53 choropleth

Uncomment the following line to install leafmap if needed.

In [1]:

# !pip install leafmap

# !pip install leafmap

In [2]:

import leafmap

import leafmap

In [3]:

data = leafmap.examples.datasets.countries_geojson

data = leafmap.examples.datasets.countries_geojson

Available classification schemes:

• BoxPlot
• EqualInterval
• FisherJenks
• FisherJenksSampled
• HeadTailBreaks
• JenksCaspall
• JenksCaspallForced
• JenksCaspallSampled
• MaxP
• MaximumBreaks
• NaturalBreaks
• Quantiles
• Percentiles
• StdMean
• UserDefined

In [4]:

m = leafmap.Map()
m.add_data(
    data, column="POP_EST", scheme="Quantiles", cmap="Blues", legend_title="Population"
)
m

m = leafmap.Map() m.add_data( data, column="POP_EST", scheme="Quantiles", cmap="Blues", legend_title="Population" ) m

Out[4]:

In [5]:

m = leafmap.Map()
m.add_data(
    data,
    column="POP_EST",
    scheme="EqualInterval",
    cmap="Blues",
    legend_title="Population",
)
m

m = leafmap.Map() m.add_data( data, column="POP_EST", scheme="EqualInterval", cmap="Blues", legend_title="Population", ) m

Out[5]:

In [6]:

m = leafmap.Map()
m.add_data(
    data,
    column="POP_EST",
    scheme="FisherJenks",
    cmap="Blues",
    legend_title="Population",
)
m

m = leafmap.Map() m.add_data( data, column="POP_EST", scheme="FisherJenks", cmap="Blues", legend_title="Population", ) m

Out[6]:

In [7]:

m = leafmap.Map()
m.add_data(
    data,
    column="POP_EST",
    scheme="JenksCaspall",
    cmap="Blues",
    legend_title="Population",
)
m

m = leafmap.Map() m.add_data( data, column="POP_EST", scheme="JenksCaspall", cmap="Blues", legend_title="Population", ) m

Out[7]: