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.
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.