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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 d'extraire les données choisis parmis les sources obtenues par API et les traiter pour les rendre exploitables dans l'application OACCT.
Auteur : **Pablo Iriarte**, Université de Genève (pablo.iriarte@unige.ch)
Date de dernière mise à jour : 16.07.2021
## Extraction des données des éditeurs
Sources :
1. Données de ISSN.org (JSON)
### Format des données source
* Noeud : "@graph"
* spatial & publisher :
* "@id": "resource/ISSN/0140-6736",
* "spatial": [
"http://id.loc.gov/vocabulary/countries/ne",
"https://www.iso.org/obp/ui/#iso:code:3166:NL"
],
Exemple avec plusieurs éditeurs dans le temps :
"publisher": [
"resource/ISSN/0140-6736#Publisher-Elsevier",
"resource/ISSN/0140-6736#Publisher-J._Onwhyn"
],
{
"@id": "resource/ISSN/0140-6736#LatestPublicationEvent",
"@type": "http://schema.org/PublicationEvent",
"publishedBy": "resource/ISSN/0140-6736#Publisher-Elsevier",
"location": "resource/ISSN/0140-6736#PublicationPlace-Amsterdam"
},
{
"@id": "resource/ISSN/0140-6736#Publisher-Elsevier",
"@type": "http://schema.org/Organization",
"name": "Elsevier"
},
Exemple avec un seul éditeur dans le temps :
"publisher": "resource/ISSN/0899-8418#Publisher-Wiley",
{
"@id": "resource/ISSN/0899-8418#EarliestPublicationEvent",
"@type": "http://schema.org/PublicationEvent",
"publishedBy": "resource/ISSN/0899-8418#Publisher-Wiley",
"temporal": "c1989-",
"location": [
"resource/ISSN/0899-8418#PublicationPlace-New_York",
"resource/ISSN/0899-8418#PublicationPlace-Chichester"
]
},
{
"@id": "resource/ISSN/0899-8418#Publisher-Wiley",
"@type": "http://schema.org/Organization",
"name": "Wiley"
},
Exemple avec une liste d'éditeurs finaux :
{
"@id": "resource/ISSN/2174-8454#LatestPublicationEvent",
"@type": "http://schema.org/PublicationEvent",
"publishedBy": [
"resource/ISSN/2174-8454#Publisher-The_Global_Studies_Institute_de_l’Université_de_Genève",
"resource/ISSN/2174-8454#Publisher-Universitat_de_València,_Departamento_de_Teoría_de_los_Lenguajes_y_Ciencias_de_la_Comunicación"
],
"location": "resource/ISSN/2174-8454#PublicationPlace-Valencia"
},
```python
import pandas as pd
import csv
import json
import numpy as np
import os
```
## Table Publishers
```python
# creation du DF
# 'country' supprimé pour l'ajouter aux journaux
# 'oa_status' supprimé pour le moment
col_names = ['id',
'name',
'publisher_id_issn',
]
publisher_issn = pd.DataFrame(columns = col_names)
publisher_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>name</th>
<th>publisher_id_issn</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
## Table Journals
```python
journal = pd.read_csv('sample/journals_brut.tsv', encoding='utf-8', header=0, sep='\t')
journal
```
<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>issnl</th>
<th>title</th>
<th>starting_year</th>
<th>end_year</th>
<th>url</th>
<th>name_short_iso_4</th>
<th>language</th>
<th>country</th>
<th>...</th>
<th>doaj_status</th>
<th>lockss_title</th>
<th>lockss</th>
<th>portico_status</th>
<th>portico</th>
<th>nlch_title</th>
<th>nlch</th>
<th>qoam_av_score</th>
<th>doublon_issnl</th>
<th>oa_status</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>1660-9379</td>
<td>1660-9379</td>
<td>Revue médicale suisse</td>
<td>2005</td>
<td>9999</td>
<td>NaN</td>
<td>Rev. méd. suisse</td>
<td>138</td>
<td>215</td>
<td>...</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>0031-9007</td>
<td>0031-9007</td>
<td>Physical review letters (Print)</td>
<td>1958</td>
<td>9999</td>
<td>http://prl.aps.org/</td>
<td>Phys. rev. lett. (Print)</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>1.0</td>
<td>1</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>1932-6203</td>
<td>1932-6203</td>
<td>PloS one</td>
<td>2006</td>
<td>9999</td>
<td>http://www.plosone.org/</td>
<td>NaN</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>1.0</td>
<td>PLoS One</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>4.035714</td>
<td>NaN</td>
<td>5</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>2174-8454</td>
<td>2174-8454</td>
<td>EU-topías</td>
<td>2011</td>
<td>9999</td>
<td>NaN</td>
<td>EU-topías</td>
<td>124, 138, 402, 292</td>
<td>209</td>
<td>...</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
</tr>
<tr>
<td>4</td>
<td>5</td>
<td>1098-0121</td>
<td>1098-0121</td>
<td>Physical review. B, Condensed matter and mater...</td>
<td>1998</td>
<td>2015</td>
<td>http://ojps.aip.org/prbo/</td>
<td>Phys. rev., B, Condens. matter mater. phys.</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>1.0</td>
<td>1</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>
<td>...</td>
</tr>
<tr>
<td>906</td>
<td>997</td>
<td>0964-1726</td>
<td>0964-1726</td>
<td>Smart materials and structures (Print)</td>
<td>1992</td>
<td>9999</td>
<td>NaN</td>
<td>Smart mater. struct. (Print)</td>
<td>124</td>
<td>234</td>
<td>...</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
</tr>
<tr>
<td>907</td>
<td>998</td>
<td>0022-3468</td>
<td>0022-3468</td>
<td>Journal of pediatric surgery (Print)</td>
<td>1966</td>
<td>9999</td>
<td>http://www.jpedsurg.org</td>
<td>J. pediatr. surg. (Print)</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
</tr>
<tr>
<td>908</td>
<td>999</td>
<td>1432-2064</td>
<td>0178-8051</td>
<td>Probability theory and related fields (Internet)</td>
<td>uuuu</td>
<td>9999</td>
<td>http://www.springerlink.com/content/100451</td>
<td>Probab. theory relat. fields (Internet)</td>
<td>124</td>
<td>83</td>
<td>...</td>
<td>0.0</td>
<td>Probability Theory and Related Fields</td>
<td>1.0</td>
<td>preserved</td>
<td>1.0</td>
<td>Probability Theory and Related Fields</td>
<td>1.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
</tr>
<tr>
<td>909</td>
<td>1000</td>
<td>0960-1481</td>
<td>0960-1481</td>
<td>Renewable energy</td>
<td>1991</td>
<td>9999</td>
<td>NaN</td>
<td>Renew. energy</td>
<td>124</td>
<td>234</td>
<td>...</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
</tr>
<tr>
<td>910</td>
<td>1001</td>
<td>0161-7567</td>
<td>0161-7567</td>
<td>Journal of applied physiology: respiratory, en...</td>
<td>1977</td>
<td>1984</td>
<td>https://www.physiology.org/journal/jappl</td>
<td>J. appl. physiol.: respir., environ. exercise ...</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
</tr>
</tbody>
</table>
<p>911 rows × 23 columns</p>
</div>
## Table Journals Publishers
```python
# creation du DF
col_names = ['journal',
'publisher_id_issn'
]
journal_publisher = pd.DataFrame(columns = col_names)
journal_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>journal</th>
<th>publisher_id_issn</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
```python
# extraction des informations à partir des données ISSN.org
for index, row in journal.iterrows():
journal_id = row['id']
journal_issn = row['issn']
if (((index/10) - int(index/10)) == 0) :
print(index)
# initialisation des variables à extraire
publisher_name = ''
publisher_country = ''
publisher_id = ''
publisher_id_first = ''
publisher_id_last = ''
# export en json
if os.path.exists('issn/data/' + journal_issn + '.json'):
with open('issn/data/' + journal_issn + '.json', 'r', encoding='utf-8') as f:
data = json.load(f)
for x in data['@graph']:
if ('@id' in x):
if (x['@id'] == 'resource/ISSN/' + journal_issn + '#LatestPublicationEvent'):
if ('publishedBy' in x):
publisher_id_last = x['publishedBy']
elif (x['@id'] == 'resource/ISSN/' + journal_issn + '#EarliestPublicationEvent'):
if ('publishedBy' in x):
publisher_id_first = x['publishedBy']
if (publisher_id_last != ''):
publisher_id = publisher_id_last
else :
publisher_id = publisher_id_first
if type(publisher_id) is list:
for pid in publisher_id:
if (pid != ''):
for x in data['@graph']:
if ('@id' in x):
if (x['@id'] == pid):
if ('name' in x):
publisher_name = x['name']
publisher_issn = publisher_issn.append({'publisher_id_issn' : pid, 'name' : publisher_name}, ignore_index=True)
journal_publisher = journal_publisher.append({'journal' : journal_id, 'publisher_id_issn' : pid}, ignore_index=True)
else :
if (publisher_id != ''):
for x in data['@graph']:
if ('@id' in x):
if (x['@id'] == publisher_id):
if ('name' in x):
publisher_name = x['name']
publisher_issn = publisher_issn.append({'publisher_id_issn' : publisher_id, 'name' : publisher_name}, ignore_index=True)
journal_publisher = journal_publisher.append({'journal' : journal_id, 'publisher_id_issn' : publisher_id}, ignore_index=True)
else :
print(row['issn'] + ' - pas trouvé')
```
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```python
publisher_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>name</th>
<th>publisher_id_issn</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>Revue Médicale Suisse</td>
<td>resource/ISSN/1660-9379#Publisher-Revue_Médica...</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>American Physical Society</td>
<td>resource/ISSN/0031-9007#Publisher-American_Phy...</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>Public Library of Science</td>
<td>resource/ISSN/1932-6203#Publisher-Public_Libra...</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>resource/ISSN/2174-8454#Publisher-The_Global_S...</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>resource/ISSN/2174-8454#Publisher-Universitat_...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>NaN</td>
<td>IOP Publishing</td>
<td>resource/ISSN/0964-1726#Publisher-IOP_Publishing</td>
</tr>
<tr>
<td>941</td>
<td>NaN</td>
<td>Elsevier [etc.]</td>
<td>resource/ISSN/0022-3468#Publisher-Elsevier_[etc.]</td>
</tr>
<tr>
<td>942</td>
<td>NaN</td>
<td>Springer</td>
<td>resource/ISSN/1432-2064#Publisher-Springer</td>
</tr>
<tr>
<td>943</td>
<td>NaN</td>
<td>Pergamon</td>
<td>resource/ISSN/0960-1481#Publisher-Pergamon</td>
</tr>
<tr>
<td>944</td>
<td>NaN</td>
<td>American Physiological Society</td>
<td>resource/ISSN/0161-7567#Publisher-American_Phy...</td>
</tr>
</tbody>
</table>
<p>945 rows × 3 columns</p>
</div>
```python
# simlification des IDs
publisher_issn[['publisher_id_racine', 'publisher_id_fin']] = publisher_issn['publisher_id_issn'].str.split('#Publisher-', n=1, expand=True)
publisher_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>name</th>
<th>publisher_id_issn</th>
<th>publisher_id_racine</th>
<th>publisher_id_fin</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>NaN</td>
<td>Revue Médicale Suisse</td>
<td>resource/ISSN/1660-9379#Publisher-Revue_Médica...</td>
<td>resource/ISSN/1660-9379</td>
<td>Revue_Médicale_Suisse</td>
</tr>
<tr>
<td>1</td>
<td>NaN</td>
<td>American Physical Society</td>
<td>resource/ISSN/0031-9007#Publisher-American_Phy...</td>
<td>resource/ISSN/0031-9007</td>
<td>American_Physical_Society</td>
</tr>
<tr>
<td>2</td>
<td>NaN</td>
<td>Public Library of Science</td>
<td>resource/ISSN/1932-6203#Publisher-Public_Libra...</td>
<td>resource/ISSN/1932-6203</td>
<td>Public_Library_of_Science</td>
</tr>
<tr>
<td>3</td>
<td>NaN</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>resource/ISSN/2174-8454#Publisher-The_Global_S...</td>
<td>resource/ISSN/2174-8454</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
</tr>
<tr>
<td>4</td>
<td>NaN</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>resource/ISSN/2174-8454#Publisher-Universitat_...</td>
<td>resource/ISSN/2174-8454</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>NaN</td>
<td>IOP Publishing</td>
<td>resource/ISSN/0964-1726#Publisher-IOP_Publishing</td>
<td>resource/ISSN/0964-1726</td>
<td>IOP_Publishing</td>
</tr>
<tr>
<td>941</td>
<td>NaN</td>
<td>Elsevier [etc.]</td>
<td>resource/ISSN/0022-3468#Publisher-Elsevier_[etc.]</td>
<td>resource/ISSN/0022-3468</td>
<td>Elsevier_[etc.]</td>
</tr>
<tr>
<td>942</td>
<td>NaN</td>
<td>Springer</td>
<td>resource/ISSN/1432-2064#Publisher-Springer</td>
<td>resource/ISSN/1432-2064</td>
<td>Springer</td>
</tr>
<tr>
<td>943</td>
<td>NaN</td>
<td>Pergamon</td>
<td>resource/ISSN/0960-1481#Publisher-Pergamon</td>
<td>resource/ISSN/0960-1481</td>
<td>Pergamon</td>
</tr>
<tr>
<td>944</td>
<td>NaN</td>
<td>American Physiological Society</td>
<td>resource/ISSN/0161-7567#Publisher-American_Phy...</td>
<td>resource/ISSN/0161-7567</td>
<td>American_Physiological_Society</td>
</tr>
</tbody>
</table>
<p>945 rows × 5 columns</p>
</div>
```python
# simplifications
del publisher_issn['publisher_id_issn']
del publisher_issn['publisher_id_racine']
del publisher_issn['id']
publisher_issn = publisher_issn.rename(columns={'publisher_id_fin': 'publisher_id_issn'})
publisher_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>name</th>
<th>publisher_id_issn</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Revue Médicale Suisse</td>
<td>Revue_Médicale_Suisse</td>
</tr>
<tr>
<td>1</td>
<td>American Physical Society</td>
<td>American_Physical_Society</td>
</tr>
<tr>
<td>2</td>
<td>Public Library of Science</td>
<td>Public_Library_of_Science</td>
</tr>
<tr>
<td>3</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
</tr>
<tr>
<td>4</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>IOP Publishing</td>
<td>IOP_Publishing</td>
</tr>
<tr>
<td>941</td>
<td>Elsevier [etc.]</td>
<td>Elsevier_[etc.]</td>
</tr>
<tr>
<td>942</td>
<td>Springer</td>
<td>Springer</td>
</tr>
<tr>
<td>943</td>
<td>Pergamon</td>
<td>Pergamon</td>
</tr>
<tr>
<td>944</td>
<td>American Physiological Society</td>
<td>American_Physiological_Society</td>
</tr>
</tbody>
</table>
<p>945 rows × 2 columns</p>
</div>
```python
# supprimer les crochets et supprimer les doublons
# publisher['publisher_id'] = publisher['publisher_id'].str.replace('[', '')
# publisher['publisher_id'] = publisher['publisher_id'].str.replace(']', '')
# publisher['name'] = publisher['name'].str.replace('[', '')
# publisher['name'] = publisher['name'].str.replace(']', '')
publisher_issn = publisher_issn.drop_duplicates(subset=['publisher_id_issn'])
publisher_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>name</th>
<th>publisher_id_issn</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Revue Médicale Suisse</td>
<td>Revue_Médicale_Suisse</td>
</tr>
<tr>
<td>1</td>
<td>American Physical Society</td>
<td>American_Physical_Society</td>
</tr>
<tr>
<td>2</td>
<td>Public Library of Science</td>
<td>Public_Library_of_Science</td>
</tr>
<tr>
<td>3</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
</tr>
<tr>
<td>4</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>929</td>
<td>Fisher</td>
<td>Fisher</td>
</tr>
<tr>
<td>930</td>
<td>Tipografia La Commerciale</td>
<td>Tipografia_La_Commerciale</td>
</tr>
<tr>
<td>932</td>
<td>Red.: Prof. Dr. F. Cavalli, Istituto oncologic...</td>
<td>Red.:_Prof._Dr._F._Cavalli,_Istituto_oncologic...</td>
</tr>
<tr>
<td>934</td>
<td>Excerpta Medica</td>
<td>Excerpta_Medica</td>
</tr>
<tr>
<td>937</td>
<td>Generative Grammar Group of the Department of ...</td>
<td>Generative_Grammar_Group_of_the_Department_of_...</td>
</tr>
</tbody>
</table>
<p>380 rows × 2 columns</p>
</div>
```python
# test publishers sans nom
publisher_issn.loc[publisher_issn['name'] == '']
```
<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>publisher_id_issn</th>
</tr>
</thead>
<tbody>
<tr>
<td>241</td>
<td></td>
<td>None</td>
</tr>
</tbody>
</table>
</div>
```python
journal_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>journal</th>
<th>publisher_id_issn</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>resource/ISSN/1660-9379#Publisher-Revue_Médica...</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>resource/ISSN/0031-9007#Publisher-American_Phy...</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>resource/ISSN/1932-6203#Publisher-Public_Libra...</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>resource/ISSN/2174-8454#Publisher-The_Global_S...</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>resource/ISSN/2174-8454#Publisher-Universitat_...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>997</td>
<td>resource/ISSN/0964-1726#Publisher-IOP_Publishing</td>
</tr>
<tr>
<td>941</td>
<td>998</td>
<td>resource/ISSN/0022-3468#Publisher-Elsevier_[etc.]</td>
</tr>
<tr>
<td>942</td>
<td>999</td>
<td>resource/ISSN/1432-2064#Publisher-Springer</td>
</tr>
<tr>
<td>943</td>
<td>1000</td>
<td>resource/ISSN/0960-1481#Publisher-Pergamon</td>
</tr>
<tr>
<td>944</td>
<td>1001</td>
<td>resource/ISSN/0161-7567#Publisher-American_Phy...</td>
</tr>
</tbody>
</table>
<p>945 rows × 2 columns</p>
</div>
```python
# simlification des IDs
journal_publisher[['publisher_id_racine', 'publisher_id_fin']] = journal_publisher['publisher_id_issn'].str.split('#Publisher-', n=1, expand=True)
# simplifications
del journal_publisher['publisher_id_issn']
del journal_publisher['publisher_id_racine']
journal_publisher = journal_publisher.rename(columns={'publisher_id_fin': 'publisher_id_issn'})
journal_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>journal</th>
<th>publisher_id_issn</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>Revue_Médicale_Suisse</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>American_Physical_Society</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>Public_Library_of_Science</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>997</td>
<td>IOP_Publishing</td>
</tr>
<tr>
<td>941</td>
<td>998</td>
<td>Elsevier_[etc.]</td>
</tr>
<tr>
<td>942</td>
<td>999</td>
<td>Springer</td>
</tr>
<tr>
<td>943</td>
<td>1000</td>
<td>Pergamon</td>
</tr>
<tr>
<td>944</td>
<td>1001</td>
<td>American_Physiological_Society</td>
</tr>
</tbody>
</table>
<p>945 rows × 2 columns</p>
</div>
```python
# merge avec journals
journal_publisher = pd.merge(journal_publisher, publisher_issn, on='publisher_id_issn', how='left')
journal_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>journal</th>
<th>publisher_id_issn</th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>997</td>
<td>IOP_Publishing</td>
<td>IOP Publishing</td>
</tr>
<tr>
<td>941</td>
<td>998</td>
<td>Elsevier_[etc.]</td>
<td>Elsevier [etc.]</td>
</tr>
<tr>
<td>942</td>
<td>999</td>
<td>Springer</td>
<td>Springer</td>
</tr>
<tr>
<td>943</td>
<td>1000</td>
<td>Pergamon</td>
<td>Pergamon</td>
</tr>
<tr>
<td>944</td>
<td>1001</td>
<td>American_Physiological_Society</td>
<td>American Physiological Society</td>
</tr>
</tbody>
</table>
<p>945 rows × 3 columns</p>
</div>
```python
journal_publisher = journal_publisher.rename(columns={'publisher_id_issn': 'publisher_id'})
journal_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>journal</th>
<th>publisher_id</th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>997</td>
<td>IOP_Publishing</td>
<td>IOP Publishing</td>
</tr>
<tr>
<td>941</td>
<td>998</td>
<td>Elsevier_[etc.]</td>
<td>Elsevier [etc.]</td>
</tr>
<tr>
<td>942</td>
<td>999</td>
<td>Springer</td>
<td>Springer</td>
</tr>
<tr>
<td>943</td>
<td>1000</td>
<td>Pergamon</td>
<td>Pergamon</td>
</tr>
<tr>
<td>944</td>
<td>1001</td>
<td>American_Physiological_Society</td>
<td>American Physiological Society</td>
</tr>
</tbody>
</table>
<p>945 rows × 3 columns</p>
</div>
```python
publisher = journal_publisher[['publisher_id', 'name']]
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>publisher_id</th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
</tr>
<tr>
<td>1</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
</tr>
<tr>
<td>2</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
</tr>
<tr>
<td>3</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
</tr>
<tr>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>IOP_Publishing</td>
<td>IOP Publishing</td>
</tr>
<tr>
<td>941</td>
<td>Elsevier_[etc.]</td>
<td>Elsevier [etc.]</td>
</tr>
<tr>
<td>942</td>
<td>Springer</td>
<td>Springer</td>
</tr>
<tr>
<td>943</td>
<td>Pergamon</td>
<td>Pergamon</td>
</tr>
<tr>
<td>944</td>
<td>American_Physiological_Society</td>
<td>American Physiological Society</td>
</tr>
</tbody>
</table>
<p>945 rows × 2 columns</p>
</div>
```python
# supprimer les doublons
publisher = publisher.drop_duplicates(subset='publisher_id')
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>publisher_id</th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
</tr>
<tr>
<td>1</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
</tr>
<tr>
<td>2</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
</tr>
<tr>
<td>3</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
</tr>
<tr>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>929</td>
<td>Fisher</td>
<td>Fisher</td>
</tr>
<tr>
<td>930</td>
<td>Tipografia_La_Commerciale</td>
<td>Tipografia La Commerciale</td>
</tr>
<tr>
<td>932</td>
<td>Red.:_Prof._Dr._F._Cavalli,_Istituto_oncologic...</td>
<td>Red.: Prof. Dr. F. Cavalli, Istituto oncologic...</td>
</tr>
<tr>
<td>934</td>
<td>Excerpta_Medica</td>
<td>Excerpta Medica</td>
</tr>
<tr>
<td>937</td>
<td>Generative_Grammar_Group_of_the_Department_of_...</td>
<td>Generative Grammar Group of the Department of ...</td>
</tr>
</tbody>
</table>
<p>380 rows × 2 columns</p>
</div>
```python
# convertir l'index en id
publisher = publisher.reset_index()
# ajout de l'id avec l'index + 1
publisher['id'] = publisher['index'] + 1
del publisher['index']
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>publisher_id</th>
<th>name</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>375</td>
<td>Fisher</td>
<td>Fisher</td>
<td>930</td>
</tr>
<tr>
<td>376</td>
<td>Tipografia_La_Commerciale</td>
<td>Tipografia La Commerciale</td>
<td>931</td>
</tr>
<tr>
<td>377</td>
<td>Red.:_Prof._Dr._F._Cavalli,_Istituto_oncologic...</td>
<td>Red.: Prof. Dr. F. Cavalli, Istituto oncologic...</td>
<td>933</td>
</tr>
<tr>
<td>378</td>
<td>Excerpta_Medica</td>
<td>Excerpta Medica</td>
<td>935</td>
</tr>
<tr>
<td>379</td>
<td>Generative_Grammar_Group_of_the_Department_of_...</td>
<td>Generative Grammar Group of the Department of ...</td>
<td>938</td>
</tr>
</tbody>
</table>
<p>380 rows × 3 columns</p>
</div>
```python
# convertir l'index en id
publisher = publisher.reset_index()
# ajout de l'id avec l'index + 1
publisher['id'] = publisher['index'] + 1
del publisher['index']
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>publisher_id</th>
<th>name</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>375</td>
<td>Fisher</td>
<td>Fisher</td>
<td>376</td>
</tr>
<tr>
<td>376</td>
<td>Tipografia_La_Commerciale</td>
<td>Tipografia La Commerciale</td>
<td>377</td>
</tr>
<tr>
<td>377</td>
<td>Red.:_Prof._Dr._F._Cavalli,_Istituto_oncologic...</td>
<td>Red.: Prof. Dr. F. Cavalli, Istituto oncologic...</td>
<td>378</td>
</tr>
<tr>
<td>378</td>
<td>Excerpta_Medica</td>
<td>Excerpta Medica</td>
<td>379</td>
</tr>
<tr>
<td>379</td>
<td>Generative_Grammar_Group_of_the_Department_of_...</td>
<td>Generative Grammar Group of the Department of ...</td>
<td>380</td>
</tr>
</tbody>
</table>
<p>380 rows × 3 columns</p>
</div>
```python
# ajout de la valeur UNKNOWN
# 'country': 999999
publisher = publisher.append({'id' : 999999, 'name' : 'UNKNOWN', 'publisher_id': '999999'}, ignore_index=True)
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>publisher_id</th>
<th>name</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>376</td>
<td>Tipografia_La_Commerciale</td>
<td>Tipografia La Commerciale</td>
<td>377</td>
</tr>
<tr>
<td>377</td>
<td>Red.:_Prof._Dr._F._Cavalli,_Istituto_oncologic...</td>
<td>Red.: Prof. Dr. F. Cavalli, Istituto oncologic...</td>
<td>378</td>
</tr>
<tr>
<td>378</td>
<td>Excerpta_Medica</td>
<td>Excerpta Medica</td>
<td>379</td>
</tr>
<tr>
<td>379</td>
<td>Generative_Grammar_Group_of_the_Department_of_...</td>
<td>Generative Grammar Group of the Department of ...</td>
<td>380</td>
</tr>
<tr>
<td>380</td>
<td>999999</td>
<td>UNKNOWN</td>
<td>999999</td>
</tr>
</tbody>
</table>
<p>381 rows × 3 columns</p>
</div>
```python
# recuperation de l'id du publisher
journal_publisher = pd.merge(journal_publisher, publisher[['publisher_id', 'id']], on='publisher_id', how='left')
journal_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>journal</th>
<th>publisher_id</th>
<th>name</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>997</td>
<td>IOP_Publishing</td>
<td>IOP Publishing</td>
<td>47</td>
</tr>
<tr>
<td>941</td>
<td>998</td>
<td>Elsevier_[etc.]</td>
<td>Elsevier [etc.]</td>
<td>75</td>
</tr>
<tr>
<td>942</td>
<td>999</td>
<td>Springer</td>
<td>Springer</td>
<td>8</td>
</tr>
<tr>
<td>943</td>
<td>1000</td>
<td>Pergamon</td>
<td>Pergamon</td>
<td>119</td>
</tr>
<tr>
<td>944</td>
<td>1001</td>
<td>American_Physiological_Society</td>
<td>American Physiological Society</td>
<td>217</td>
</tr>
</tbody>
</table>
<p>945 rows × 4 columns</p>
</div>
```python
journal_publisher = journal_publisher.rename(columns={'id': 'publisher'})
journal_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>journal</th>
<th>publisher_id</th>
<th>name</th>
<th>publisher</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>Revue_Médicale_Suisse</td>
<td>Revue Médicale Suisse</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>American_Physical_Society</td>
<td>American Physical Society</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>Public_Library_of_Science</td>
<td>Public Library of Science</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>The_Global_Studies_Institute_de_l’Université_d...</td>
<td>The Global Studies Institute de l’Université d...</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>Universitat_de_València,_Departamento_de_Teorí...</td>
<td>Universitat de València, Departamento de Teorí...</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>997</td>
<td>IOP_Publishing</td>
<td>IOP Publishing</td>
<td>47</td>
</tr>
<tr>
<td>941</td>
<td>998</td>
<td>Elsevier_[etc.]</td>
<td>Elsevier [etc.]</td>
<td>75</td>
</tr>
<tr>
<td>942</td>
<td>999</td>
<td>Springer</td>
<td>Springer</td>
<td>8</td>
</tr>
<tr>
<td>943</td>
<td>1000</td>
<td>Pergamon</td>
<td>Pergamon</td>
<td>119</td>
</tr>
<tr>
<td>944</td>
<td>1001</td>
<td>American_Physiological_Society</td>
<td>American Physiological Society</td>
<td>217</td>
</tr>
</tbody>
</table>
<p>945 rows × 4 columns</p>
</div>
```python
# ajout du publisher id au journals_brut
journal_publisher_ids = journal_publisher[['journal', 'publisher']]
journal_publisher_ids = journal_publisher_ids.rename(columns={'journal': 'id'})
journal_publisher_ids['publisher'] = journal_publisher_ids['publisher'].astype(str)
journal_publisher_ids
```
<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>publisher</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<td>4</td>
<td>4</td>
<td>5</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>940</td>
<td>997</td>
<td>47</td>
</tr>
<tr>
<td>941</td>
<td>998</td>
<td>75</td>
</tr>
<tr>
<td>942</td>
<td>999</td>
<td>8</td>
</tr>
<tr>
<td>943</td>
<td>1000</td>
<td>119</td>
</tr>
<tr>
<td>944</td>
<td>1001</td>
<td>217</td>
</tr>
</tbody>
</table>
<p>945 rows × 2 columns</p>
</div>
```python
# concat valeurs avec même id
journal_publisher_grouped = journal_publisher_ids.groupby('id').agg({'publisher': lambda x: ', '.join(x)})
journal_publisher_grouped
```
<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>publisher</th>
</tr>
<tr>
<th>id</th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>1</td>
</tr>
<tr>
<td>2</td>
<td>2</td>
</tr>
<tr>
<td>3</td>
<td>3</td>
</tr>
<tr>
<td>4</td>
<td>4, 5</td>
</tr>
<tr>
<td>5</td>
<td>6</td>
</tr>
<tr>
<td>...</td>
<td>...</td>
</tr>
<tr>
<td>997</td>
<td>47</td>
</tr>
<tr>
<td>998</td>
<td>75</td>
</tr>
<tr>
<td>999</td>
<td>8</td>
</tr>
<tr>
<td>1000</td>
<td>119</td>
</tr>
<tr>
<td>1001</td>
<td>217</td>
</tr>
</tbody>
</table>
<p>911 rows × 1 columns</p>
</div>
```python
# recuperation de l'id du publisher
journals = pd.merge(journal, journal_publisher_grouped, on='id', how='left')
journals
```
<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>issnl</th>
<th>title</th>
<th>starting_year</th>
<th>end_year</th>
<th>url</th>
<th>name_short_iso_4</th>
<th>language</th>
<th>country</th>
<th>...</th>
<th>lockss_title</th>
<th>lockss</th>
<th>portico_status</th>
<th>portico</th>
<th>nlch_title</th>
<th>nlch</th>
<th>qoam_av_score</th>
<th>doublon_issnl</th>
<th>oa_status</th>
<th>publisher</th>
</tr>
</thead>
<tbody>
<tr>
<td>0</td>
<td>1</td>
<td>1660-9379</td>
<td>1660-9379</td>
<td>Revue médicale suisse</td>
<td>2005</td>
<td>9999</td>
<td>NaN</td>
<td>Rev. méd. suisse</td>
<td>138</td>
<td>215</td>
<td>...</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<td>1</td>
<td>2</td>
<td>0031-9007</td>
<td>0031-9007</td>
<td>Physical review letters (Print)</td>
<td>1958</td>
<td>9999</td>
<td>http://prl.aps.org/</td>
<td>Phys. rev. lett. (Print)</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>1.0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<td>2</td>
<td>3</td>
<td>1932-6203</td>
<td>1932-6203</td>
<td>PloS one</td>
<td>2006</td>
<td>9999</td>
<td>http://www.plosone.org/</td>
<td>NaN</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>PLoS One</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>4.035714</td>
<td>NaN</td>
<td>5</td>
<td>3</td>
</tr>
<tr>
<td>3</td>
<td>4</td>
<td>2174-8454</td>
<td>2174-8454</td>
<td>EU-topías</td>
<td>2011</td>
<td>9999</td>
<td>NaN</td>
<td>EU-topías</td>
<td>124, 138, 402, 292</td>
<td>209</td>
<td>...</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
<td>4, 5</td>
</tr>
<tr>
<td>4</td>
<td>5</td>
<td>1098-0121</td>
<td>1098-0121</td>
<td>Physical review. B, Condensed matter and mater...</td>
<td>1998</td>
<td>2015</td>
<td>http://ojps.aip.org/prbo/</td>
<td>Phys. rev., B, Condens. matter mater. phys.</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>1.0</td>
<td>1</td>
<td>6</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>
<td>...</td>
</tr>
<tr>
<td>906</td>
<td>997</td>
<td>0964-1726</td>
<td>0964-1726</td>
<td>Smart materials and structures (Print)</td>
<td>1992</td>
<td>9999</td>
<td>NaN</td>
<td>Smart mater. struct. (Print)</td>
<td>124</td>
<td>234</td>
<td>...</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
<td>47</td>
</tr>
<tr>
<td>907</td>
<td>998</td>
<td>0022-3468</td>
<td>0022-3468</td>
<td>Journal of pediatric surgery (Print)</td>
<td>1966</td>
<td>9999</td>
<td>http://www.jpedsurg.org</td>
<td>J. pediatr. surg. (Print)</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
<td>75</td>
</tr>
<tr>
<td>908</td>
<td>999</td>
<td>1432-2064</td>
<td>0178-8051</td>
<td>Probability theory and related fields (Internet)</td>
<td>uuuu</td>
<td>9999</td>
<td>http://www.springerlink.com/content/100451</td>
<td>Probab. theory relat. fields (Internet)</td>
<td>124</td>
<td>83</td>
<td>...</td>
<td>Probability Theory and Related Fields</td>
<td>1.0</td>
<td>preserved</td>
<td>1.0</td>
<td>Probability Theory and Related Fields</td>
<td>1.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
<td>8</td>
</tr>
<tr>
<td>909</td>
<td>1000</td>
<td>0960-1481</td>
<td>0960-1481</td>
<td>Renewable energy</td>
<td>1991</td>
<td>9999</td>
<td>NaN</td>
<td>Renew. energy</td>
<td>124</td>
<td>234</td>
<td>...</td>
<td>NaN</td>
<td>0.0</td>
<td>preserved</td>
<td>1.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
<td>119</td>
</tr>
<tr>
<td>910</td>
<td>1001</td>
<td>0161-7567</td>
<td>0161-7567</td>
<td>Journal of applied physiology: respiratory, en...</td>
<td>1977</td>
<td>1984</td>
<td>https://www.physiology.org/journal/jappl</td>
<td>J. appl. physiol.: respir., environ. exercise ...</td>
<td>124</td>
<td>236</td>
<td>...</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>0.0</td>
<td>NaN</td>
<td>NaN</td>
<td>1</td>
<td>217</td>
</tr>
</tbody>
</table>
<p>911 rows × 24 columns</p>
</div>
```python
# export csv
publisher.to_csv('sample/publishers_brut.tsv', sep='\t', encoding='utf-8', index=False)
```
```python
# export excel
publisher.to_excel('sample/publishers_brut.xlsx', index=False)
```
```python
# export csv brut des journals
journals.to_csv('sample/journals_publishers_brut.tsv', sep='\t', encoding='utf-8', index=False)
```
```python
# export excel brut
journals.to_excel('sample/journals_publishers_brut.xlsx', index=False)
```
```python
# export csv brut des ids
journal_publisher_ids.to_csv('sample/journals_publishers_ids.tsv', sep='\t', encoding='utf-8', index=False)
```
```python
# export excel brut des ids
journal_publisher_ids.to_excel('sample/journals_publishers_ids.xlsx', index=False)
```

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