Update app.py

app.py

@@ -230,11 +230,6 @@ def moyenne_par_annee_par_quartier(data, quartier_id, year, scoring="score"):
 
 # In[17]:
 
-
-import plotly.io as pio
-pio.renderers.default = 'browser'
-
-
 # In[18]:
 
 
@@ -376,29 +371,18 @@ gdf_merged_q = pd.merge(new_gdf_q, new_df, how='left', left_on="adm2nm", right_o
 
 geojson = gdf_merged_q.__geo_interface__
 
-
-# In[109]:
-
-
-geojson
-
-
 # In[75]:
 
 
-gdf_merged_q[gdf_merged_q['adm2nm'] == "Blitta"]
-
-
 # # Map Scores de propreté pour les Préfectures du Togo
 
 # Note: la carte est centrée. Il faut zoomer en arrière pour avoir le rendu.
 
 # In[86]:
 
-with col1:
-    st.header('Score Propre')
+st.header('Score Propre')
 
-    fig = px.choropleth_mapbox(gdf_merged_q, 
+fig = px.choropleth_mapbox(gdf_merged_q, 
                               geojson=geojson,
                                locations=gdf_merged_q.index,
                                color='scores',
@@ -407,8 +391,8 @@ with col1:
                                hover_name="adm2nm",
                                color_continuous_scale="Viridis"
                               )
-    fig.update_layout(margin={'r':0, 't':0, "l": 0, 'r': 0})
-    st.plotly_chart(fig)
+fig.update_layout(margin={'r':0, 't':0, "l": 0, 'r': 0})
+st.plotly_chart(fig)
 # In[101]:
 
 
@@ -481,54 +465,10 @@ for q in quartiers:
     qm[q] = moyenne_par_quartier(data, quartier_id[q], scoring="score responsabilité")
 
 
-# In[94]:
-
-
-ids = [quartier_id[q] for q in quartiers]
-quartiers = list(qm.keys())
-scores = list(qm.values())
-
-
-# In[95]:
-
-
-respon_df =  pd.DataFrame(data={
-    'quartier': quartiers,
-    'scores': scores,
-    "quartier_id": ids
-})
-
-
-# In[102]:
-
-
-gdf_merged_q_r = pd.merge(new_gdf_q, respon_df, left_on="adm2nm", right_on="quartier", how='left')
-
 
 # In[ ]:
 
 
-
-
-
-# In[100]:
-
-with col2:
-
-    st.header('Scores Responsable')
-    fig = px.choropleth_mapbox(gdf_merged_q_r, 
-                              geojson=geojson,
-                               locations=gdf_merged_q.index,
-                               color='scores',
-                               mapbox_style="carto-positron",
-                               title="Scores de Propreté Pour Les Préfectures Du Togo",
-                               hover_name="adm2nm",
-                               color_continuous_scale="Viridis"
-                              )
-    fig.update_layout(margin={'r':0, 't':0, "l": 0, 'r': 0})
-    st.plotly_chart(fig)
-
-
 # In[ ]: