25 map title

Creating a population heat map with a colorbar and map title

Uncomment the following line to install leafmap if needed.

In [1]:

# !pip install leafmap

# !pip install leafmap

The notebook requires the folium plotting backend. ipyleaflet is not supported.

In [2]:

import leafmap.foliumap as leafmap

import leafmap.foliumap as leafmap

Creates an interactive folium map.

In [3]:

m = leafmap.Map()

m = leafmap.Map()

Specify the latitude, longitude, and value columns to create the heat map.

In [4]:

in_csv = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/world_cities.csv"

in_csv = "https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/world_cities.csv"

Specify the file path to the CSV. It can either be a file locally or on the Internet.

In [5]:

m.add_heatmap(
    in_csv,
    latitude="latitude",
    longitude="longitude",
    value="pop_max",
    name="Heat map",
    radius=20,
)

m.add_heatmap( in_csv, latitude="latitude", longitude="longitude", value="pop_max", name="Heat map", radius=20, )

Adds a colorbar to the map.

In [6]:

colors = ["blue", "lime", "red"]
vmin = 0
vmax = 10000

m.add_colorbar(colors=colors, vmin=vmin, vmax=vmax)

colors = ["blue", "lime", "red"] vmin = 0 vmax = 10000 m.add_colorbar(colors=colors, vmin=vmin, vmax=vmax)

Adds a title to the map.

In [7]:

m.add_title("World Population Heat Map", font_size="20px", align="center")

m.add_title("World Population Heat Map", font_size="20px", align="center")

In [8]:

m

m

Out[8]:

Save the map as an HTML.

In [9]:

m.to_html("heatmap.html")

m.to_html("heatmap.html")