Geopatra

[1]:

import random
import geopatra
import geopandas

[2]:

world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
cities = geopandas.read_file(geopandas.datasets.get_path('naturalearth_cities'))
cities['value'] = [int(random.randint(10, 1000)) for i in range(len(cities))]

[3]:

world.head()

[3]:
pop_est continent name iso_a3 gdp_md_est geometry
0 920938 Oceania Fiji FJI 8374.0 MULTIPOLYGON (((180.00000 -16.06713, 180.00000...
1 53950935 Africa Tanzania TZA 150600.0 POLYGON ((33.90371 -0.95000, 34.07262 -1.05982...
2 603253 Africa W. Sahara ESH 906.5 POLYGON ((-8.66559 27.65643, -8.66512 27.58948...
3 35623680 North America Canada CAN 1674000.0 MULTIPOLYGON (((-122.84000 49.00000, -122.9742...
4 326625791 North America United States of America USA 18560000.0 MULTIPOLYGON (((-122.84000 49.00000, -120.0000... 
[4]:

cities.head()

[4]:
name geometry value
0 Vatican City POINT (12.45339 41.90328) 934
1 San Marino POINT (12.44177 43.93610) 202
2 Vaduz POINT (9.51667 47.13372) 33
3 Luxembourg POINT (6.13000 49.61166) 466
4 Palikir POINT (158.14997 6.91664) 649

Interactive maps with folium

Map geodataframes with Folium

Supported Maps

  • Geojson plots (Plot the geometries in geodataframes)
  • Choropleth maps (Colors and Jazz)
  • Markercluster (Count, Sum, Average)
  • Heatmaps (Oooh 🔥)

Geojson maps

[5]:

cities.folium.plot()

[5]:
Make this Notebook Trusted to load map: File -> Trust Notebook
[6]:

# Directly interact with the function
m = geopatra.folium.geojson(cities, zoom=5)

Circle Maps

[7]:

cities.folium.circle(
    tooltip=["name"],
    radius=10,
    fill=True,
    fill_color='red',
    zoom=100
)

[7]:
Make this Notebook Trusted to load map: File -> Trust Notebook
[8]:

# Directly interact with the function
m = geopatra.folium.circle(cities, zoom=5)

Choropleth maps

[9]:

world.folium.choropleth(color_by= 'pop_est',
          tooltip=['name'],
          color= 'green',
          zoom= 1,
          style = {'color': 'black',
                    'weight': 1,
                    'dashArray': '10, 5',
                    'fillOpacity': 0.5,
                  })

[9]:
Make this Notebook Trusted to load map: File -> Trust Notebook
[10]:

# Directly interact with the function
m = geopatra.folium.choropleth(world, color_by= 'pop_est',)

Markercluster maps

[11]:

cities.folium.markercluster(zoom=1)

[11]:
Make this Notebook Trusted to load map: File -> Trust Notebook
[12]:

# Directly interact with the function
m = geopatra.folium.markercluster(cities, zoom=5)

Weighted Markercluster maps

TODO: add color change and tooltip

[13]:

cities.folium.markercluster(zoom=1, metric='sum', weight='value')

[13]:
Make this Notebook Trusted to load map: File -> Trust Notebook

Heat maps

[14]:

cities.folium.heatmap(style={'min_opacity': 0.3}, zoom=5)

[14]:
Make this Notebook Trusted to load map: File -> Trust Notebook
[15]:

# Directly interact with the function
m = geopatra.folium.heatmap(cities, zoom=5)

Interactive maps with kepler.gl

Build an interface for geodataframes to work natively with Kepler.gl https://docs.kepler.gl/docs/keplergl-jupyter

Supported Maps

  • Geojson plots & Choropleth

Geojson maps

[16]:

import warnings
from IPython.display import IFrame
warnings.filterwarnings('ignore')

[17]:

kmap1 = cities.kepler.plot()
kmap1.save_to_html(file_name='./_static/_maps/kepler_map1.html')

User Guide: https://github.com/keplergl/kepler.gl/blob/master/docs/keplergl-jupyter/user-guide.md
Map saved to ./_static/_maps/kepler_map1.html!

[18]:

IFrame('./_static/_maps/kepler_map1.html', width=900, height=500)

[18]:

Simple Polygons

[19]:

kmap2 = world.kepler.plot(name="world",
        tooltip=['continent'],
        color=[255,0,0],
        opacity=0.2,
        stroke_color=[0,0,0],
        stroke_thickness=1
)
kmap2.save_to_html(file_name='./_static/_maps/kepler_map2.html')

User Guide: https://github.com/keplergl/kepler.gl/blob/master/docs/keplergl-jupyter/user-guide.md
Map saved to ./_static/_maps/kepler_map2.html!

[20]:

IFrame('./_static/_maps/kepler_map2.html', width=900, height=500)

[20]:

Choropleth maps

[21]:

kmap_3 = world.kepler.plot(name = 'world',
        tooltip=['continent', 'pop_est'],
        stroke_color=[0,0,0],
        stroke_thickness=1,
        color_field = 'pop_est',
        color_scheme = 'Blues',
        color_scheme_steps = 5
)
kmap_3.save_to_html(file_name='./_static/_maps/kepler_map3.html')

User Guide: https://github.com/keplergl/kepler.gl/blob/master/docs/keplergl-jupyter/user-guide.md
Map saved to ./_static/_maps/kepler_map3.html!

[22]:

IFrame('./_static/_maps/kepler_map3.html', width=900, height=500)

[22]: