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Commit e3e5e662 authored by Benoît Courty's avatar Benoît Courty
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......@@ -182,6 +182,37 @@ nb_path: "notebook/eda_ref_amendements.ipynb"
</div>
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<h4 id="display_distinct" class="doc_header"><code>display_distinct</code><a href="https://github.com/leximpact/etudes-amendements/tree/main/etudes_amendements/eda_ref.py#L6" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>display_distinct</code>(<strong><code>df</code></strong>)</p>
</blockquote>
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......@@ -192,21 +223,7 @@ nb_path: "notebook/eda_ref_amendements.ipynb"
<div class="inner_cell">
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">columns</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">columns</span>
<span class="n">to_be_removed</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">column</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">:</span>
<span class="n">nb_unique_values</span> <span class="o">=</span> <span class="nb">eval</span><span class="p">(</span><span class="s1">&#39;df[&quot;&#39;</span> <span class="o">+</span> <span class="n">column</span> <span class="o">+</span> <span class="s1">&#39;&quot;].nunique()&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Distinct values in&quot;</span><span class="p">,</span> <span class="n">column</span><span class="p">,</span> <span class="s2">&quot;:&quot;</span><span class="p">,</span> <span class="n">nb_unique_values</span><span class="p">)</span>
<span class="k">if</span> <span class="n">nb_unique_values</span> <span class="o">&gt;</span> <span class="mi">50</span><span class="p">:</span>
<span class="n">to_be_removed</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">column</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Column with too many distinct values :</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">to_be_removed</span><span class="p">)</span>
<span class="sd">&#39;&#39;&#39;</span>
<span class="sd">Display distinct values</span>
<span class="sd">&#39;&#39;&#39;</span>
<span class="n">columns_redux</span> <span class="o">=</span> <span class="p">[</span><span class="n">item</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">columns</span> <span class="k">if</span> <span class="n">item</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">to_be_removed</span> <span class="p">]</span>
<span class="k">for</span> <span class="n">column</span> <span class="ow">in</span> <span class="n">columns_redux</span><span class="p">:</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Distinct values in&quot;</span><span class="p">,</span> <span class="n">column</span><span class="p">)</span>
<span class="nb">eval</span><span class="p">(</span><span class="s1">&#39;df[&quot;&#39;</span> <span class="o">+</span> <span class="n">column</span> <span class="o">+</span> <span class="s1">&#39;&quot;].value_counts()&#39;</span><span class="p">)</span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">display_distinct</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
</pre></div>
</div>
......@@ -237,34 +254,8 @@ Distinct values in title : 18
Column with too many distinct values :
[&#39;alinea&#39;, &#39;article&#39;, &#39;law&#39;, &#39;text&#39;]
</pre>
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<pre>&#39;\nDisplay distinct values\n&#39;</pre>
</div>
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<pre>Distinct values in alinea1
</pre>
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</div>
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<div class="output_text output_subarea output_execute_result">
<pre>1 112
Distinct values in alinea1
1 112
2 71
b order: b 49
3 48
......@@ -272,8 +263,8 @@ a order: a 41
4° order: 4 20
1° order: 1 11
indirect: -1 8
c order: c 7
C order: 100 7
c order: c 7
4 6
2° order: 2 4
5 4
......@@ -283,50 +274,18 @@ D order: 500 2
12° order: 12 2
3° order: 3 1
d order: d 1
Name: alinea1, dtype: int64</pre>
</div>
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<pre>Distinct values in alinea2
</pre>
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<pre>2 5
Name: alinea1, dtype: int64
Distinct values in alinea2
2 5
3 2
1 2
c order: c 1
a bis order: a 1
b order: b 1
7 1
a bis order: a 1
c order: c 1
Name: alinea2, dtype: int64</pre>
</div>
</div>
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<pre>Distinct values in book
</pre>
</div>
</div>
<div class="output_area">
<div class="output_text output_subarea output_execute_result">
<pre>IV 22
Name: alinea2, dtype: int64
Distinct values in book
IV 22
II 21
Ier 21
indirect: (relative: 0) 18
......@@ -339,31 +298,15 @@ VIII 6
I 4
8 3
VI 3
IX 2
7 2
1er 2
IX 2
V 1
4 1
5 1
Name: book, dtype: int64</pre>
</div>
</div>
<div class="output_area">
<div class="output_subarea output_stream output_stdout output_text">
<pre>Distinct values in chapter
</pre>
</div>
</div>
<div class="output_area">
<div class="output_text output_subarea output_execute_result">
<pre>II 33
4 1
Name: book, dtype: int64
Distinct values in chapter
II 33
V 26
Ier 24
IV 14
......@@ -373,151 +316,55 @@ indirect: (relative: 0) 8
VI 5
5 4
7 3
1er 2
4 2
1er 2
3 1
Name: chapter, dtype: int64</pre>
</div>
</div>
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<pre>Distinct values in code-part
</pre>
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<pre>indirect: 1 26
Name: chapter, dtype: int64
Distinct values in code-part
indirect: 1 26
order: 6 18
order: 2 12
order: 5 4
order: 3 4
Name: code-part, dtype: int64</pre>
</div>
</div>
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<pre>Distinct values in lawType
</pre>
</div>
</div>
<div class="output_area">
<div class="output_text output_subarea output_execute_result">
<pre>code 3982
order: 5 4
Name: code-part, dtype: int64
Distinct values in lawType
code 3982
loi 348
constitution 34
arrêté 8
décret 6
ordonnance 3
Name: lawType, dtype: int64</pre>
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<pre>Distinct values in paragraph
</pre>
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<pre>1.0 2
Name: lawType, dtype: int64
Distinct values in paragraph
1.0 2
2.0 2
8.0 1
Name: paragraph, dtype: int64</pre>
</div>
</div>
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<pre>Distinct values in section
</pre>
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<div class="output_text output_subarea output_execute_result">
<pre>5 21
Name: paragraph, dtype: int64
Distinct values in section
5 21
1 12
2 9
3 9
IV 4
13 3
4 2
III 2
VI 2
indirect: (relative: 0) 2
7 2
15 1
14 1
indirect: (relative: 0) 2
VI 2
III 2
order: 3 1
V 1
14 1
15 1
8 1
order: 3 1
XX 1
Name: section, dtype: int64</pre>
</div>
</div>
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<pre>Distinct values in section1
</pre>
</div>
</div>
<div class="output_area">
<div class="output_text output_subarea output_execute_result">
<pre>4.0 3
Name: section, dtype: int64
Distinct values in section1
4.0 3
1.0 3
Name: section1, dtype: int64</pre>
</div>
</div>
<div class="output_area">
<div class="output_subarea output_stream output_stdout output_text">
<pre>Distinct values in sentence
</pre>
</div>
</div>
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<div class="output_text output_subarea output_execute_result">
<pre>1 465
Name: section1, dtype: int64
Distinct values in sentence
1 465
2 301
indirect: -1 78
3 54
......@@ -525,45 +372,29 @@ indirect: (relative: 0) 16
4 5
indirect: 1 2
5 1
Name: sentence, dtype: int64</pre>
</div>
</div>
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<pre>Distinct values in title
</pre>
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<pre>III 34
Name: sentence, dtype: int64
Distinct values in title
III 34
II 30
Ier 25
VI 11
IV 11
indirect: (relative: 0) 10
I 7
II indirect: (relative: 0) 4
4 4
6 3
II indirect: (relative: 0) 4
V 3
6 3
3 3
1 2
9 1
2 1
7 1
1er 1
2 1
5 1
9 1
Name: title, dtype: int64</pre>
Name: title, dtype: int64
</pre>
</div>
</div>
</div>
......@@ -579,7 +410,7 @@ Name: title, dtype: int64</pre>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">law</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">law</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
</pre></div>
</div>
......@@ -592,64 +423,252 @@ Name: title, dtype: int64</pre>
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<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
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vertical-align: top;
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<pre>code général des impôts 1358
code de la sécurité sociale 1309
indirect: (relative: 0) 661
code de la santé publique 357
code rural et de la pêche maritime 181
code du travail 152
code de l’action sociale et des familles 146
Constitution 34
code des assurances 19
code pénal 18
code de la mutualité 14
code rural 14
code des transports 10
code général des collectivités territoriales 9
code des pensions militaires d’invalidité et des victimes de guerre 7
code de commerce 7
du 2019-12-24 6
code monétaire et financier 6
2019-1446 du 2019-12-24 6
code de l’entrée et du séjour des étrangers et du droit d’asile 4
code de procédure pénale 4
code du sport 4
code des communes 4
code de la propriété intellectuelle 3
livre des procédures fiscales 3
78-17 du 1978-01-06 3
2012-1404 du 2012-12-17 3
du 1992-03-26 3
code civil 2
code des pensions civiles et militaires de retraite 2
code de l’organisation judiciaire 2
code de l’Action Sociale et des Familles 2
2013-1203 du 2013-12-23 2
du 1978-01-06 2
2015-1702 du 2015-12-21 2
98-1194 du 1998-12-23 2
du 1901-07-01 2
du 2017-03-16 1
du 2006-09-15 1
du 2002-10-28 1
du 2020-07-09 1
2003-1311 du 2003-12-30 1
du 2018-02-22 1
du 2009-12-23 1
code de la défense 1
2006-1640 du 2006-12-21 1
code des procédures civiles d’exécution 1
Code de la santé publique 1
2018-1203 du 2018-12-22 1
code du tourisme 1
du 2020-08-07 1
code de l’environnement 1
indirect: -1 1
2014-1554 du 2014-12-22 1
code du service national 1
Name: law, dtype: int64</pre>
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>law</th>
</tr>
</thead>
<tbody>
<tr>
<th>code général des impôts</th>
<td>1358</td>
</tr>
<tr>
<th>code de la sécurité sociale</th>
<td>1309</td>
</tr>
<tr>
<th>indirect: (relative: 0)</th>
<td>661</td>
</tr>
<tr>
<th>code de la santé publique</th>
<td>357</td>
</tr>
<tr>
<th>code rural et de la pêche maritime</th>
<td>181</td>
</tr>
<tr>
<th>code du travail</th>
<td>152</td>
</tr>
<tr>
<th>code de l’action sociale et des familles</th>
<td>146</td>
</tr>
<tr>
<th>Constitution</th>
<td>34</td>
</tr>
<tr>
<th>code des assurances</th>
<td>19</td>
</tr>
<tr>
<th>code pénal</th>
<td>18</td>
</tr>
<tr>
<th>code de la mutualité</th>
<td>14</td>
</tr>
<tr>
<th>code rural</th>
<td>14</td>
</tr>
<tr>
<th>code des transports</th>
<td>10</td>
</tr>
<tr>
<th>code général des collectivités territoriales</th>
<td>9</td>
</tr>
<tr>
<th>code des pensions militaires d’invalidité et des victimes de guerre</th>
<td>7</td>
</tr>
<tr>
<th>code de commerce</th>
<td>7</td>
</tr>
<tr>
<th>2019-1446 du 2019-12-24</th>
<td>6</td>
</tr>
<tr>
<th>code monétaire et financier</th>
<td>6</td>
</tr>
<tr>
<th>du 2019-12-24</th>
<td>6</td>
</tr>
<tr>
<th>code des communes</th>
<td>4</td>
</tr>
<tr>
<th>code de l’entrée et du séjour des étrangers et du droit d’asile</th>
<td>4</td>
</tr>
<tr>
<th>code de procédure pénale</th>
<td>4</td>
</tr>
<tr>
<th>code du sport</th>
<td>4</td>
</tr>
<tr>
<th>livre des procédures fiscales</th>
<td>3</td>
</tr>
<tr>
<th>du 1992-03-26</th>
<td>3</td>
</tr>
<tr>
<th>2012-1404 du 2012-12-17</th>
<td>3</td>
</tr>
<tr>
<th>code de la propriété intellectuelle</th>
<td>3</td>
</tr>
<tr>
<th>78-17 du 1978-01-06</th>
<td>3</td>
</tr>
<tr>
<th>code civil</th>
<td>2</td>
</tr>
<tr>
<th>2015-1702 du 2015-12-21</th>
<td>2</td>
</tr>
<tr>
<th>du 1978-01-06</th>
<td>2</td>
</tr>
<tr>
<th>code de l’organisation judiciaire</th>
<td>2</td>
</tr>
<tr>
<th>code des pensions civiles et militaires de retraite</th>
<td>2</td>
</tr>
<tr>
<th>98-1194 du 1998-12-23</th>
<td>2</td>
</tr>
<tr>
<th>2013-1203 du 2013-12-23</th>
<td>2</td>
</tr>
<tr>
<th>code de l’Action Sociale et des Familles</th>
<td>2</td>
</tr>
<tr>
<th>du 1901-07-01</th>
<td>2</td>
</tr>
<tr>
<th>code de la défense</th>
<td>1</td>
</tr>
<tr>
<th>du 2009-12-23</th>
<td>1</td>
</tr>
<tr>
<th>2006-1640 du 2006-12-21</th>
<td>1</td>
</tr>
<tr>
<th>Code de la santé publique</th>
<td>1</td>
</tr>
<tr>
<th>code du tourisme</th>
<td>1</td>
</tr>
<tr>
<th>indirect: -1</th>
<td>1</td>
</tr>
<tr>
<th>du 2020-08-07</th>
<td>1</td>
</tr>
<tr>
<th>2014-1554 du 2014-12-22</th>
<td>1</td>
</tr>
<tr>
<th>du 2020-07-09</th>
<td>1</td>
</tr>
<tr>
<th>du 2006-09-15</th>
<td>1</td>
</tr>
<tr>
<th>code de l’environnement</th>
<td>1</td>
</tr>
<tr>
<th>du 2018-02-22</th>
<td>1</td>
</tr>
<tr>
<th>code des procédures civiles d’exécution</th>
<td>1</td>
</tr>
<tr>
<th>2018-1203 du 2018-12-22</th>
<td>1</td>
</tr>
<tr>
<th>du 2002-10-28</th>
<td>1</td>
</tr>
<tr>
<th>du 2017-03-16</th>
<td>1</td>
</tr>
<tr>
<th>code du service national</th>
<td>1</td>
</tr>
<tr>
<th>2003-1311 du 2003-12-30</th>
<td>1</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
......
etudes_amendements/eda_ref.py 0 → 100644
+ 21
− 0
View file @ e3e5e662
# AUTOGENERATED! DO NOT EDIT! File to edit: notebook/eda_ref_amendements.ipynb (unless otherwise specified).
__all__ = ['display_distinct']
# Cell
def display_distinct(df):
columns = df.columns
to_be_removed = []
for column in columns:
nb_unique_values = eval('df["' + column + '"].nunique()')
print("Distinct values in", column, ":", nb_unique_values)
if nb_unique_values > 50:
to_be_removed.append(column)
print("\nColumn with too many distinct values :\n", to_be_removed)
'''
Display distinct values
'''
columns_redux = [item for item in columns if item not in to_be_removed ]
for column in columns_redux:
print("Distinct values in", column)
eval('print(df["' + column + '"].value_counts())')
\ No newline at end of file
notebook/eda_ref_amendements.ipynb
+ 487
− 393
View file @ e3e5e662
%% Cell type:code id:through-station tags:
%% Cell type:code id:constant-inspection tags:
``` python
#default_exp eda_ref
```
%% Cell type:code id:documented-billy tags:
``` python
import pandas as pd
```
%% Cell type:code id:frequent-latest tags:
%% Cell type:code id:lasting-secretary tags:
``` python
#hide
# Put these at the top of every notebook, to get automatic reloading and inline plotting
%reload_ext autoreload
%autoreload 2
%matplotlib inline
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = "all"
```
%% Cell type:code id:integral-signal tags:
%% Cell type:code id:ranking-carol tags:
``` python
df = pd.read_csv("https://github.com/leximpact/donnees-extraites-assemblee/raw/main/references_amendements_plfss_2020-2021.csv")
df.columns
df.head(3)
```
%% Output
Index(['alinea', 'alinea1', 'alinea2', 'article', 'book', 'chapter',
'code-part', 'law', 'lawType', 'paragraph', 'section', 'section1',
'sentence', 'text', 'title'],
dtype='object')
alinea alinea1 alinea2 article book chapter code-part \
0 V order: 5 NaN NaN NaN NaN NaN NaN
1 NaN NaN NaN 575 NaN NaN NaN
2 NaN NaN NaN 575 A NaN NaN NaN
law lawType paragraph section section1 sentence \
0 NaN NaN NaN NaN NaN NaN
1 code général des impôts code NaN NaN NaN NaN
2 code général des impôts code NaN NaN NaN NaN
text title
0 au V NaN
1 aux articles 575 et 575 A du code général des ... NaN
2 aux articles 575 et 575 A du code général des ... NaN
%% Cell type:code id:authorized-collector tags:
%% Cell type:code id:missing-seating tags:
``` python
columns = df.columns
to_be_removed = []
for column in columns:
nb_unique_values = eval('df["' + column + '"].nunique()')
print("Distinct values in", column, ":", nb_unique_values)
if nb_unique_values > 50:
to_be_removed.append(column)
print("\nColumn with too many distinct values :\n", to_be_removed)
'''
Display distinct values
'''
columns_redux = [item for item in columns if item not in to_be_removed ]
for column in columns_redux:
print("Distinct values in", column)
eval('df["' + column + '"].value_counts()')
#export
def display_distinct(df):
columns = df.columns
to_be_removed = []
for column in columns:
nb_unique_values = eval('df["' + column + '"].nunique()')
print("Distinct values in", column, ":", nb_unique_values)
if nb_unique_values > 50:
to_be_removed.append(column)
print("\nColumn with too many distinct values :\n", to_be_removed)
'''
Display distinct values
'''
columns_redux = [item for item in columns if item not in to_be_removed ]
for column in columns_redux:
print("Distinct values in", column)
eval('print(df["' + column + '"].value_counts())')
```
%% Cell type:code id:middle-dominican tags:
``` python
display_distinct(df)
```
%% Output
Distinct values in alinea : 72
Distinct values in alinea1 : 19
Distinct values in alinea2 : 7
Distinct values in article : 140
Distinct values in book : 19
Distinct values in chapter : 13
Distinct values in code-part : 5
Distinct values in law : 55
Distinct values in lawType : 6
Distinct values in paragraph : 3
Distinct values in section : 17
Distinct values in section1 : 2
Distinct values in sentence : 8
Distinct values in text : 759
Distinct values in title : 18
Column with too many distinct values :
['alinea', 'article', 'law', 'text']
'\nDisplay distinct values\n'
Distinct values in alinea1
1 112
2 71
b order: b 49
3 48
a order: a 41
4° order: 4 20
1° order: 1 11
indirect: -1 8
c order: c 7
C order: 100 7
c order: c 7
4 6
2° order: 2 4
5 4
7 3
f order: f 2
D order: 500 2
12° order: 12 2
3° order: 3 1
d order: d 1
Name: alinea1, dtype: int64
Distinct values in alinea2
2 5
3 2
1 2
c order: c 1
a bis order: a 1
b order: b 1
7 1
a bis order: a 1
c order: c 1
Name: alinea2, dtype: int64
Distinct values in book
IV 22
II 21
Ier 21
indirect: (relative: 0) 18
III 16
indirect: 1 15
VII 12
1 9
VIII 6
2 5
I 4
8 3
VI 3
IX 2
7 2
1er 2
IX 2
V 1
4 1
5 1
4 1
Name: book, dtype: int64
Distinct values in chapter
II 33
V 26
Ier 24
IV 14
III 11
indirect: (relative: 0) 8
2 5
VI 5
5 4
7 3
1er 2
4 2
1er 2
3 1
Name: chapter, dtype: int64
Distinct values in code-part
indirect: 1 26
order: 6 18
order: 2 12
order: 5 4
order: 3 4
order: 5 4
Name: code-part, dtype: int64
Distinct values in lawType
code 3982
loi 348
constitution 34
arrêté 8
décret 6
ordonnance 3
Name: lawType, dtype: int64
Distinct values in paragraph
1.0 2
2.0 2
8.0 1
Name: paragraph, dtype: int64
Distinct values in section
5 21
1 12
2 9
3 9
IV 4
13 3
4 2
III 2
VI 2
indirect: (relative: 0) 2
7 2
15 1
14 1
indirect: (relative: 0) 2
VI 2
III 2
order: 3 1
V 1
14 1
15 1
8 1
order: 3 1
XX 1
Name: section, dtype: int64
Distinct values in section1
4.0 3
1.0 3
Name: section1, dtype: int64
Distinct values in sentence
1 465
2 301
indirect: -1 78
3 54
indirect: (relative: 0) 16
4 5
indirect: 1 2
5 1
Name: sentence, dtype: int64
Distinct values in title
III 34
II 30
Ier 25
VI 11
IV 11
indirect: (relative: 0) 10
I 7
II indirect: (relative: 0) 4
4 4
6 3
II indirect: (relative: 0) 4
V 3
6 3
3 3
1 2
9 1
2 1
7 1
1er 1
2 1
5 1
9 1
Name: title, dtype: int64
%% Cell type:code id:yellow-aviation tags:
%% Cell type:code id:given-error tags:
``` python
df.law.value_counts()
df.law.value_counts().to_frame()
```
%% Output
code général des impôts 1358
code de la sécurité sociale 1309
indirect: (relative: 0) 661
code de la santé publique 357
code rural et de la pêche maritime 181
code du travail 152
code de l’action sociale et des familles 146
Constitution 34
code des assurances 19
code pénal 18
code de la mutualité 14
code rural 14
code des transports 10
code général des collectivités territoriales 9
code des pensions militaires d’invalidité et des victimes de guerre 7
code de commerce 7
du 2019-12-24 6
code monétaire et financier 6
2019-1446 du 2019-12-24 6
code de l’entrée et du séjour des étrangers et du droit d’asile 4
code de procédure pénale 4
code du sport 4
code des communes 4
code de la propriété intellectuelle 3
livre des procédures fiscales 3
78-17 du 1978-01-06 3
2012-1404 du 2012-12-17 3
du 1992-03-26 3
code civil 2
code des pensions civiles et militaires de retraite 2
code de l’organisation judiciaire 2
code de l’Action Sociale et des Familles 2
2013-1203 du 2013-12-23 2
du 1978-01-06 2
2015-1702 du 2015-12-21 2
98-1194 du 1998-12-23 2
du 1901-07-01 2
du 2017-03-16 1
du 2006-09-15 1
du 2002-10-28 1
du 2020-07-09 1
2003-1311 du 2003-12-30 1
du 2018-02-22 1
du 2009-12-23 1
code de la défense 1
2006-1640 du 2006-12-21 1
code des procédures civiles d’exécution 1
Code de la santé publique 1
2018-1203 du 2018-12-22 1
code du tourisme 1
du 2020-08-07 1
code de l’environnement 1
indirect: -1 1
2014-1554 du 2014-12-22 1
code du service national 1
Name: law, dtype: int64
law
code général des impôts 1358
code de la sécurité sociale 1309
indirect: (relative: 0) 661
code de la santé publique 357
code rural et de la pêche maritime 181
code du travail 152
code de l’action sociale et des familles 146
Constitution 34
code des assurances 19
code pénal 18
code de la mutualité 14
code rural 14
code des transports 10
code général des collectivités territoriales 9
code des pensions militaires d’invalidité et de... 7
code de commerce 7
2019-1446 du 2019-12-24 6
code monétaire et financier 6
du 2019-12-24 6
code des communes 4
code de l’entrée et du séjour des étrangers et ... 4
code de procédure pénale 4
code du sport 4
livre des procédures fiscales 3
du 1992-03-26 3
2012-1404 du 2012-12-17 3
code de la propriété intellectuelle 3
78-17 du 1978-01-06 3
code civil 2
2015-1702 du 2015-12-21 2
du 1978-01-06 2
code de l’organisation judiciaire 2
code des pensions civiles et militaires de retr... 2
98-1194 du 1998-12-23 2
2013-1203 du 2013-12-23 2
code de l’Action Sociale et des Familles 2
du 1901-07-01 2
code de la défense 1
du 2009-12-23 1
2006-1640 du 2006-12-21 1
Code de la santé publique 1
code du tourisme 1
indirect: -1 1
du 2020-08-07 1
2014-1554 du 2014-12-22 1
du 2020-07-09 1
du 2006-09-15 1
code de l’environnement 1
du 2018-02-22 1
code des procédures civiles d’exécution 1
2018-1203 du 2018-12-22 1
du 2002-10-28 1
du 2017-03-16 1
code du service national 1
2003-1311 du 2003-12-30 1
%% Cell type:code id:signed-edmonton tags:
%% Cell type:code id:front-favor tags:
``` python
```
......
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