correction erreur

content/course/modelisation/0_preprocessing.Rmd

@@ -163,8 +163,11 @@ l'une des surcouches à JavaScript vue dans la partie [visualisation](#visualisa
 
 En l'occurrence, on peut utiliser `plotly` pour tenir compte de la population:
 
+{{< chart data="../course/modelisation/people_vote" >}}
+
+La Figure a été obtenue avec le code suivant:
 
-```{python, include = TRUE, echo=TRUE}
+```{python, message = FALSE, echo=TRUE, warning = FALSE}
 import plotly
 import plotly.graph_objects as go
 import pandas as pd
@@ -185,9 +188,7 @@ centroids = pd.DataFrame(centroids[["county_name",'lon','lat','winner', 'CENSUS_
 groups = centroids.groupby('winner')
 
 df = centroids.copy()
-```
 
-```{python, include = TRUE, echo=TRUE}
 df['color'] = df['winner'].replace(color_dict)
 df['size'] = df['CENSUS_2010_POP']/6000
 df['text'] = df['CENSUS_2010_POP'].astype(int).apply(lambda x: '<br>Population: {:,} people'.format(x))
@@ -202,9 +203,7 @@ fig_plotly = go.Figure(data=go.Scattergeo(
     marker_size = df['size'],
     hoverinfo="text"
     ))
-```
 
-```{python, include = TRUE, echo=TRUE}
 fig_plotly.update_traces(
   marker = {'opacity': 0.5, 'line_color': 'rgb(40,40,40)', 'line_width': 0.5, 'sizemode': 'area'}
 )
@@ -213,7 +212,6 @@ fig_plotly.update_layout(
         title_text = "Reproduction of the \"Acres don't vote, people do\" map <br>(Click legend to toggle traces)",
         showlegend = True,
         geo = {"scope" = 'usa', "landcolor" = 'rgb(217, 217, 217)'}
-        )
     )
 ```
 
@@ -222,7 +220,6 @@ fig_plotly.update_layout(
 fig_plotly.write_json("people_vote.json")
 ```
 
-{{< chart data="../course/modelisation/people_vote" >}}
 
 
 ## Explorer la structure des données