Comments (2)
Perhaps Pastas checking if the time series has dtype float is too harsh? If we also allow ints in the validate series function this problem would also be solved? But I'm okay with implementing your proposed fix here too.
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Fixed by #109
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Related Issues (20)
- Drop official arctic and pystore support HOT 1
- Add Metran support to Pastastore HOT 1
- PastaStore and Connector names and logical defaults HOT 1
- stored name not showing up in stresses dataframe HOT 1
- Plot both oseries and stresses by default in data_availability plot HOT 3
- Add ArcticDBConnector HOT 1
- ArcticDB causes segfault in GH Actions tests HOT 2
- KeyError on step trend HOT 1
- Add apply function to pastastore HOT 1
- Use the DictConnector as default when createing a Pastastore HOT 1
- emptying models library should also delete oseries_models links HOT 1
- `check3_cutoff` not used in frontiers checks HOT 1
- kwargs are intepreted differently in adjust_text and annotate in add_labels
- Pastastore sets log-level of Pastas to Error HOT 3
- make get_tmin_tmax work for models library HOT 1
- PasConnector casts type to integer after reading time series containing floats HOT 1
- Use Ruff checks in CI HOT 1
- Remove Arctic and Pystore connectors HOT 1
- ArcticDB does not yet support Python 3.12
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