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Niamh

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  1. Thanks for getting back to me so quickly. I realised that part of the issue was that the label for elevation is by default 'site_elev' not 'elevation' but using that fact and your solutions worked to solve the elevation error so thank you! Unfortunately, I then ran into a similar issue with the variables A_combined, k_combined, and power_density, all of which the function requires but the wwc was missing. In solving these errors, I've found that the following code seems to work best to include all of these variables in the weibull wind climate with the correct labels: # Using the downscale function automatically calculates power_density and site_elev pwc_rsf = pw.wasp.downscale(gwc, topo_map, output_locs, conf, genwc_interp="nearest") # Relabelling site_elev as elevation pwc_rsf['elevation'] = pwc_rsf['site_elev'] pwc_rsf = pwc_rsf.drop_vars(["site_elev"]) # Adding A_combined and k_combined pwc_rsf["A_combined"], pwc_rsf["k_combined"] = wk.weibull_wind_climate.weibull_combined(pwc_rsf) wk.to_rsffile(pwc_rsf, 'test.rsf') However, I'm now encountering this error when I run the to_rsffile function: --------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[37], line 1 ----> 1 wk.to_rsffile(pwc_rsf, 'test.rsf') File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/windkit/weibull_wind_climate.py:408, in to_rsffile(wwc, rsffile, wrg_header) 398 def to_rsffile(wwc, rsffile, wrg_header=False): 399 """Write weibull wind climate dataset to .rsf file. 400 401 Parameters (...) 406 Path to .rsf file 407 """ --> 408 return _to_resource_file(wwc, rsffile, wrg_header=wrg_header) File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/windkit/_validate.py:71, in create_validator.<locals>.validator_wrapper.<locals>.validate(*args, **kwargs) 68 # Do bwc checks 69 validator(obj) # Raises ValueError if errors exist ---> 71 result = func(*args, **kwargs) 72 return result File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/windkit/weibull_wind_climate.py:370, in _to_resource_file(wwc, rsffile, wrg_header) 368 df = df.merge(wwc_cp["k_combined"].to_dataframe().reset_index()) 369 df = df.merge(wwc_cp["power_density"].to_dataframe().reset_index()) --> 370 df.loc[:, "nsec"] = wwc_cp.dims["sector"] 372 freq_sec = list(wwc_cp["wdfreq"].groupby("sector")) 373 A_sec = list(wwc_cp["A"].groupby("sector")) File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/pandas/core/indexing.py:818, in _LocationIndexer.__setitem__(self, key, value) 815 self._has_valid_setitem_indexer(key) 817 iloc = self if self.name == "iloc" else self.obj.iloc --> 818 iloc._setitem_with_indexer(indexer, value, self.name) File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/pandas/core/indexing.py:1718, in _iLocIndexer._setitem_with_indexer(self, indexer, value, name) 1716 if not len(self.obj): 1717 if not is_list_like_indexer(value): -> 1718 raise ValueError( 1719 "cannot set a frame with no " 1720 "defined index and a scalar" 1721 ) 1722 self.obj[key] = value 1723 return ValueError: cannot set a frame with no defined index and a scalar Do you know how I could fix this problem?
  2. Hi all, I am trying to use PyWAsP to export weibull wind climates as rsf and wrg files but have been having trouble with the windkit to_rsffile and to_wrgfile functions. After loading in a tab file, contour map, roughness map, and turbine locations, I calculated the generalised wind climate and the predicted wind climate at each turbine. I then attempted to output the results to an rsf using the code below but I keep getting the following error. site_effects = topo_map.get_site_effects(output_locs, nsecs=12) pwc_rsf = pw.wasp.get_wasp_down(gwc, site_effects, genwc_interp="nearest") wk.to_rsffile(pwc_rsf, 'test.rsf') KeyError Traceback (most recent call last) File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/xarray/core/dataset.py:1340, in Dataset._construct_dataarray(self, name) 1339 try: -> 1340 variable = self._variables[name] 1341 except KeyError: KeyError: 'elevation' During handling of the above exception, another exception occurred: KeyError Traceback (most recent call last) Cell In[104], line 1 ----> 1 wk.to_rsffile(pwc_rsf, 'test.rsf') File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/windkit/weibull_wind_climate.py:408, in to_rsffile(wwc, rsffile, wrg_header) 398 def to_rsffile(wwc, rsffile, wrg_header=False): 399 """Write weibull wind climate dataset to .rsf file. 400 401 Parameters (...) 406 Path to .rsf file 407 """ --> 408 return _to_resource_file(wwc, rsffile, wrg_header=wrg_header) File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/windkit/_validate.py:71, in create_validator.<locals>.validator_wrapper.<locals>.validate(*args, **kwargs) 68 # Do bwc checks 69 validator(obj) # Raises ValueError if errors exist ---> 71 result = func(*args, **kwargs) 72 return result File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/windkit/weibull_wind_climate.py:363, in _to_resource_file(wwc, rsffile, wrg_header) 360 wwc_cp["k"] = (wwc_cp["k"] * 100.0).astype(np.int16) 361 wwc_cp["wdfreq"] = (wwc_cp["wdfreq"] * 1000.0).astype(np.int16) --> 363 df = wwc_cp["elevation"].to_dataframe().reset_index() 364 new_columns = ["point", "Name", "west_east", "south_north", "elevation", "height"] 365 df = df.reindex(columns=new_columns) File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/xarray/core/dataset.py:1431, in Dataset.__getitem__(self, key) 1429 return self.isel(**key) 1430 if utils.hashable(key): -> 1431 return self._construct_dataarray(key) 1432 if utils.iterable_of_hashable(key): 1433 return self._copy_listed(key) File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/xarray/core/dataset.py:1342, in Dataset._construct_dataarray(self, name) 1340 variable = self._variables[name] 1341 except KeyError: -> 1342 _, name, variable = _get_virtual_variable(self._variables, name, self.dims) 1344 needed_dims = set(variable.dims) 1346 coords: dict[Hashable, Variable] = {} File ~/mambaforge/envs/pywasp_env/lib/python3.8/site-packages/xarray/core/dataset.py:178, in _get_virtual_variable(variables, key, dim_sizes) 176 split_key = key.split(".", 1) 177 if len(split_key) != 2: --> 178 raise KeyError(key) 180 ref_name, var_name = split_key 181 ref_var = variables[ref_name] KeyError: 'elevation' Does anyone know why I'm getting this error and/or how I could fix this issue? Am I missing some steps between downscaling to a wwc and outputting the rsf? Any help is much appreciated, thank you
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