.. _enediscartesrst:

==========================
Tracer une carte en Python
==========================


.. only:: html

    **Links:** :download:`notebook <enedis_cartes.ipynb>`, :downloadlink:`html <enedis_cartes2html.html>`, :download:`PDF <enedis_cartes.pdf>`, :download:`python <enedis_cartes.py>`, :downloadlink:`slides <enedis_cartes.slides.html>`, :githublink:`GitHub|_doc/notebooks/visualisation/enedis_cartes.ipynb|*`


Le notebook propose plusieurs façons de tracer une carte en Python.

Il y a principalement trois façons de tracer une carte. La première est
statique avec des modules comme
`basemap <https://matplotlib.org/basemap/>`__ (*plus trop maintenu*) ou
`cartopy <http://scitools.org.uk/cartopy/>`__ qui sont des surcouches de
`matplotlib <https://matplotlib.org/>`__. Le second moyen est une carte
animée ou non dans un notebook avec des modules comme
`pygal <http://www.pygal.org/en/stable/documentation/types/maps/pygal_maps_world.html>`__,
`plotly <https://plot.ly/python/choropleth-maps/>`__. La dernière
consiste à insérer des éléments sur une carte en ligne telle que
`OpenStreetMap <https://www.openstreetmap.org/>`__ et le module
`folium <https://github.com/python-visualization/folium>`__ ou
`ipyleaflet <https://github.com/ellisonbg/ipyleaflet>`__.

Il y a souvent trois problèmes avec les cartes. Le premier sont avec les
coordonnées. Les plus utilisées sont les coordonnées `longitude /
latitude <https://fr.wikipedia.org/wiki/Coordonn%C3%A9es_g%C3%A9ographiques>`__.
Le problème est chaque pays a son propre système adapté à sa position
géographique. Il faut souvent convertir (voir
`lambert93_to_WGPS <http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/ensae_teaching_cs/helpers/geo_helper.html?highlight=basemap#ensae_teaching_cs.helpers.geo_helper.lambert93_to_WGPS>`__,
`pyproj <https://jswhit.github.io/pyproj/>`__). Le second problème est
l’ajout de repères géographiques (frontières, fleuves, …). Certains
modules contiennent certaines informations, souvent pour les Etats-Unis.
Mais souvent, il faut récupérer ces informations sur les sites open data
de chaque pays : `départements
français <http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/notebooks/td1a_cenonce_session_12.html?highlight=basemap#cartes-avec-les-departements>`__.
La troisième difficulté est qu’on veut tracer des cartes très chargées
et cela prend un temps fou.

.. code:: ipython3

    from jyquickhelper import add_notebook_menu
    add_notebook_menu()






.. contents::
    :local:





.. code:: ipython3

    %matplotlib inline

données
-------

.. code:: ipython3

    from papierstat.datasets import load_enedis_dataset
    df = load_enedis_dataset()
    df.head(n=2).T






.. raw:: html

    <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>0</th>
          <th>1</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>Année</th>
          <td>2016</td>
          <td>2016</td>
        </tr>
        <tr>
          <th>Nom commune</th>
          <td>Ponteilla</td>
          <td>Varreddes</td>
        </tr>
        <tr>
          <th>Code commune</th>
          <td>66145</td>
          <td>77483</td>
        </tr>
        <tr>
          <th>Nom EPCI</th>
          <td>CU Perpignan Méditerranée   (Pmcu)</td>
          <td>CA Pays de Meaux</td>
        </tr>
        <tr>
          <th>Code EPCI</th>
          <td>200027183</td>
          <td>247700628</td>
        </tr>
        <tr>
          <th>Type EPCI</th>
          <td>CU</td>
          <td>CA</td>
        </tr>
        <tr>
          <th>Nom département</th>
          <td>Pyrénées-Orientales</td>
          <td>Seine-et-Marne</td>
        </tr>
        <tr>
          <th>Code département</th>
          <td>66</td>
          <td>77</td>
        </tr>
        <tr>
          <th>Nom région</th>
          <td>Occitanie</td>
          <td>Île-de-France</td>
        </tr>
        <tr>
          <th>Code région</th>
          <td>76</td>
          <td>11</td>
        </tr>
        <tr>
          <th>Domaine de tension</th>
          <td>BT &gt; 36 kVA</td>
          <td>BT &lt;= 36 kVA</td>
        </tr>
        <tr>
          <th>Nb sites Photovoltaïque Enedis</th>
          <td>73</td>
          <td>10</td>
        </tr>
        <tr>
          <th>Energie produite annuelle Photovoltaïque Enedis (MWh)</th>
          <td>10728.6</td>
          <td>21.4168</td>
        </tr>
        <tr>
          <th>Nb sites Eolien Enedis</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Energie produite annuelle Eolien Enedis (MWh)</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Nb sites Hydraulique Enedis</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Energie produite annuelle Hydraulique Enedis (MWh)</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Nb sites Bio Energie Enedis</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Energie produite annuelle Bio Energie Enedis (MWh)</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Nb sites Cogénération Enedis</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Energie produite annuelle Cogénération Enedis (MWh)</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Nb sites Autres filières Enedis</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Energie produite annuelle Autres filières Enedis (MWh)</th>
          <td>0</td>
          <td>0</td>
        </tr>
        <tr>
          <th>Geo Point 2D</th>
          <td>42.6323626522, 2.82631103755</td>
          <td>49.0059497861, 2.92725176893</td>
        </tr>
        <tr>
          <th>long</th>
          <td>2.82631</td>
          <td>2.92725</td>
        </tr>
        <tr>
          <th>lat</th>
          <td>42.6324</td>
          <td>49.0059</td>
        </tr>
      </tbody>
    </table>
    </div>



cartopy
-------

`basemap <https://matplotlib.org/basemap/users/intro.html#cartopy-new-management-and-eol-announcement>`__
est l’ancêtre des modules de tracé de cartes sous Python mais il n’est
plus vraiment maintenu. Il faut utiliser
`cartopy <http://scitools.org.uk/cartopy/>`__. Contrairement à
*basemap*, *cartopy* n’installe pas toutes les données dont il a besoin
mais télécharge celle dont il a besoin pour tracer une carte. La
`projection <http://scitools.org.uk/cartopy/docs/latest/crs/projections.html>`__
indique comment la surface de la terre, sphérique, sera projetée dans le
plan. Ensuite, il faut un système de coordonnées pour localiser un point
sur la surface. Le plus utilisée est
`WGS_84 <https://fr.wikipedia.org/wiki/WGS_84>`__ ou longitude,
latitude. En France,
l’\ `INSEE <https://www.insee.fr/fr/information/2526242>`__ utilise
aussi le système `Lambert 93 <https://epsg.io/2154>`__ ou *EPSG 2154*.
Source : `Introduction à la manipulation de données
cartographiques <https://medium.com/@_FrancoisM/introduction-%C3%A0-la-manipulation-de-donn%C3%A9es-cartographiques-23b4e38d8f0f>`__.
Tout n’est pas parfait dans Cartopy comme ce problème `Create Cartopy
projection from
pyproj.Proj <https://github.com/SciTools/cartopy/issues/813>`__.

.. code:: ipython3

    import cartopy.crs as ccrs
    import cartopy.feature as cfeature
    import matplotlib.pyplot as plt
    
    fig = plt.figure(figsize=(7,7))
    ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
    ax.set_extent([-5, 10, 42, 52])
    
    ax.add_feature(cfeature.OCEAN)
    ax.add_feature(cfeature.COASTLINE)
    ax.add_feature(cfeature.BORDERS, linestyle=':')
    ax.plot(df.long, df.lat, '.')
    ax.set_title('France');



.. image:: enedis_cartes_7_0.png


On peut obtenir une carte un peu plus détaillée mais le module
`cartopy <https://scitools.org.uk/cartopy/docs/latest/>`__ télécharge
des données pour ce faire. Cela se faire avec l’instruction
`with_scale <https://scitools.org.uk/cartopy/docs/latest/matplotlib/feature_interface.html?highlight=with_scale#cartopy.feature.NaturalEarthFeature.with_scale>`__
qui propose trois résolutions :10m, 50m, 110m.

.. code:: ipython3

    import cartopy.crs as ccrs
    import cartopy.feature as cfeature
    import matplotlib.pyplot as plt
    
    fig = plt.figure(figsize=(7,7))
    ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
    ax.set_extent([-5, 10, 42, 52])
    
    ax.add_feature(cfeature.OCEAN.with_scale('50m'))
    ax.add_feature(cfeature.COASTLINE.with_scale('50m'))
    ax.add_feature(cfeature.RIVERS.with_scale('50m'))
    ax.add_feature(cfeature.BORDERS.with_scale('50m'), linestyle=':')
    ax.plot(df.long, df.lat, '.')
    ax.set_title('France');



.. image:: enedis_cartes_9_0.png


On ajoute un système de coordonnées français particulièrement
intéressant pour la France. On convertit d’abord longitude, latitude en
Lambert 93.

.. code:: ipython3

    from pyproj import Proj, transform
    p1 = Proj(init='epsg:4326')  # longitude / latidude
    p2 = Proj(init='epsg:2154')  # Lambert 93
    transform(p1, p2, -5, 42)




.. parsed-literal::
    (36954.44139527541, 6133555.145153085)



.. code:: ipython3

    transform(p1, p2, 10, 52)




.. parsed-literal::
    (1181938.177574663, 7233428.2223392185)



On convertit toutes les coordonnées.

.. code:: ipython3

    lamb_x, lamb_y = transform(p1, p2, df.long.values, df.lat.values)

Et on dessine deux cartes, la première en longitude, latitude, la
seconde en Lambert 93.

.. code:: ipython3

    import cartopy.crs as ccrs
    from cartopy.crs import CRS, Globe
    import cartopy.feature as cfeature
    import matplotlib.pyplot as plt
    
    def parse_option_pyproj(s):
        r = s.strip('+').split('=')
        if len(r) == 2:
            if ',' in r[1]:
                return r[0], tuple(int(_) for _ in r[1].split(','))
            try:
                return r[0], float(r[1])
            except ValueError:
                return r[0], r[1]
        else:
            return r[0], True
        
    class MyCRS(CRS):
        def __init__(self, proj4_params, globe=None):
            super(MyCRS, self).__init__(proj4_params, globe or Globe())
    
    # voir https://epsg.io/2154, cliquer sur proj.4
    proj4_params = "+proj=lcc +lat_1=49 +lat_2=44 +lat_0=46.5 +lon_0=3 +x_0=700000 " + \
                   "+y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs"
        
    # Ne sert à rien si ce n'est à vérifier que le format est correct.    
    import pyproj
    lambert93 = pyproj.Proj(proj4_params)
    
    # Système de coordonnées de cartopy.
    proj4_list = [(k, v) for k,v in map(parse_option_pyproj, proj4_params.split())]
    crs_lambert93 = MyCRS(proj4_list, globe=None)
    
    fig = plt.figure(figsize=(14,7))
    ax = fig.add_subplot(1, 2, 1, projection=ccrs.PlateCarree())
    ax.set_extent([-5, 10, 42, 52])
    
    ax.add_feature(cfeature.OCEAN)
    ax.add_feature(cfeature.COASTLINE)
    ax.add_feature(cfeature.BORDERS, linestyle=':')
    ax.plot(df.long, df.lat, '.')  # 
    ax.set_title('France - Long/Lat')
    
    df = df.copy()
    
    
    ax = fig.add_subplot(1, 2, 2, projection=ccrs.PlateCarree())
    ax.set_extent([36954, 1181938, 6133555, 7233428], crs_lambert93)
    ax.add_feature(cfeature.COASTLINE)
    ax.add_feature(cfeature.BORDERS, linestyle=':')
    ax.plot(lamb_x, lamb_y, '.', transform=crs_lambert93)  # ne pas oublier transform=crs_lambert93
    ax.set_title('France - Lambert93');



.. image:: enedis_cartes_16_0.png


plotly, gmaps, bingmaps
-----------------------

Il faut s’authentifier. Voir
`gmaps <https://github.com/pbugnion/gmaps>`__,
`bingmaps <http://bharadwajyarlagadda.github.io/bingmaps/index.html>`__,
`plotly <https://plot.ly/python/maps/>`__.

geopandas
---------

`geopandas <http://geopandas.org/>`__ est l’outil qui devient populaire.
La partie cartes est accessible via l’\ `API de
geopandas <http://geopandas.org/mapping.html>`__. Il n’inclut moins de
données que *basemap*.

.. code:: ipython3

    import geopandas as gpd
    cities = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))
    cities.head()






.. raw:: html

    <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>geometry</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>Vatican City</td>
          <td>POINT (12.45338654497177 41.90328217996012)</td>
        </tr>
        <tr>
          <th>1</th>
          <td>San Marino</td>
          <td>POINT (12.44177015780014 43.936095834768)</td>
        </tr>
        <tr>
          <th>2</th>
          <td>Vaduz</td>
          <td>POINT (9.516669472907267 47.13372377429357)</td>
        </tr>
        <tr>
          <th>3</th>
          <td>Luxembourg</td>
          <td>POINT (6.130002806227083 49.61166037912108)</td>
        </tr>
        <tr>
          <th>4</th>
          <td>Palikir</td>
          <td>POINT (158.1499743237623 6.916643696007725)</td>
        </tr>
      </tbody>
    </table>
    </div>



.. code:: ipython3

    world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
    world.head()






.. raw:: html

    <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>pop_est</th>
          <th>continent</th>
          <th>name</th>
          <th>iso_a3</th>
          <th>gdp_md_est</th>
          <th>geometry</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>28400000.0</td>
          <td>Asia</td>
          <td>Afghanistan</td>
          <td>AFG</td>
          <td>22270.0</td>
          <td>POLYGON ((61.21081709172574 35.65007233330923,...</td>
        </tr>
        <tr>
          <th>1</th>
          <td>12799293.0</td>
          <td>Africa</td>
          <td>Angola</td>
          <td>AGO</td>
          <td>110300.0</td>
          <td>(POLYGON ((16.32652835456705 -5.87747039146621...</td>
        </tr>
        <tr>
          <th>2</th>
          <td>3639453.0</td>
          <td>Europe</td>
          <td>Albania</td>
          <td>ALB</td>
          <td>21810.0</td>
          <td>POLYGON ((20.59024743010491 41.85540416113361,...</td>
        </tr>
        <tr>
          <th>3</th>
          <td>4798491.0</td>
          <td>Asia</td>
          <td>United Arab Emirates</td>
          <td>ARE</td>
          <td>184300.0</td>
          <td>POLYGON ((51.57951867046327 24.24549713795111,...</td>
        </tr>
        <tr>
          <th>4</th>
          <td>40913584.0</td>
          <td>South America</td>
          <td>Argentina</td>
          <td>ARG</td>
          <td>573900.0</td>
          <td>(POLYGON ((-65.50000000000003 -55.199999999999...</td>
        </tr>
      </tbody>
    </table>
    </div>



.. code:: ipython3

    import matplotlib.pyplot as plt
    fig, ax = plt.subplots(1, 1, figsize=(6, 6))
    ax.set_aspect('equal')
    world.plot(ax=ax, color='white', edgecolor='black')
    cities.plot(ax=ax, marker='o', color='red', markersize=5)
    ax.set_title('Carte avec geopandas');



.. image:: enedis_cartes_21_0.png


On restreint à l’Europe et pas trop loin de la France métropole.

.. code:: ipython3

    from shapely.geometry import Polygon
    europe = world[world.continent == "Europe"].copy()
    europe['geometry'] = europe.geometry.intersection(Polygon([(-10,35), (50,35), (50,70), (-10, 70)]))
    europe.head()






.. raw:: html

    <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>pop_est</th>
          <th>continent</th>
          <th>name</th>
          <th>iso_a3</th>
          <th>gdp_md_est</th>
          <th>geometry</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>2</th>
          <td>3639453.0</td>
          <td>Europe</td>
          <td>Albania</td>
          <td>ALB</td>
          <td>21810.0</td>
          <td>POLYGON ((20.59024743010491 41.85540416113361,...</td>
        </tr>
        <tr>
          <th>9</th>
          <td>8210281.0</td>
          <td>Europe</td>
          <td>Austria</td>
          <td>AUT</td>
          <td>329500.0</td>
          <td>POLYGON ((16.97966678230404 48.12349701597631,...</td>
        </tr>
        <tr>
          <th>12</th>
          <td>10414336.0</td>
          <td>Europe</td>
          <td>Belgium</td>
          <td>BEL</td>
          <td>389300.0</td>
          <td>POLYGON ((3.314971144228537 51.34578095153609,...</td>
        </tr>
        <tr>
          <th>16</th>
          <td>7204687.0</td>
          <td>Europe</td>
          <td>Bulgaria</td>
          <td>BGR</td>
          <td>93750.0</td>
          <td>POLYGON ((22.65714969248299 44.23492300066128,...</td>
        </tr>
        <tr>
          <th>18</th>
          <td>4613414.0</td>
          <td>Europe</td>
          <td>Bosnia and Herz.</td>
          <td>BIH</td>
          <td>29700.0</td>
          <td>POLYGON ((19.00548628101012 44.86023366960916,...</td>
        </tr>
      </tbody>
    </table>
    </div>



.. code:: ipython3

    from shapely.geometry import Point
    points = [Point(lon, lat) for ind, lat, lon in df[['lat', 'long']][:1000].itertuples()]
    enedis = gpd.GeoDataFrame(data=dict(geometry=points))
    enedis.head()






.. raw:: html

    <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>geometry</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>POINT (2.82631103755 42.6323626522)</td>
        </tr>
        <tr>
          <th>1</th>
          <td>POINT (2.92725176893 49.0059497861)</td>
        </tr>
        <tr>
          <th>2</th>
          <td>POINT (4.21389044246 44.4604648196)</td>
        </tr>
        <tr>
          <th>3</th>
          <td>POINT (0.974214866115 47.1204664673)</td>
        </tr>
        <tr>
          <th>4</th>
          <td>POINT (5.08531612205 48.6170558356)</td>
        </tr>
      </tbody>
    </table>
    </div>



.. code:: ipython3

    fig, ax = plt.subplots(1, 1, figsize=(5, 4))
    europe.plot(ax=ax, color='white', edgecolor='black')
    enedis.plot(ax=ax, marker='o', color='red', markersize=2)
    ax.set_title("Carte de l'Europe avec geopandas");




.. parsed-literal::
    Text(0.5,1,"Carte de l'Europe avec geopandas")




.. image:: enedis_cartes_25_1.png


folium
------

.. code:: ipython3

    import folium
    map_osm = folium.Map(location=[48.85, 2.34])
    
    for ind, lat, lon, com in df[['lat', 'long', 'Nom commune']][:50].itertuples():
        map_osm.add_child(folium.RegularPolygonMarker(location=[lat,lon], popup=com,
                           fill_color='#132b5e', radius=5))
    
    map_osm






.. raw:: html

    <div style="width:100%;"><div style="position:relative;width:100%;height:0;padding-bottom:60%;"><iframe src="data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS=false; L_NO_TOUCH=false; L_DISABLE_3D=false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
    <style>#map_b1853966adfb4ef8a6f73f2e303dec8b {
        position: relative;
        width: 100.0%;
        height: 100.0%;
        left: 0.0%;
        top: 0.0%;
        }
    </style>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet-dvf/0.3.0/leaflet-dvf.markers.min.js"></script>
</head>
<body>    
    
    <div class="folium-map" id="map_b1853966adfb4ef8a6f73f2e303dec8b" ></div>
</body>
<script>    
    
    
        var bounds = null;
    

    var map_b1853966adfb4ef8a6f73f2e303dec8b = L.map(
        'map_b1853966adfb4ef8a6f73f2e303dec8b', {
        center: [48.85, 2.34],
        zoom: 10,
        maxBounds: bounds,
        layers: [],
        worldCopyJump: false,
        crs: L.CRS.EPSG3857,
        zoomControl: true,
        });

    
    
    var tile_layer_1231430cfbec4f9cad55e1c3b9824a3f = L.tileLayer(
        'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
        {
        "attribution": null,
        "detectRetina": false,
        "maxNativeZoom": 18,
        "maxZoom": 18,
        "minZoom": 0,
        "noWrap": false,
        "subdomains": "abc"
}).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
    
            var regular_polygon_marker_8a35fd3462c34e08ac3bcdfe56a2b7e7 = new L.RegularPolygonMarker(
                new L.LatLng(42.6323626522,2.82631103755),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_355df78e5d5245d7a9da0f9816c3cabd = L.popup({maxWidth: '300'
            
            });

            
                var html_b6d9ce410fba426989963adb509628ad = $('<div id="html_b6d9ce410fba426989963adb509628ad" style="width: 100.0%; height: 100.0%;">Ponteilla</div>')[0];
                popup_355df78e5d5245d7a9da0f9816c3cabd.setContent(html_b6d9ce410fba426989963adb509628ad);
            

            regular_polygon_marker_8a35fd3462c34e08ac3bcdfe56a2b7e7.bindPopup(popup_355df78e5d5245d7a9da0f9816c3cabd)
            ;

            
        
    
            var regular_polygon_marker_2c854587cf03417ea2903644b4e2a005 = new L.RegularPolygonMarker(
                new L.LatLng(49.0059497861,2.92725176893),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_082e34c628794886a579a66f4a001cd7 = L.popup({maxWidth: '300'
            
            });

            
                var html_c9912f03465746dc8c0b18fc4dda79b2 = $('<div id="html_c9912f03465746dc8c0b18fc4dda79b2" style="width: 100.0%; height: 100.0%;">Varreddes</div>')[0];
                popup_082e34c628794886a579a66f4a001cd7.setContent(html_c9912f03465746dc8c0b18fc4dda79b2);
            

            regular_polygon_marker_2c854587cf03417ea2903644b4e2a005.bindPopup(popup_082e34c628794886a579a66f4a001cd7)
            ;

            
        
    
            var regular_polygon_marker_72d58b972b174dddad42841a19f84262 = new L.RegularPolygonMarker(
                new L.LatLng(44.4604648196,4.21389044246),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_fff78584871d4cfcae5cfa855f1b3e05 = L.popup({maxWidth: '300'
            
            });

            
                var html_09ca09104ff242b69adeefb23118530e = $('<div id="html_09ca09104ff242b69adeefb23118530e" style="width: 100.0%; height: 100.0%;">Lablachère</div>')[0];
                popup_fff78584871d4cfcae5cfa855f1b3e05.setContent(html_09ca09104ff242b69adeefb23118530e);
            

            regular_polygon_marker_72d58b972b174dddad42841a19f84262.bindPopup(popup_fff78584871d4cfcae5cfa855f1b3e05)
            ;

            
        
    
            var regular_polygon_marker_494c16a32ff347d58c5f5e5974ed1c2e = new L.RegularPolygonMarker(
                new L.LatLng(47.1204664673,0.974214866115),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_7c8789a7ced846d99f2aa723c9c584a3 = L.popup({maxWidth: '300'
            
            });

            
                var html_30e7b0b6493a4491b1722c7bd850120c = $('<div id="html_30e7b0b6493a4491b1722c7bd850120c" style="width: 100.0%; height: 100.0%;">Loches</div>')[0];
                popup_7c8789a7ced846d99f2aa723c9c584a3.setContent(html_30e7b0b6493a4491b1722c7bd850120c);
            

            regular_polygon_marker_494c16a32ff347d58c5f5e5974ed1c2e.bindPopup(popup_7c8789a7ced846d99f2aa723c9c584a3)
            ;

            
        
    
            var regular_polygon_marker_5c2dbd9a669b46bbaef154f58d09801b = new L.RegularPolygonMarker(
                new L.LatLng(48.6170558356,5.08531612205),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_7aa726cee8f143688019d16a2be83f9b = L.popup({maxWidth: '300'
            
            });

            
                var html_08015b280be146dba941d9b331af34cd = $('<div id="html_08015b280be146dba941d9b331af34cd" style="width: 100.0%; height: 100.0%;">Cousances-les-Forges</div>')[0];
                popup_7aa726cee8f143688019d16a2be83f9b.setContent(html_08015b280be146dba941d9b331af34cd);
            

            regular_polygon_marker_5c2dbd9a669b46bbaef154f58d09801b.bindPopup(popup_7aa726cee8f143688019d16a2be83f9b)
            ;

            
        
    
            var regular_polygon_marker_d4ed7057ce264f7fa9229585db034282 = new L.RegularPolygonMarker(
                new L.LatLng(48.9809402743,6.74049584113),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_9475dfe7192b4813bf89fda122a657f2 = L.popup({maxWidth: '300'
            
            });

            
                var html_83ee913c29a84e6fb2014c3d06b78543 = $('<div id="html_83ee913c29a84e6fb2014c3d06b78543" style="width: 100.0%; height: 100.0%;">Grostenquin</div>')[0];
                popup_9475dfe7192b4813bf89fda122a657f2.setContent(html_83ee913c29a84e6fb2014c3d06b78543);
            

            regular_polygon_marker_d4ed7057ce264f7fa9229585db034282.bindPopup(popup_9475dfe7192b4813bf89fda122a657f2)
            ;

            
        
    
            var regular_polygon_marker_9439f7d25bc64a8b8a4232e57acd98d6 = new L.RegularPolygonMarker(
                new L.LatLng(43.7783427892,1.52699539175),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_e57864becc4b4814a661085145ee3f9e = L.popup({maxWidth: '300'
            
            });

            
                var html_163ab03c0e9c499ab78740dca6855159 = $('<div id="html_163ab03c0e9c499ab78740dca6855159" style="width: 100.0%; height: 100.0%;">Montjoire</div>')[0];
                popup_e57864becc4b4814a661085145ee3f9e.setContent(html_163ab03c0e9c499ab78740dca6855159);
            

            regular_polygon_marker_9439f7d25bc64a8b8a4232e57acd98d6.bindPopup(popup_e57864becc4b4814a661085145ee3f9e)
            ;

            
        
    
            var regular_polygon_marker_f8a155ff7c9048638ae867917ce94ca8 = new L.RegularPolygonMarker(
                new L.LatLng(43.474861982,3.50984991805),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_7f0d9752ffc94ade8266721ad44ac99b = L.popup({maxWidth: '300'
            
            });

            
                var html_2ac22bafe57b4cc79d8e0cfdcacc6365 = $('<div id="html_2ac22bafe57b4cc79d8e0cfdcacc6365" style="width: 100.0%; height: 100.0%;">Montagnac</div>')[0];
                popup_7f0d9752ffc94ade8266721ad44ac99b.setContent(html_2ac22bafe57b4cc79d8e0cfdcacc6365);
            

            regular_polygon_marker_f8a155ff7c9048638ae867917ce94ca8.bindPopup(popup_7f0d9752ffc94ade8266721ad44ac99b)
            ;

            
        
    
            var regular_polygon_marker_c9bf646c19a64762b49072030113c1e7 = new L.RegularPolygonMarker(
                new L.LatLng(44.5489197689,4.50325802264),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_9626acacd96245f3be07a4cfadf37b2d = L.popup({maxWidth: '300'
            
            });

            
                var html_5c42eab90d374580943239e2ce771c30 = $('<div id="html_5c42eab90d374580943239e2ce771c30" style="width: 100.0%; height: 100.0%;">Villeneuve-de-Berg</div>')[0];
                popup_9626acacd96245f3be07a4cfadf37b2d.setContent(html_5c42eab90d374580943239e2ce771c30);
            

            regular_polygon_marker_c9bf646c19a64762b49072030113c1e7.bindPopup(popup_9626acacd96245f3be07a4cfadf37b2d)
            ;

            
        
    
            var regular_polygon_marker_c5ad39f48074473da258feb50bd849dd = new L.RegularPolygonMarker(
                new L.LatLng(43.5865732032,0.106412584128),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_e36d4128c7524473b3caef57be9ada8f = L.popup({maxWidth: '300'
            
            });

            
                var html_162470fbdccd451989dd4add2cabc095 = $('<div id="html_162470fbdccd451989dd4add2cabc095" style="width: 100.0%; height: 100.0%;">Beaumarchés</div>')[0];
                popup_e36d4128c7524473b3caef57be9ada8f.setContent(html_162470fbdccd451989dd4add2cabc095);
            

            regular_polygon_marker_c5ad39f48074473da258feb50bd849dd.bindPopup(popup_e36d4128c7524473b3caef57be9ada8f)
            ;

            
        
    
            var regular_polygon_marker_935326cf132b4eb395e75a6658a3d5c5 = new L.RegularPolygonMarker(
                new L.LatLng(49.5592362341,0.11784853733),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
                    radius: 5
                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_1be6592904b54ff08125592bfa7d0969 = L.popup({maxWidth: '300'
            
            });

            
                var html_afe9e98fb7c94c018a02edd5543994f6 = $('<div id="html_afe9e98fb7c94c018a02edd5543994f6" style="width: 100.0%; height: 100.0%;">Octeville-sur-Mer</div>')[0];
                popup_1be6592904b54ff08125592bfa7d0969.setContent(html_afe9e98fb7c94c018a02edd5543994f6);
            

            regular_polygon_marker_935326cf132b4eb395e75a6658a3d5c5.bindPopup(popup_1be6592904b54ff08125592bfa7d0969)
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            var regular_polygon_marker_362e4d659b8f4b5a822f1851386169b2 = new L.RegularPolygonMarker(
                new L.LatLng(48.5538342428,-4.07378308793),
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                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
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                    }
                ).addTo(map_b1853966adfb4ef8a6f73f2e303dec8b);
            
    
            var popup_f7af360cf2e94f4ca92b52dc409cd71e = L.popup({maxWidth: '300'
            
            });

            
                var html_c1ef913ea36b4ad7b973e975275f5736 = $('<div id="html_c1ef913ea36b4ad7b973e975275f5736" style="width: 100.0%; height: 100.0%;">Plougourvest</div>')[0];
                popup_f7af360cf2e94f4ca92b52dc409cd71e.setContent(html_c1ef913ea36b4ad7b973e975275f5736);
            

            regular_polygon_marker_362e4d659b8f4b5a822f1851386169b2.bindPopup(popup_f7af360cf2e94f4ca92b52dc409cd71e)
            ;

            
        
    
            var regular_polygon_marker_ac8507043e4e4a588e04160f27f5d3d2 = new L.RegularPolygonMarker(
                new L.LatLng(44.1057054352,2.53638457828),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#132b5e',
                    fillOpacity: 1,
                    numberOfSides: 4,
                    rotation: 0,
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                    }
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            var popup_11df83e10e394edab128de6cfb3a4ede = L.popup({maxWidth: '300'
            
            });

            
                var html_05660c1680284b949e33029201499f4a = $('<div id="html_05660c1680284b949e33029201499f4a" style="width: 100.0%; height: 100.0%;">La Selve</div>')[0];
                popup_11df83e10e394edab128de6cfb3a4ede.setContent(html_05660c1680284b949e33029201499f4a);
            

            regular_polygon_marker_ac8507043e4e4a588e04160f27f5d3d2.bindPopup(popup_11df83e10e394edab128de6cfb3a4ede)
            ;

            
        
    
            var regular_polygon_marker_3b32e655e8a1441ebf68f0f062c07355 = new L.RegularPolygonMarker(
                new L.LatLng(46.4732388204,-1.11103004277),
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                    icon : new L.Icon.Default(),
                    color: 'black',
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                    numberOfSides: 4,
                    rotation: 0,
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            });

            
                var html_ad7b7093a1be42f484060c0df24d0fca = $('<div id="html_ad7b7093a1be42f484060c0df24d0fca" style="width: 100.0%; height: 100.0%;">Sainte-Gemme-la-Plaine</div>')[0];
                popup_38f7c25504e04dfc97c771e5d5159e14.setContent(html_ad7b7093a1be42f484060c0df24d0fca);
            

            regular_polygon_marker_3b32e655e8a1441ebf68f0f062c07355.bindPopup(popup_38f7c25504e04dfc97c771e5d5159e14)
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            var regular_polygon_marker_ecdcbbcd483d4b629a15bc1a033d0256 = new L.RegularPolygonMarker(
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                    radius: 5
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            });

            
                var html_d59cea63607a44a4bd17dcbae68230a3 = $('<div id="html_d59cea63607a44a4bd17dcbae68230a3" style="width: 100.0%; height: 100.0%;">Durtal</div>')[0];
                popup_66edc84f30d540d08a84558b164941e5.setContent(html_d59cea63607a44a4bd17dcbae68230a3);
            

            regular_polygon_marker_ecdcbbcd483d4b629a15bc1a033d0256.bindPopup(popup_66edc84f30d540d08a84558b164941e5)
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                    radius: 5
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            });

            
                var html_b5a529a2dfd4483e833871c6aa499e65 = $('<div id="html_b5a529a2dfd4483e833871c6aa499e65" style="width: 100.0%; height: 100.0%;">Saint-Amé</div>')[0];
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            regular_polygon_marker_70fe663f97e443fb8865bda233686348.bindPopup(popup_d9f80e82dfdf4a5f8d2a59be95487a40)
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cartopy avec les données d’OpenStreetMap
----------------------------------------

On peut choisir également d’inclure ces détails dans une image fixe si
l’image va dans un rapport écrit. On utilise les données
d’\ `OpenStreetMap <http://openstreetmap.fr/>`__ avec un certain `niveau
de détail <https://wiki.openstreetmap.org/wiki/Zoom_levels>`__.

.. code:: ipython3

    import cartopy.crs as ccrs
    import cartopy.feature as cfeature
    import matplotlib.pyplot as plt
    from cartopy.io.img_tiles import OSM
    
    fig = plt.figure(figsize=(8,8))
    ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
    ax.set_extent([-5, 10, 42, 52])
    
    imagery = OSM()
    ax.add_image(imagery, 5)
    # plus c'est grand, plus c'est précis, plus ça prend du temps
    
    ax.plot(df.long[:5], df.lat[:5], '.')
    ax.set_title('France');



.. image:: enedis_cartes_30_0.png