In this example we show the most basic usage of the HeatMapWithTime plugin.
We generate a random set of points with lat/lon coordinates to draw on the map, and then move these points slowly in a random direction to simulate a time dimension. The points are aranged into a list of sets of data to draw.
In [1]:
import folium
import folium.plugins as plugins
import numpy as np
np.random.seed(3141592)
initial_data = (
np.random.normal(size=(100, 2)) * np.array([[1, 1]]) +
np.array([[48, 5]])
)
move_data = np.random.normal(size=(100, 2)) * 0.01
data = [(initial_data + move_data * i).tolist() for i in range(100)]
weight = 1 # default value
for time_entry in data:
for row in time_entry:
row.append(weight)
In [2]:
m = folium.Map([48., 5.], tiles='stamentoner', zoom_start=6)
hm = plugins.HeatMapWithTime(data)
hm.add_to(m)
m
Out[2]:
Now we show that the time index can be specified, allowing a more meaningful representation of what the time steps mean. We also enable the 'auto_play' option and change the maximum opacity. See the docmentation for a full list of options that can be used.
In [3]:
from datetime import datetime, timedelta
time_index = [
(datetime.now() + k * timedelta(1)).strftime('%Y-%m-%d') for
k in range(len(data))
]
In [4]:
m = folium.Map([48., 5.], tiles='stamentoner', zoom_start=6)
hm = plugins.HeatMapWithTime(
data,
index=time_index,
auto_play=True,
max_opacity=0.3
)
hm.add_to(m)
m
Out[4]: