CODEWITHSUNDEEP
pythonpython-3.xpandasfoliumchoropleth
Leon Poon
Leon Poon

Reputation: 21

Folium Chropleth Map renders grey shading instead of true colors of the thematic map

I've got a problem that my choropleth map is not rendering correctly.

I've got a bunch of ride-hailing data of the city of Chicago and I would like to create a choropleth map by census tract. I checked that the key_on feature is "geoid10" in the geojson file and ensured that the Pickup Census Tracts are all matching.

I also ensured that the data types of the key in the geojson file and the dataframe are the same (they are both objects)

Yet still, my choropleth map renders a black/grey tone instead of a properly toned map.

This is my code:

# Import packages
import pandas as pd
import geopandas as gpd
import folium

# Load in GeoJSON file, because works with Folium
geosjon_file = "Boundaries - Census Tracts - 2010.geojson"
chicago_census_tracts = gpd.read_file(geosjon_file)

# Pickup by census tract
pickup_by_censustract = pd.read_csv("pickup_demand_by_censustract_test.csv")

# Convert Pickup Census Tract to dtype: object, as key_on object in geosjon_file is also an dtype: object
pickup_by_censustract["Pickup Census Tract"].astype(str)

# Creating Chicago map with Folium
chicago_map = folium.Map(
    location=[41.881832, -87.623177],
    zoom_start=9)
#folium.TileLayer("CartoDB positron", name="Light Map", control=False).add_to(chicago_map)

# Overlaying Chicago map with bounderies of census tracts
folium.GeoJson(chicago_census_tracts).add_to(chicago_map)

# Creating Choropleth
folium.Choropleth(
    geo_data=chicago_census_tracts,
    name="choropleth",
    data=pickup_by_censustract,
    columns=["Pickup Census Tract", "Count"],
    key_on="feature.properties.geoid10",
    fill_color="YlGn",
    fill_opacity=0.7,
    line_opacity=0.2,
    legend_name="Ride-hailing demand"
).add_to(chicago_map)

folium.LayerControl().add_to(chicago_map)
chicago_map

This is the current output in my Jupyter Notebook:

enter image description here

Despite that I believe that I matched the key_on feature correctly with the dataframe, I still think that the problem still lies in properly matching the geojson file with the dataframe.

Please find the code, data, and geojson file here: https://github.com/Doncorleone1018/Chicago-choropleth

Upvotes: 2

Views: 1116

Answers (1)

sentence
sentence

Reputation: 8903

Simply change this line:

pickup_by_censustract["Pickup Census Tract"].astype(str)

into:

pickup_by_censustract["Pickup Census Tract"] = pickup_by_censustract["Pickup Census Tract"].astype(str)

and you get:

enter image description here

Upvotes: 2

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