Not getting the right map color codes

Question

In my origin post, I was getting an error when trying to create my map but I think I managed to get passed that. I am sure I am not selecting the right key_on feature but not sure why this won't display the right image. Please help! I got my file from here http://adamw523.com/toronto-geojson/

I am hoping to get something like this.

crime rate in san francisco

Here is what I am tried

df_crime=pd.DataFrame(df.Neighbourhood)
df_crime['premisetype']=pd.DataFrame(df.premisetype)
df_crime['offence']=pd.DataFrame(df.offence)
df_crime['MCI']=pd.DataFrame(df.MCI) #major crime indicators e.g. Theft
df_crime['occurrencedate']=pd.DataFrame(df.occurrencedate)
df_crime['reporteddate']=pd.DataFrame(df.reporteddate)
df_crime['occurrencehour'] = df_crime.occurrencedate.dt.strftime('%H:%M')
df_crime['reportedyear'] = df_crime.reporteddate.dt.strftime('%Y')
df_crime['reportedmonth'] = df_crime.reporteddate.dt.strftime('%m')
df_crime['reportedday'] = df_crime.reporteddate.dt.strftime('%d')
df_crime['reportedhour'] = df_crime.reporteddate.dt.strftime('%H:%M')
df_crime['Lat']=pd.DataFrame(df.Lat)
df_crime['Long']=pd.DataFrame(df.Long)
df_crime.head()

And the coordinates I am using are:

TORONTO_LAT = 43.70011 TORONTO_LONG = -79.4163

I also have this code to give me the counts

df_crime1=df_crime.groupby('Neighbourhood').size().reset_index(name="Count")

world_geo = r'simple.geojson' # geojson file
# create map of Toronto using latitude and longitude values
map_toronto = folium.Map(location=[TORONTO_LAT,TORONTO_LONG ], zoom_start=10)

folium.Choropleth(geo_data=world_geo,
                  data=df_crime1, 
                  columns=['Neighbourhood', 'Count'],
                  key_on='feature.properties.DAUID',
                  fill_color='YlOrRd',
                  fill_opacity=0.7,
                  line_opacity=0.2,
                  legend_name='Crime Rate in Toronto'
                  ).add_to(map_toronto)

map_toronto

Here is a the image I am getting

crime rate in toronto

Answer 1

In my origin post, I was getting an error when trying to create my map but I think I managed to get passed that. I am sure I am not selecting the right key_on feature but not sure why this won't display the right image. Please help! I got my file from here http://adamw523.com/toronto-geojson/

I am hoping to get something like this.

crime rate in san francisco

Here is what I am tried

df_crime=pd.DataFrame(df.Neighbourhood)
df_crime['premisetype']=pd.DataFrame(df.premisetype)
df_crime['offence']=pd.DataFrame(df.offence)
df_crime['MCI']=pd.DataFrame(df.MCI) #major crime indicators e.g. Theft
df_crime['occurrencedate']=pd.DataFrame(df.occurrencedate)
df_crime['reporteddate']=pd.DataFrame(df.reporteddate)
df_crime['occurrencehour'] = df_crime.occurrencedate.dt.strftime('%H:%M')
df_crime['reportedyear'] = df_crime.reporteddate.dt.strftime('%Y')
df_crime['reportedmonth'] = df_crime.reporteddate.dt.strftime('%m')
df_crime['reportedday'] = df_crime.reporteddate.dt.strftime('%d')
df_crime['reportedhour'] = df_crime.reporteddate.dt.strftime('%H:%M')
df_crime['Lat']=pd.DataFrame(df.Lat)
df_crime['Long']=pd.DataFrame(df.Long)
df_crime.head()

And the coordinates I am using are:

TORONTO_LAT = 43.70011 TORONTO_LONG = -79.4163

I also have this code to give me the counts

df_crime1=df_crime.groupby('Neighbourhood').size().reset_index(name="Count")

world_geo = r'simple.geojson' # geojson file
# create map of Toronto using latitude and longitude values
map_toronto = folium.Map(location=[TORONTO_LAT,TORONTO_LONG ], zoom_start=10)

folium.Choropleth(geo_data=world_geo,
                  data=df_crime1, 
                  columns=['Neighbourhood', 'Count'],
                  key_on='feature.properties.DAUID',
                  fill_color='YlOrRd',
                  fill_opacity=0.7,
                  line_opacity=0.2,
                  legend_name='Crime Rate in Toronto'
                  ).add_to(map_toronto)

map_toronto

Here is a the image I am getting

crime rate in toronto