Observed since 20 Oct, 23:34 UTC
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visualizing large population models
This module provides a Python API that works seamlessly with AgentTorch to visualize a simulation using the trajectory of its state.
The various supported types of visualizations are described below. To request/add a new visualization, please open a pull request or an issue.
This visualization renders a 3-D plot of the data given the state trajectory of a simulation, and the path of the property to render.
It generates an HTML file that contains code to render the plot using Cesium Ion, and the GeoJSON file of data provided to the plot.
An example of its usage is as follows:
from agent_torch.visualize import GeoPlot
# create a simulation
# ...
# create a visualizer
geoplot = GeoPlot(config, cesium_token)
# visualize in the runner-loop
for i in range(0, num_episodes):
runner.step(num_steps_per_episode)
geoplot.visualize(
name = f"consumer-money-spent-{i}",
state_trajectory = runner.state_trajectory,
entity_position = "consumers/coordinates",
entity_property = "consumers/money_spent",
)
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.0 | 17 May 2025 | 2 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 23:34 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:b12f0cd857eb2613dcbd447da8d01542873f7065cf36b9e408c23bce8498d7ab