898</td>
<td>498</td>
<td>2</td>
</tr>
<tr>
<td>4</td>
<td>5</td>
<td>0001-4966</td>
<td>789</td>
<td>1</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>1755</td>
<td>1756</td>
<td>2470-0045</td>
<td>533</td>
<td>3</td>
</tr>
<tr>
<td>1756</td>
<td>1757</td>
<td>2470-0053</td>
<td>533</td>
<td>2</td>
</tr>
<tr>
<td>1757</td>
<td>1758</td>
<td>2475-9953</td>
<td>608</td>
<td>2</td>
</tr>
<tr>
<td>1758</td>
<td>1759</td>
<td>2504-4427</td>
<td>994</td>
<td>1</td>
</tr>
<tr>
<td>1759</td>
<td>1760</td>
<td>2504-4435</td>
<td>994</td>
<td>3</td>
</tr>
</tbody>
</table>
<p>1760 rows × 4 columns</p>
</div>
```python
# merge pour avoir l'issnl
issn = pd.merge(issn, issnl, on='issn', how='left')
issn
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>id</th>
<th>issn</th>
<th>journal</th>
<th>issn_type</th>
<th>issnl</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>0001-2815</td>
<td>532</td>
<td>1</td>
<td>0001-2815</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>1399-0039</td>
<td>532</td>
<td>2</td>
<td>0001-2815</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>0001-4842</td>
<td>498</td>
<td>1</td>
<td>0001-4842</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>1520-4898</td>
<td>498</td>
<td>2</td>
<td>0001-4842</td>
</tr>
<tr>
<td>4</td>
<td>5</td>
<td>0001-4966</td>
<td>789</td>
<td>1</td>
<td>0001-4966</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>1755</td>
<td>1756</td>
<td>2470-0045</td>
<td>533</td>
<td>3</td>
<td>2470-0045</td>
</tr>
<tr>
<td>1756</td>
<td>1757</td>
<td>2470-0053</td>
<td>533</td>
<td>2</td>
<td>2470-0045</td>
</tr>
<tr>
<td>1757</td>
<td>1758</td>
<td>2475-9953</td>
<td>608</td>
<td>2</td>
<td>2475-9953</td>
</tr>
<tr>
<td>1758</td>
<td>1759</td>
<td>2504-4427</td>
<td>994</td>
<td>1</td>
<td>2504-4427</td>
</tr>
<tr>
<td>1759</td>
<td>1760</td>
<td>2504-4435</td>
<td>994</td>
<td>3</td>
<td>2504-4427</td>
</tr>
</tbody>
</table>
<p>1760 rows × 5 columns</p>
</div>
```python
issn.loc[issn['issnl'].isna()]
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>id</th>
<th>issn</th>
<th>journal</th>
<th>issn_type</th>
<th>issnl</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
```python
# merge dans l'autre sens pour garder que les lignes du fichier
rp_fin = pd.merge(rp_fin, issn[['id', 'journal', 'issnl']], on='issnl', how='left')
rp_fin
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>index</th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>rp_id</th>
<th>id</th>
<th>journal</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/04d8ztx87</td>
<td>1</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>1</td>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02bnkt322</td>
<td>2</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>2</td>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/00zg4za48</td>
<td>3</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>3</td>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/02s376052</td>
<td>4</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1876-2859</td>
<td>NaN</td>
<td>NaN</td>
<td>Academic Pediatrics</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1876-2859</td>
<td>https://ror.org/05a28rw58</td>
<td>5</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>792211</td>
<td>751623</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/01swzsf04</td>
<td>751624</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>792212</td>
<td>751624</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/019whta54</td>
<td>751625</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>792213</td>
<td>751625</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/00vasag41</td>
<td>751626</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>792214</td>
<td>751626</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05r0ap620</td>
<td>751627</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<td>792215</td>
<td>751627</td>
<td>x</td>
<td>NaN</td>
<td>1469-8730</td>
<td>NaN</td>
<td>NaN</td>
<td>Zygote</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>0967-1994</td>
<td>https://ror.org/05pmsvm27</td>
<td>751628</td>
<td>NaN</td>
<td>NaN</td>
</tr>
</tbody>
</table>
<p>792216 rows × 20 columns</p>
</div>
```python
# test des lignes sans embargo
rp_fin.loc[rp_fin['embargo_months'].isna() & rp_fin['id'].notna()]
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>index</th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>rp_id</th>
<th>id</th>
<th>journal</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
```python
# garder les lignes avec merge
rp_fin_merge = rp_fin.loc[rp_fin['id'].notna()]
rp_fin_merge
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>index</th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>rp_id</th>
<th>id</th>
<th>journal</th>
</tr>
</thead>
<tbody>
<tr>
<td>176</td>
<td>176</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/04d8ztx87</td>
<td>177</td>
<td>1623.0</td>
<td>899.0</td>
</tr>
<tr>
<td>177</td>
<td>176</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/04d8ztx87</td>
<td>177</td>
<td>1624.0</td>
<td>899.0</td>
</tr>
<tr>
<td>178</td>
<td>177</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/02bnkt322</td>
<td>178</td>
<td>1623.0</td>
<td>899.0</td>
</tr>
<tr>
<td>179</td>
<td>177</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/02bnkt322</td>
<td>178</td>
<td>1624.0</td>
<td>899.0</td>
</tr>
<tr>
<td>180</td>
<td>178</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/00zg4za48</td>
<td>179</td>
<td>1623.0</td>
<td>899.0</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>788071</td>
<td>747485</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/00vasag41</td>
<td>747486</td>
<td>1419.0</td>
<td>592.0</td>
</tr>
<tr>
<td>788072</td>
<td>747486</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05r0ap620</td>
<td>747487</td>
<td>1418.0</td>
<td>592.0</td>
</tr>
<tr>
<td>788073</td>
<td>747486</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05r0ap620</td>
<td>747487</td>
<td>1419.0</td>
<td>592.0</td>
</tr>
<tr>
<td>788074</td>
<td>747487</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05pmsvm27</td>
<td>747488</td>
<td>1418.0</td>
<td>592.0</td>
</tr>
<tr>
<td>788075</td>
<td>747487</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05pmsvm27</td>
<td>747488</td>
<td>1419.0</td>
<td>592.0</td>
</tr>
</tbody>
</table>
<p>80671 rows × 20 columns</p>
</div>
```python
# supprimer les doublons et les vides
rp_fin_merge = rp_fin_merge.drop_duplicates(subset=['rp_id'])
rp_fin_merge
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>index</th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>rp_id</th>
<th>id</th>
<th>journal</th>
</tr>
</thead>
<tbody>
<tr>
<td>176</td>
<td>176</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/04d8ztx87</td>
<td>177</td>
<td>1623.0</td>
<td>899.0</td>
</tr>
<tr>
<td>178</td>
<td>177</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/02bnkt322</td>
<td>178</td>
<td>1623.0</td>
<td>899.0</td>
</tr>
<tr>
<td>180</td>
<td>178</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/00zg4za48</td>
<td>179</td>
<td>1623.0</td>
<td>899.0</td>
</tr>
<tr>
<td>182</td>
<td>179</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/02s376052</td>
<td>180</td>
<td>1623.0</td>
<td>899.0</td>
</tr>
<tr>
<td>184</td>
<td>180</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/05a28rw58</td>
<td>181</td>
<td>1623.0</td>
<td>899.0</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>788066</td>
<td>747483</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/01swzsf04</td>
<td>747484</td>
<td>1418.0</td>
<td>592.0</td>
</tr>
<tr>
<td>788068</td>
<td>747484</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/019whta54</td>
<td>747485</td>
<td>1418.0</td>
<td>592.0</td>
</tr>
<tr>
<td>788070</td>
<td>747485</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/00vasag41</td>
<td>747486</td>
<td>1418.0</td>
<td>592.0</td>
</tr>
<tr>
<td>788072</td>
<td>747486</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05r0ap620</td>
<td>747487</td>
<td>1418.0</td>
<td>592.0</td>
</tr>
<tr>
<td>788074</td>
<td>747487</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05pmsvm27</td>
<td>747488</td>
<td>1418.0</td>
<td>592.0</td>
</tr>
</tbody>
</table>
<p>40083 rows × 20 columns</p>
</div>
```python
# test des lignes sans journal
rp_fin_merge.loc[rp_fin_merge['journal'].isna()]
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>index</th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>rp_id</th>
<th>id</th>
<th>journal</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
```python
# convertir l'index en id
del rp_fin_merge['id']
del rp_fin_merge['index']
del rp_fin_merge['rp_id']
rp_fin_merge = rp_fin_merge.reset_index()
# ajout de l'id avec l'index + 1
rp_fin_merge['rp_id'] = rp_fin_merge['index'] + 1
del rp_fin_merge['index']
rp_fin_merge
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>journal</th>
<th>rp_id</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/04d8ztx87</td>
<td>899.0</td>
<td>177</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/02bnkt322</td>
<td>899.0</td>
<td>179</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/00zg4za48</td>
<td>899.0</td>
<td>181</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/02s376052</td>
<td>899.0</td>
<td>183</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/05a28rw58</td>
<td>899.0</td>
<td>185</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>40078</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/01swzsf04</td>
<td>592.0</td>
<td>788067</td>
</tr>
<tr>
<td>40079</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/019whta54</td>
<td>592.0</td>
<td>788069</td>
</tr>
<tr>
<td>40080</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/00vasag41</td>
<td>592.0</td>
<td>788071</td>
</tr>
<tr>
<td>40081</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05r0ap620</td>
<td>592.0</td>
<td>788073</td>
</tr>
<tr>
<td>40082</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05pmsvm27</td>
<td>592.0</td>
<td>788075</td>
</tr>
</tbody>
</table>
<p>40083 rows × 18 columns</p>
</div>
```python
# convertir l'index en id
del rp_fin_merge['rp_id']
rp_fin_merge = rp_fin_merge.reset_index()
# ajout de l'id avec l'index + 1
rp_fin_merge['rp_id'] = rp_fin_merge['index'] + 1
del rp_fin_merge['index']
rp_fin_merge
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>journal</th>
<th>rp_id</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/04d8ztx87</td>
<td>899.0</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/02bnkt322</td>
<td>899.0</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/00zg4za48</td>
<td>899.0</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/02s376052</td>
<td>899.0</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>x</td>
<td>1742-7061</td>
<td>NaN</td>
<td>NaN</td>
<td>Acta Biomaterialia</td>
<td>NaN</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>0</td>
<td>cc_by</td>
<td>2020-01-01</td>
<td>2023-12-31</td>
<td>1742-7061</td>
<td>https://ror.org/05a28rw58</td>
<td>899.0</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>40078</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/01swzsf04</td>
<td>592.0</td>
<td>40079</td>
</tr>
<tr>
<td>40079</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/019whta54</td>
<td>592.0</td>
<td>40080</td>
</tr>
<tr>
<td>40080</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/00vasag41</td>
<td>592.0</td>
<td>40081</td>
</tr>
<tr>
<td>40081</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05r0ap620</td>
<td>592.0</td>
<td>40082</td>
</tr>
<tr>
<td>40082</td>
<td>x</td>
<td>NaN</td>
<td>1435-8115</td>
<td>NaN</td>
<td>NaN</td>
<td>Microscopy and Microanalysis</td>
<td>http://www.cambridge.org/core/product/identifi...</td>
<td>NaN</td>
<td>True</td>
<td>published</td>
<td>60</td>
<td>cc_by_nc_sa</td>
<td>2021-01-01</td>
<td>2023-12-31</td>
<td>1431-9276</td>
<td>https://ror.org/05pmsvm27</td>
<td>592.0</td>
<td>40083</td>
</tr>
</tbody>
</table>
<p>40083 rows × 18 columns</p>
</div>
```python
rp_fin_merge['embargo_months'].value_counts()
```
0 39163
60 920
Name: embargo_months, dtype: int64
```python
# test des lignes sans embargo
rp_fin_merge.loc[rp_fin_merge['embargo_months'].isna()]
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>CUP</th>
<th>Elsevier</th>
<th>issn</th>
<th>Springer Nature</th>
<th>TF</th>
<th>Title</th>
<th>URL</th>
<th>Wiley</th>
<th>archiving</th>
<th>article_version</th>
<th>embargo_months</th>
<th>license</th>
<th>valid_from</th>
<th>valid_until</th>
<th>issnl</th>
<th>ROR</th>
<th>journal</th>
<th>rp_id</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
```python
# export excel
rp_fin_merge.to_excel('sample/read_publish_brut_merge.xlsx', index=False)
```
```python
# export csv
rp_fin_merge.to_csv('sample/read_publish_brut_merge.tsv', sep='\t', index=False)
```
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