In [1]:

import folium
import pandas as pd

In [2]:

# the geojson data file
SA_geo = '../data/SA_regions.json' 

# initialize the map at (23, 45) which is Saudi Arabia
SA_map = folium.Map(location=[23,45], zoom_start=5)

In [3]:

# read the data we want to visualize (obtained from data.gov.sa)
data = pd.read_csv('./goats.csv')
data.head()

Out[3]:

	Region	2003	2002	2001
0	Riyadh	366769.0	422882.0	392459.0
1	Makkah	285647.0	246865.0	253335.0
2	Madinah	267826.0	239032.0	205698.0
3	Qassim	165556.0	169599.0	118732.0
4	Eastern Region	83441.0	84432.0	53778.0

In [5]:

bins = list(data['2001'].quantile([0, 0.25, 0.5, 0.75, 1]))

choropleth = folium.Choropleth(
    geo_data=SA_geo,
    name='choropleth',
    data=data,
    columns=['Region', '2001'],
    key_on='feature.properties.name',
    fill_color='YlGn',
    fill_opacity=0.7,
    line_opacity=0.3, 
    legend_name='Estimated Number of Goats in 2001',
    bins=bins,
    reset=True
).add_to(SA_map)

style_function = "font-size: 15px; font-weight: bold"
choropleth.geojson.add_child(
    folium.features.GeoJsonTooltip(['name'], style=style_function, labels=False))

# create a layer control
folium.LayerControl().add_to(SA_map)

SA_map

Out[5]:

In [6]:

SA_map.save('SA_regions_map.html')

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