Note
Go to the end to download the full example code
Adding overlays
This example will create a map, add a track and some overlays that will display the steepness.
import folium
from branca.element import MacroElement
from jinja2 import Template
from gpxplotter import (
add_segment_to_map,
create_folium_map,
read_gpx_file,
)
line_options = {"weight": 8}
the_map = create_folium_map(tiles="kartverket_topo4")
for track in read_gpx_file("example3.gpx"):
for i, segment in enumerate(track["segments"]):
add_segment_to_map(the_map, segment, line_options=line_options)
steepness = folium.WmsTileLayer(
url="https://nve.geodataonline.no/arcgis/services/Bratthet/MapServer/WmsServer?",
layers="Bratthet_snoskred",
fmt="image/png",
opacity=0.7,
transparent=True,
name="Steepness",
)
steepness.add_to(the_map)
# Add some custom code to show a legend:
class Legend(MacroElement):
"""Just add a hard-coded legend template."""
_template = Template(
"""
{% macro header(this,kwargs) %}
<style>
.info {
padding: 6px 8px;
font: 14px/16px Arial, Helvetica, sans-serif;
background: white;
background: rgba(255,255,255,0.8);
box-shadow: 0 0 15px rgba(0,0,0,0.2);
border-radius: 5px;
}
.info h4 {
margin: 0 0 5px;
color: #777;
}
.legend {
line-height: 18px;
color: #555;
}
.legend i {
width: 18px;
height: 18px;
float: left;
margin-right: 8px;
opacity: 0.7;
}
</style>
{% endmacro %}
{% macro script(this,kwargs) %}
var legend = L.control({position: 'bottomright'});
legend.onAdd = function (map) {
var div = L.DomUtil.create('div', 'info legend'),
steep = [27, 30, 35, 40, 45, 50, 90];
colors = ['#13711d', '#fff93e', '#ffa228', '#ff4e11',
'#f50000', '#7c0000'];
labels = ['Degrees'];
for (var i = 0; i < steep.length - 1; i++) {
labels.push(
'<i style="background:' + colors[i] + '"></i> ' +
steep[i] + '–' + steep[i + 1]);
}
div.innerHTML += labels.join('<br>');
return div;
};
legend.addTo({{ this._parent.get_name() }});
{% endmacro %}
"""
)
the_map.add_child(Legend())
# Add layer control:
folium.LayerControl(sortLayers=True).add_to(the_map)
# To store the map as a HTML page:
# the_map.save('map_008.html')
# To display the map in a Jupyter notebook:
the_map
Total running time of the script: (0 minutes 1.361 seconds)