Comments (1)
JBGreisman
commented on June 27, 2024
Although the example given uses rs.DataSeries, this is really an issue with the call signature for rs.DataSet.reset_index() (this can be seen in the TypeError message in the provided example). When rs.DataSeries.reset_index() is called without drop=True, it automatically converts to a rs.DataSet, leading to this issue.
There were changes to the API of reset_index() in pandas >1.5, so we will need to update our codebase to be compatible with the new call signatures.
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Related Issues (20)
- Add `sample_rate` or `resolution_cutoff` options for `to_reciprocalgrid` HOT 5
- rs.DataSet.assign_resolution_bins ought to return bin edges HOT 1
- Cannot unstack_anomalous with other columns in index
- groupby apply drops cell and spacegroup HOT 2
- `stack_anomalous` inside `groupby` breaks `as_index=False` HOT 1
- Unstack anomalous taking into account Careless repeats HOT 10
- rs.utils.asu.in_asu() does not use the 'anomalous ASU' for stacked anomalous data. HOT 1
- function for cif file IO and possible support for multi-dataset files HOT 3
- `hkl_to_asu` does not annotate M/ISYM field correctly HOT 2
- support for read_precognition() for hkl without anomalous columns HOT 6
- unstack_anomalous makes data that phenix cannot interpret HOT 3
- API reference website display
- Return keys of dictionary in crystfel.py HOT 6
- add_rfree() does not consider Friedel mates HOT 2
- Used pandas.core.ops attribute does not appear to exist HOT 4
- A `rs.cifdump` utility? HOT 1
- No documentation of CrystFEL columns HOT 1
- mean_intensity_by_miller_index should use a grid HOT 1
- write_mtz SettingWithCopyWarning HOT 2
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