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problem with initial conditions? #136

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Empanag opened this issue Oct 24, 2022 · 2 comments
Open

problem with initial conditions? #136

Empanag opened this issue Oct 24, 2022 · 2 comments
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@Empanag
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Empanag commented Oct 24, 2022

Describe the bug
I have this error when i m trying to run the model

Traceback (most recent call last):
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py", line 835, in build_code_df
    df_code = df_code0.loc[list_code, list_keys]
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1068, in __getitem__
    return self._getitem_tuple(key)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1248, in _getitem_tuple
    return self._getitem_lowerdim(tup)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 942, in _getitem_lowerdim
    return self._getitem_nested_tuple(tup)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1048, in _getitem_nested_tuple
    obj = getattr(obj, self.name)._getitem_axis(key, axis=axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1302, in _getitem_axis
    return self._getitem_iterable(key, axis=axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1240, in _getitem_iterable
    keyarr, indexer = self._get_listlike_indexer(key, axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1433, in _get_listlike_indexer
    keyarr, indexer = ax._get_indexer_strict(key, axis_name)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 6108, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 6168, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Int64Index([157, 157, 157, 157, 157, 157, 157, 157, 157, 157,\n            ...\n            157, 157, 157, 157, 157, 157, 157, 157, 157, 157],\n           dtype='int64', name='Code', length=8976)] are in the [index]"
2022-10-24 14:48:33,999 - SuPy - ERROR - missing code:
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Traceback (most recent call last):
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py", line 835, in build_code_df
    df_code = df_code0.loc[list_code, list_keys]
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1068, in __getitem__
    return self._getitem_tuple(key)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1248, in _getitem_tuple
    return self._getitem_lowerdim(tup)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 942, in _getitem_lowerdim
    return self._getitem_nested_tuple(tup)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1048, in _getitem_nested_tuple
    obj = getattr(obj, self.name)._getitem_axis(key, axis=axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1302, in _getitem_axis
    return self._getitem_iterable(key, axis=axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1240, in _getitem_iterable
    keyarr, indexer = self._get_listlike_indexer(key, axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1433, in _get_listlike_indexer
    keyarr, indexer = ax._get_indexer_strict(key, axis_name)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 6108, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 6168, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Int64Index([157, 157, 157, 157, 157, 157, 157, 157, 157, 157,\n            ...\n            157, 157, 157, 157, 157, 157, 157, 157, 157, 157],\n           dtype='int64', name='Code', length=8976)] are in the [index]"
2022-10-24 14:48:34,000 - SuPy - ERROR - missing key:
 ['W', 'a', 't', 'e', 'r', 'U', 's', 'e', 'P', 'r', 'o', 'f', 'M', 'a', 'n', 'u', 'W', 'D']
Traceback (most recent call last):
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py", line 835, in build_code_df
    df_code = df_code0.loc[list_code, list_keys]
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1068, in __getitem__
    return self._getitem_tuple(key)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1248, in _getitem_tuple
    return self._getitem_lowerdim(tup)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 942, in _getitem_lowerdim
    return self._getitem_nested_tuple(tup)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1048, in _getitem_nested_tuple
    obj = getattr(obj, self.name)._getitem_axis(key, axis=axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1302, in _getitem_axis
    return self._getitem_iterable(key, axis=axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1240, in _getitem_iterable
    keyarr, indexer = self._get_listlike_indexer(key, axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1433, in _get_listlike_indexer
    keyarr, indexer = ax._get_indexer_strict(key, axis_name)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 6108, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 6168, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Int64Index([157, 157, 157, 157, 157, 157, 157, 157, 157, 157,\n            ...\n            157, 157, 157, 157, 157, 157, 157, 157, 157, 157],\n           dtype='int64', name='Code', length=8976)] are in the [index]"
2022-10-24 14:48:34,001 - SuPy - ERROR - `df_code0` has been dumped into E:\notebook\df_code0.pkl for debugging!
Traceback (most recent call last):
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py", line 835, in build_code_df
    df_code = df_code0.loc[list_code, list_keys]
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1068, in __getitem__
    return self._getitem_tuple(key)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1248, in _getitem_tuple
    return self._getitem_lowerdim(tup)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 942, in _getitem_lowerdim
    return self._getitem_nested_tuple(tup)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1048, in _getitem_nested_tuple
    obj = getattr(obj, self.name)._getitem_axis(key, axis=axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1302, in _getitem_axis
    return self._getitem_iterable(key, axis=axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1240, in _getitem_iterable
    keyarr, indexer = self._get_listlike_indexer(key, axis)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py", line 1433, in _get_listlike_indexer
    keyarr, indexer = ax._get_indexer_strict(key, axis_name)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 6108, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "C:\Users\RSLab20Emm\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 6168, in _raise_if_missing
    raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Int64Index([157, 157, 157, 157, 157, 157, 157, 157, 157, 157,\n            ...\n            157, 157, 157, 157, 157, 157, 157, 157, 157, 157],\n           dtype='int64', name='Code', length=8976)] are in the [index]"
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
Cell In [2], line 54
     52 while start_date <= end_date:
     53     dataf(start_date,filefolder,dfmetdata,dtd)
---> 54     suews_out=suews(filefolder)
     55     tiffs(filefolder,suews_out)
     56     del suews_out

Cell In [1], line 451, in suews(filefolder)
    446 path_runcontrol = Path(filefolder) / 'RunControl.nml'
    447 #print(path_runcontrol.exists())
    448 
    449 ##### run the model SUEWS #####
--> 451 df_state_init = sp.init_supy(path_runcontrol)
    452 df_state_init.z=27
    454 #print(df_state_init.z)
    455 #print("pass")

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_supy_module.py:103, in init_supy(path_init, force_reload, check_input)
    100 else:
    101     if path_init_x.suffix == ".nml":
    102         # SUEWS `RunControl.nml`:
--> 103         df_state_init = load_InitialCond_grid_df(
    104             path_init_x, force_reload=force_reload
    105         )
    106     elif path_init_x.suffix == ".csv":
    107         # SuPy `df_state.csv`:
    108         df_state_init = load_df_state(path_init_x)

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:1605, in load_InitialCond_grid_df(path_runcontrol, force_reload)
   1603 # load base df of InitialCond
   1604 logger_supy.debug("loading base df_init...")
-> 1605 df_init = load_SUEWS_InitialCond_df(path_runcontrol)
   1607 # add Initial Condition variables from namelist file
   1608 logger_supy.debug("adding initial conditions...")

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:1321, in load_SUEWS_InitialCond_df(path_runcontrol)
   1319 path_input = path_runcontrol.parent / dict_ModConfig["fileinputpath"]
   1320 logger_supy.debug("loading df_gridSurfaceChar")
-> 1321 df_gridSurfaceChar = load_SUEWS_SurfaceChar_df(path_input)
   1322 # df_gridSurfaceChar.to_pickle("df_gridSurfaceChar.pkl")
   1323 # only use the first year of each grid as base for initial conditions
   1324 logger_supy.debug("grouping grids")

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:1092, in load_SUEWS_SurfaceChar_df(path_input)
   1090 @functools.lru_cache(maxsize=16)
   1091 def load_SUEWS_SurfaceChar_df(path_input):
-> 1092     df_gridSurfaceChar_exp = gen_df_gridSurfaceChar_exp(path_input)
   1093     dict_var_ndim = {
   1094         "ahprof_24hr": (24, 2),
   1095         "humactivity_24hr": (24, 2),
   (...)
   1104         "wuprofm_24hr": (24, 2),
   1105     }
   1106     # df_gridSurfaceChar_x=df_gridSurfaceChar_exp.copy()

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:1076, in gen_df_gridSurfaceChar_exp(path_input)
   1074 @functools.lru_cache(maxsize=16)
   1075 def gen_df_gridSurfaceChar_exp(path_input):
-> 1076     df_siteselect_exp = gen_df_siteselect_exp(path_input)
   1077     dict_var_tuple = exp_dict_full(dict_var2SiteSelect)
   1078     df_gridSurfaceChar_exp = pd.concat(
   1079         {
   1080             k: df_siteselect_exp.loc[:, flatten_list(dict_var_tuple[k])]
   (...)
   1083         axis=1,
   1084     )

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:950, in gen_df_siteselect_exp(path_input)
    947 @functools.lru_cache(maxsize=16)
    948 def gen_df_siteselect_exp(path_input):
    949     # df with all code-references values
--> 950     df_all_code = gen_all_code_df(path_input)
    952     # retrieve all `Code`-relaed names
    953     dict_libs = load_SUEWS_Libs(path_input)

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:882, in gen_all_code_df(path_input)
    874 dict_code_var = {
    875     code: gather_code_set(code, dict_var2SiteSelect)
    876     for code in list_code
    877     if len(gather_code_set(code, dict_var2SiteSelect)) > 0
    878 }
    880 # stage one expansion
    881 df_all_code = pd.concat(
--> 882     [build_code_df(code, path_input, df_siteselect) for code in dict_code_var],
    883     axis=1,
    884 )
    886 return df_all_code

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:882, in <listcomp>(.0)
    874 dict_code_var = {
    875     code: gather_code_set(code, dict_var2SiteSelect)
    876     for code in list_code
    877     if len(gather_code_set(code, dict_var2SiteSelect)) > 0
    878 }
    880 # stage one expansion
    881 df_all_code = pd.concat(
--> 882     [build_code_df(code, path_input, df_siteselect) for code in dict_code_var],
    883     axis=1,
    884 )
    886 return df_all_code

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:852, in build_code_df(code, path_input, df_base)
    847     df_code0.to_pickle(path_dump)
    848     logger_supy.exception(
    849         f"`df_code0` has been dumped into {path_dump.resolve()} for debugging!"
    850     )
--> 852     raise e
    854 df_code.index = df_base.index
    855 # recover outmost level code if profile values are extracted

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\supy\_load.py:835, in build_code_df(code, path_input, df_base)
    832 list_code = df_base[code_index].astype(int).values
    834 try:
--> 835     df_code = df_code0.loc[list_code, list_keys]
    836 except Exception as e:
    837     logger_supy.exception(f"Entries missing from {lib_code}")

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py:1068, in _LocationIndexer.__getitem__(self, key)
   1066     if self._is_scalar_access(key):
   1067         return self.obj._get_value(*key, takeable=self._takeable)
-> 1068     return self._getitem_tuple(key)
   1069 else:
   1070     # we by definition only have the 0th axis
   1071     axis = self.axis or 0

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py:1248, in _LocIndexer._getitem_tuple(self, tup)
   1246 with suppress(IndexingError):
   1247     tup = self._expand_ellipsis(tup)
-> 1248     return self._getitem_lowerdim(tup)
   1250 # no multi-index, so validate all of the indexers
   1251 tup = self._validate_tuple_indexer(tup)

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py:942, in _LocationIndexer._getitem_lowerdim(self, tup)
    940 # we may have a nested tuples indexer here
    941 if self._is_nested_tuple_indexer(tup):
--> 942     return self._getitem_nested_tuple(tup)
    944 # we maybe be using a tuple to represent multiple dimensions here
    945 ax0 = self.obj._get_axis(0)

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py:1048, in _LocationIndexer._getitem_nested_tuple(self, tup)
   1045     axis -= 1
   1046     continue
-> 1048 obj = getattr(obj, self.name)._getitem_axis(key, axis=axis)
   1049 axis -= 1
   1051 # if we have a scalar, we are done

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py:1302, in _LocIndexer._getitem_axis(self, key, axis)
   1299     if hasattr(key, "ndim") and key.ndim > 1:
   1300         raise ValueError("Cannot index with multidimensional key")
-> 1302     return self._getitem_iterable(key, axis=axis)
   1304 # nested tuple slicing
   1305 if is_nested_tuple(key, labels):

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py:1240, in _LocIndexer._getitem_iterable(self, key, axis)
   1237 self._validate_key(key, axis)
   1239 # A collection of keys
-> 1240 keyarr, indexer = self._get_listlike_indexer(key, axis)
   1241 return self.obj._reindex_with_indexers(
   1242     {axis: [keyarr, indexer]}, copy=True, allow_dups=True
   1243 )

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexing.py:1433, in _LocIndexer._get_listlike_indexer(self, key, axis)
   1430 ax = self.obj._get_axis(axis)
   1431 axis_name = self.obj._get_axis_name(axis)
-> 1433 keyarr, indexer = ax._get_indexer_strict(key, axis_name)
   1435 return keyarr, indexer

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py:6108, in Index._get_indexer_strict(self, key, axis_name)
   6105 else:
   6106     keyarr, indexer, new_indexer = self._reindex_non_unique(keyarr)
-> 6108 self._raise_if_missing(keyarr, indexer, axis_name)
   6110 keyarr = self.take(indexer)
   6111 if isinstance(key, Index):
   6112     # GH 42790 - Preserve name from an Index

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py:6168, in Index._raise_if_missing(self, key, indexer, axis_name)
   6166     if use_interval_msg:
   6167         key = list(key)
-> 6168     raise KeyError(f"None of [{key}] are in the [{axis_name}]")
   6170 not_found = list(ensure_index(key)[missing_mask.nonzero()[0]].unique())
   6171 raise KeyError(f"{not_found} not in index")

KeyError: "None of [Int64Index([157, 157, 157, 157, 157, 157, 157, 157, 157, 157,\n            ...\n            157, 157, 157, 157, 157, 157, 157, 157, 157, 157],\n           dtype='int64', name='Code', length=8976)] are in the [index]"

To Reproduce
Attach your input files that can reproduce the bug.
7d_irr-6h_25_init.zip

also the code is inside

Version and platform (please complete the following information):

  • SUEWS version: supy v 2022.4.7
  • OS: w11
@sunt05
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sunt05 commented Oct 25, 2022

Hello @Empanag, it's not easy for me to reproduce your error even though they are attached - because:

  • you are using an older version of supy that cannot be running on my dev machine now;
  • your code involves your local settings (e.g. absolute paths, etc.).

However, after a quick look at your input files, it seems your SUEWS_profiles.txt is corrupted - many leading spaces are found in multiple rows, which could confuse supy/pandas and thus possibly led to errors.

BTW, please provide a minimal working example next time - a case with ~9k grids is not easy to get the job started - thanks!

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This is a stale issue that will be automatically closed if no action received in 7 days

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@sunt05 @Empanag