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I am searching for a way to extrcat all results, that are not part of a timeseries.
similar to:
df = model.results.to_pandas(filter=lambda c, t, f: t == "var" and f == "value")
something like:
df = model.results.to_pandas(filter=lambda c, t, f, s: s=="None")
would be useful. Where s stands for snapshot and one can enter either None or the snapshot value. To eg acces the snapshot t5.
The text was updated successfully, but these errors were encountered:
I am searching for a way to extrcat all results, that are not part of a timeseries.
similar to:
df = model.results.to_pandas(filter=lambda c, t, f: t == "var" and f == "value")
something like:
df = model.results.to_pandas(filter=lambda c, t, f, s: s=="None")
would be useful. Where s stands for snapshot and one can enter either None or the snapshot value. To eg acces the snapshot t5.
The text was updated successfully, but these errors were encountered: