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I am trying to run the bcsd example and the following code
out = bcsd_temp.predict(X_temp) + X_temp
gives the error as below
AttributeErrorTraceback (most recent call last) in 2 bcsd_temp = BcsdTemperature() 3 bcsd_temp.fit(X_temp, y_temp) ----> 4 out = bcsd_temp.predict(X_temp) + X_temp 5 plot_cdf(X=X_temp, y=y_temp, out=out) 6 out.plot()
~/manmeet/dev_lab/scikit-downscale-0.0.2/examples/skdownscale/pointwise_models/bcsd.py in predict(self, X) 184 # why isn't this working?? 185 # X_shift = X_rolling_mean.groupby(self.time_grouper) - self._x_climo --> 186 X_shift = self._remove_climatology(X_rolling_mean, self._x_climo) 187 188 # remove shift
~/manmeet/dev_lab/scikit-downscale-0.0.2/examples/skdownscale/pointwise_models/bcsd.py in _remove_climatology(self, obj, climatology) 203 def _remove_climatology(self, obj, climatology): 204 dfs = [] --> 205 for key, group in obj.groupby(self.time_grouper): 206 dfs.append(group - climatology.loc[key].values) 207
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/frame.py in groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, observed, dropna) 6523 squeeze=squeeze, 6524 observed=observed, -> 6525 dropna=dropna, 6526 ) 6527
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/groupby/groupby.py in init(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, observed, mutated, dropna) 531 observed=observed, 532 mutated=self.mutated, --> 533 dropna=self.dropna, 534 ) 535
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/groupby/grouper.py in get_grouper(obj, key, axis, level, sort, observed, mutated, validate, dropna) 812 dropna=dropna, 813 ) --> 814 if not isinstance(gpr, Grouping) 815 else gpr 816 )
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/groupby/grouper.py in init(self, index, grouper, obj, name, level, sort, observed, in_axis, dropna) 516 t = self.name or str(type(self.grouper)) 517 raise ValueError(f"Grouper for '{t}' not 1-dimensional") --> 518 self.grouper = self.index.map(self.grouper) 519 if not ( 520 hasattr(self.grouper, "len")
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/indexes/base.py in map(self, mapper, na_action) 4795 from pandas.core.indexes.multi import MultiIndex 4796 -> 4797 new_values = super()._map_values(mapper, na_action=na_action) 4798 4799 attributes = self._get_attributes_dict()
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/base.py in _map_values(self, mapper, na_action) 1158 1159 # mapper is a function -> 1160 new_values = map_f(values, mapper) 1161 1162 return new_values
pandas/_libs/lib.pyx in pandas._libs.lib.map_infer()
~/manmeet/dev_lab/scikit-downscale-0.0.2/examples/skdownscale/pointwise_models/bcsd.py in MONTH_GROUPER(x) 12 13 def MONTH_GROUPER(x): ---> 14 return x.month 15 16
AttributeError: 'tuple' object has no attribute 'month'
The text was updated successfully, but these errors were encountered:
We're experiencing the same issue as manmeet3591.
Sorry, something went wrong.
seems author already fix this problem try update using : pip install -U git+https://github.com/pangeo-data/scikit-downscale.git@93d2a47f3cfaca0484cc5d35e0b363ae199f613d then give it another try.
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I am trying to run the bcsd example and the following code
gives the error as below
AttributeErrorTraceback (most recent call last)
in
2 bcsd_temp = BcsdTemperature()
3 bcsd_temp.fit(X_temp, y_temp)
----> 4 out = bcsd_temp.predict(X_temp) + X_temp
5 plot_cdf(X=X_temp, y=y_temp, out=out)
6 out.plot()
~/manmeet/dev_lab/scikit-downscale-0.0.2/examples/skdownscale/pointwise_models/bcsd.py in predict(self, X)
184 # why isn't this working??
185 # X_shift = X_rolling_mean.groupby(self.time_grouper) - self._x_climo
--> 186 X_shift = self._remove_climatology(X_rolling_mean, self._x_climo)
187
188 # remove shift
~/manmeet/dev_lab/scikit-downscale-0.0.2/examples/skdownscale/pointwise_models/bcsd.py in _remove_climatology(self, obj, climatology)
203 def _remove_climatology(self, obj, climatology):
204 dfs = []
--> 205 for key, group in obj.groupby(self.time_grouper):
206 dfs.append(group - climatology.loc[key].values)
207
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/frame.py in groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, observed, dropna)
6523 squeeze=squeeze,
6524 observed=observed,
-> 6525 dropna=dropna,
6526 )
6527
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/groupby/groupby.py in init(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, observed, mutated, dropna)
531 observed=observed,
532 mutated=self.mutated,
--> 533 dropna=self.dropna,
534 )
535
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/groupby/grouper.py in get_grouper(obj, key, axis, level, sort, observed, mutated, validate, dropna)
812 dropna=dropna,
813 )
--> 814 if not isinstance(gpr, Grouping)
815 else gpr
816 )
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/groupby/grouper.py in init(self, index, grouper, obj, name, level, sort, observed, in_axis, dropna)
516 t = self.name or str(type(self.grouper))
517 raise ValueError(f"Grouper for '{t}' not 1-dimensional")
--> 518 self.grouper = self.index.map(self.grouper)
519 if not (
520 hasattr(self.grouper, "len")
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/indexes/base.py in map(self, mapper, na_action)
4795 from pandas.core.indexes.multi import MultiIndex
4796
-> 4797 new_values = super()._map_values(mapper, na_action=na_action)
4798
4799 attributes = self._get_attributes_dict()
~/manmeet/anaconda3/envs/causal/lib/python3.6/site-packages/pandas/core/base.py in _map_values(self, mapper, na_action)
1158
1159 # mapper is a function
-> 1160 new_values = map_f(values, mapper)
1161
1162 return new_values
pandas/_libs/lib.pyx in pandas._libs.lib.map_infer()
~/manmeet/dev_lab/scikit-downscale-0.0.2/examples/skdownscale/pointwise_models/bcsd.py in MONTH_GROUPER(x)
12
13 def MONTH_GROUPER(x):
---> 14 return x.month
15
16
AttributeError: 'tuple' object has no attribute 'month'
The text was updated successfully, but these errors were encountered: