You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
Cell In[5], line 14
11 path_hist_mean = output_dir / "Hist_mean" # set output directory for hist_mean
12 path_hist_mean.mkdir(parents=True, exist_ok=True)
---> 14 filelist_haz, hazards_list = set_multiple_rc_from_isimip(input_dir=input_haz_dir, output_dir=output_dir,
15 isimip_run='ISIMIP2b', return_data=True)
17 print("\nComputed and saved the following files: \n")
18 print(filelist_haz)
File c:\users\me\git\climada_petals\climada_petals\hazard\relative_cropyield.py:551, in set_multiple_rc_from_isimip(input_dir, output_dir, bbox, isimip_run, yearrange_his, yearrange_mean, return_data, save, combine_subcrops)
547 filename_list = list()
548 output_list = list()
550 (his_file_list, file_props, hist_mean_per_crop,
--> 551 scenario_list, _, combi_crop_list) = init_hazard_sets_isimip(filenames,
552 input_dir=input_dir,
553 bbox=bbox, isimip_run=isimip_run,
554 yearrange_his=yearrange_his,
555 combine_subcrops=combine_subcrops)
557 if (yearrange_mean is None) and (isimip_run == 'ISIMIP2b'):
558 yearrange_mean = YEARCHUNKS[file_props[his_file_list[0]]['scenario']]['yearrange_mean']
File c:\users\me\git\climada_petals\climada_petals\hazard\relative_cropyield.py:791, in init_hazard_sets_isimip(filenames, input_dir, bbox, isimip_run, yearrange_his, combine_subcrops)
785 # generate hazard using the first file to determine the size of the historic mean
786 # file structure: ag_model _ cl_model _ scenario _ soc _ co2 _
787 # yield-crop-irr _ fn_str_var _ startyear _ endyear . nc
788 #e.g. gepic_gfdl-esm2m_ewembi_historical_2005soc_co2_yield-whe-noirr_
789 # global_annual_1861_2005.nc
790 haz_dummy = RelativeCropyield()
--> 791 haz_dummy.set_from_isimip_netcdf(input_dir=input_dir, filename=his_file_list[0], bbox=bbox,
792 scenario=file_props[his_file_list[0]]['scenario'],
793 yearrange=(file_props[his_file_list[0]]['startyear'],
794 file_props[his_file_list[0]]['endyear']))
796 # initiate the historic mean for each combination of crop and irrigation type
797 # the idx keeps track of the row in which the hist_mean values are written per crop-irr to
798 # ensure that all files are assigned to the corresponding crop-irr combination
799 hist_mean_per_crop = dict()
IndexError: list index out of range
in the Initiate a relative yield hazard set from multiple input files: section and:
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[2], line 24
16 path_hist_mean = output_dir / 'Hist_mean' # set output directory for hist_mean
18 # # only required if hazard set has not yet been initiated above:
19 #---------------------------------------------------------------
20 # set_multiple_rc_from_isimip(input_dir=input_haz_dir, output_dir=output_dir)
21 # """compute historical mean yield for all runs available in input_haz directory"""
22 #---------------------------------------------------------------
---> 24 filelist_exp, exposures = init_full_exp_set_isimip(input_dir=input_exp_dir, hist_mean_dir=path_hist_mean, \
25 output_dir=output_dir, return_data=True)
26 """create exposures for all hist_mean files available in path_hist_mean directory"""
27 print("\nExposure files created:\n")
File c:\users\me\git\climada_petals\climada_petals\entity\exposures\crop_production.py:896, in init_full_exp_set_isimip(input_dir, filename, hist_mean_dir, output_dir, bbox, yearrange, unit, isimip_version, return_data)
893 if not unit:
894 unit = 't/y'
--> 896 filenames = [f.name for f in hist_mean_dir.iterdir()
897 if f.is_file() and not f.name.startswith('.')]
899 # generate output directory if it does not exist yet
900 target_dir = output_dir / 'Exposure'
File c:\users\me\git\climada_petals\climada_petals\entity\exposures\crop_production.py:896, in <listcomp>(.0)
893 if not unit:
894 unit = 't/y'
--> 896 filenames = [f.name for f in hist_mean_dir.iterdir()
897 if f.is_file() and not f.name.startswith('.')]
899 # generate output directory if it does not exist yet
900 target_dir = output_dir / 'Exposure'
File c:\Users\me\miniconda3\envs\env_climada\lib\pathlib.py:1160, in Path.iterdir(self)
1156 def iterdir(self):
1157 """Iterate over the files in this directory. Does not yield any
1158 result for the special paths '.' and '..'.
1159 """
-> 1160 for name in self._accessor.listdir(self):
1161 if name in {'.', '..'}:
1162 # Yielding a path object for these makes little sense
1163 continue
FileNotFoundError: [WinError 3] The system cannot find the path specified: 'c:\\Users\\me\\git\\climada_petals\\doc\\tutorial\\results\\ISIMIP_crop\\Output_tutorial\\Hist_mean'
in the Initiating an exposure set from several model runs: section.
I personally did not manage to run the notebook, as running the first cell already fails with a:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[1], [line 10](vscode-notebook-cell:?execution_count=1&line=10)
[8](vscode-notebook-cell:?execution_count=1&line=8) yearrange_hist_mean = (2001, 2005) # yearrange for reference historical mean (demo data only available from 2001 to 2005)
[9](vscode-notebook-cell:?execution_count=1&line=9) haz = RelativeCropyield()
---> [10](vscode-notebook-cell:?execution_count=1&line=10) haz.set_from_isimip_netcdf(input_dir=INPUT_DIR, yearrange=yearrange_haz, ag_model='lpjml',
[11](vscode-notebook-cell:?execution_count=1&line=11) cl_model='ipsl-cm5a-lr', scenario='historical', soc='2005soc',
[12](vscode-notebook-cell:?execution_count=1&line=12) co2='co2', crop='whe', irr='noirr', fn_str_var=FN_STR_DEMO)
[14](vscode-notebook-cell:?execution_count=1&line=14) print("\nBefore calling set_rel_yield_to_int(), intensity is '%s' with unit '%s'.\n" %(haz.intensity_def, haz.units))
[16](vscode-notebook-cell:?execution_count=1&line=16) hist_mean = haz.calc_mean(yearrange_hist_mean) # requires reference year range as input
File ~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:123, in RelativeCropyield.set_from_isimip_netcdf(self, *args, **kwargs)
[120](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:120) """This function is deprecated, use RelativeCropyield.from_isimip_netcdf instead."""
[121](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:121) LOGGER.warning("The use of RelativeCropyield.set_from_isimip_netcdf is deprecated."
[122](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:122) "Use RelativeCropyield.from_isimip_netcdf instead.")
--> [123](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:123) self.__dict__ = RelativeCropyield.from_isimip_netcdf(*args, **kwargs).__dict__
File ~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:250, in RelativeCropyield.from_isimip_netcdf(cls, input_dir, filename, bbox, yearrange, ag_model, cl_model, bias_corr, scenario, soc, co2, crop, irr, fn_str_var)
[247](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:247) haz.date = np.array(dt.str_to_date(
[248](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:248) [event_ + '-01-01' for event_ in haz.event_name]))
[249](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:249) haz.centroids.set_meta_to_lat_lon()
--> [250](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:250) haz.centroids.region_id = (
[251](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:251) coord.coord_on_land(haz.centroids.lat, haz.centroids.lon)).astype(dtype=int)
[252](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:252) haz.check()
[253](https://file+.vscode-resource.vscode-cdn.net/Users/lseverino/Documents/PhD/workspace/climada_petals/doc/tutorial/~/Documents/PhD/workspace/climada_petals/climada_petals/hazard/relative_cropyield.py:253) return haz
AttributeError: can't set attribute
Maybe someone who knows this module better could have a look to fix those issues..
The text was updated successfully, but these errors were encountered:
The notebook for the crop production risk tutorial is showing some errors:
in the
Initiate a relative yield hazard set from multiple input files:
section and:in the
Initiating an exposure set from several model runs:
section.I personally did not manage to run the notebook, as running the first cell already fails with a:
Maybe someone who knows this module better could have a look to fix those issues..
The text was updated successfully, but these errors were encountered: