martinvonk
commented
1 year ago should be fixed now by https://github.com/pastas/pastastore/commit/5e807a2cf3c4ed93472375a3a6b6a6082e23f3b9
instead of the gain (_A), I now check _d for steptrend and _a for lineartrend
KeyError: 'step0_A'
In function: pst.util.frontiers_checks(pstore, modelnames)
Same issue with linear-trend.
Please skip the check on step/linear trend (and possible others) with a warning or implement a check,
Kind regards, Marco
Some error-code:
a= pst.util.frontiers_checks(pstore, modelnames=["".join(code)+name], check1_rsq = True, check1_threshold = 0.7, check2_autocor = True, check3_tmem = True, check4_gain = True) Running model diagnostics: 0%| | 0/1 [00:00<?, ?it/s]C:\Users\mvanb\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pastastore\util.py:766: FutureWarning: In a future version, object-dtype columns with all-bool values will not be included in reductions with bool_only=True. Explicitly cast to bool dtype instead. C:\Users\mvanb\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pastastore\util.py:747: FutureWarning: In a future version, object-dtype columns with all-bool values will not be included in reductions with bool_only=True. Explicitly cast to bool dtype instead. C:\Users\mvanb\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pastastore\util.py:747: FutureWarning: In a future version, object-dtype columns with all-bool values will not be included in reductions with bool_only=True. Explicitly cast to bool dtype instead. C:\Users\mvanb\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pastastore\util.py:747: FutureWarning: In a future version, object-dtype columns with all-bool values will not be included in reductions with bool_only=True. Explicitly cast to bool dtype instead. C:\Users\mvanb\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pastastore\util.py:747: FutureWarning: In a future version, object-dtype columns with all-bool values will not be included in reductions with bool_only=True. Explicitly cast to bool dtype instead.
Traceback (most recent call last):
File ~\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pandas\core\indexes\base.py:3802 in get_loc return self._engine.get_loc(casted_key)
File pandas_libs\index.pyx:138 in pandas._libs.index.IndexEngine.get_loc
File pandas_libs\index.pyx:165 in pandas._libs.index.IndexEngine.get_loc
File pandas_libs\hashtable_class_helper.pxi:5745 in pandas._libs.hashtable.PyObjectHashTable.get_item
File pandas_libs\hashtable_class_helper.pxi:5753 in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'step0_A'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
Cell In[516], line 1 a= pst.util.frontiers_checks(pstore,
File ~\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pastastore\util.py:756 in frontiers_checks gain = ml.parameters.loc[f"{sm_name}_A", "optimal"]
File ~\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pandas\core\indexing.py:1066 in getitem return self.obj._get_value(*key, takeable=self._takeable)
File ~\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pandas\core\frame.py:3924 in _get_value row = self.index.get_loc(index)
File ~\anaconda3\envs\Evides_TRA_Bwal\lib\site-packages\pandas\core\indexes\base.py:3804 in get_loc raise KeyError(key) from err
KeyError: 'step0_A'