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Currently there are some features that are only available in mesa (eg. visualization). While we work on refactoring those, we could have a "fallback" to convert on-the-fly a mesa-frames object to a mesa object and perform the operation. Performance would take a significant hit but it would allow for an easier transition from mesa.
The text was updated successfully, but these errors were encountered:
The data to be fed to the Solara visualization is simply a list of list, or a 2D NumPy array. The relevant code is only <50 LOC. So it should take about a day to implement. It is a Matplotlib scatter plot.
The data to be fed to the Solara visualization is simply a list of list, or a 2D NumPy array. The relevant code is only <50 LOC. So it should take about a day to implement. It is a Matplotlib scatter plot.
I see, seems simple enough. I should look up a bit how solara works though.
Currently there are some features that are only available in mesa (eg. visualization). While we work on refactoring those, we could have a "fallback" to convert on-the-fly a mesa-frames object to a mesa object and perform the operation. Performance would take a significant hit but it would allow for an easier transition from mesa.
The text was updated successfully, but these errors were encountered: