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OSeMOSYS models are defined using node-edge representation (e.g., nodes = countries, edges = transmission), where nodes generally have geographical coordinates. Currently, users do not have an easy way to visualise their model in space.
Feature Description
We should add a plot() function to allow users to visualise their network on a map. For example, a user could do:
from tz.osemoesy import Model
# load model
model = Model.from_yaml('some_path')
# plot network
model.plot()
# solve model
model.solve()
# plot solved network, where generation mix could be shown by pie charts and flow between nodes could be illustrated by line sizing
model.plot()
This feature would be useful for spatially visualising a model. It would likely require dependency on matplotlib and potentially some mapping libraries (e.g., geopandas).
The text was updated successfully, but these errors were encountered:
Feature Type
Adding new functionality to tz-osemosys
Changing existing functionality in tz-osemosys
Removing existing functionality in tz-osemosys
Problem Description
OSeMOSYS models are defined using node-edge representation (e.g., nodes = countries, edges = transmission), where nodes generally have geographical coordinates. Currently, users do not have an easy way to visualise their model in space.
Feature Description
We should add a
plot()
function to allow users to visualise their network on a map. For example, a user could do:This feature would be useful for spatially visualising a model. It would likely require dependency on
matplotlib
and potentially some mapping libraries (e.g., geopandas).The text was updated successfully, but these errors were encountered: