Created
August 30, 2017 20:07
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Error traceback while running Rosie
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| python rosie.py run chamber_of_deputies ../data | |
| /Users/temporal/src/dsbr/serenata/rosie/rosie/chamber_of_deputies/adapter.py:25: DtypeWarning: Columns (10,17) have mixed types. Specify dtype option on import or set low_memory=False. | |
| self.update_datasets() | |
| Merging all datasets… | |
| Loading reimbursements-2009.xz… | |
| Loading reimbursements-2010.xz… | |
| Loading reimbursements-2011.xz… | |
| Loading reimbursements-2012.xz… | |
| Loading reimbursements-2013.xz… | |
| Loading reimbursements-2014.xz… | |
| /Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/reshape/concat.py:206: DtypeWarning: Columns (17) have mixed types. Specify dtype option on import or set low_memo | |
| ry=False. | |
| copy=copy) | |
| Loading reimbursements-2015.xz… | |
| Loading reimbursements-2016.xz… | |
| Loading reimbursements-2017.xz… | |
| Dropping rows without document_value or reimbursement_number… | |
| Grouping dataset by applicant_id, document_id and year… | |
| Gathering all reimbursement numbers together… | |
| Summing all net values together… | |
| Summing all reimbursement values together… | |
| Generating the new dataset… | |
| Casting changes to a new DataFrame… | |
| Writing it to file… | |
| Done. | |
| Downloading 2016-09-03-companies.xz: 100%|█████████████████████| 4.84M/4.84M [00:01<00:00, 2.98Mb/s] | |
| Traceback (most recent call last): | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 768, in _ensure_numeric | |
| x = float(x) | |
| ValueError: could not convert string to float: '77,99' | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 771, in _ensure_numeric | |
| x = complex(x) | |
| ValueError: complex() arg is a malformed string | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 119, in f | |
| result = alt(values, axis=axis, skipna=skipna, **kwds) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 312, in nanmean | |
| the_sum = _ensure_numeric(values.sum(axis, dtype=dtype_sum)) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 773, in _ensure_numeric | |
| raise TypeError('Could not convert %s to numeric' % str(x)) | |
| TypeError: Could not convert 77,99 to numeric | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 768, in _ensure_numeric | |
| x = float(x) | |
| ValueError: could not convert string to float: '77,99' | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 771, in _ensure_numeric | |
| x = complex(x) | |
| ValueError: complex() arg is a malformed string | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "rosie.py", line 60, in <module> | |
| command() | |
| File "rosie.py", line 34, in run | |
| klass.main(target_directory) | |
| File "/Users/temporal/src/dsbr/serenata/rosie/rosie/chamber_of_deputies/__init__.py", line 9, in main | |
| core() | |
| File "/Users/temporal/src/dsbr/serenata/rosie/rosie/core/__init__.py", line 39, in __call__ | |
| model = self.load_trained_model(classifier) | |
| File "/Users/temporal/src/dsbr/serenata/rosie/rosie/core/__init__.py", line 60, in load_trained_model | |
| model.fit(self.dataset) | |
| File "/Users/temporal/src/dsbr/serenata/rosie/rosie/chamber_of_deputies/classifiers/meal_price_outlier_classifier.py", line 39, in fit | |
| companies = _X.groupby('recipient_id').apply(self.__company_stats) \ | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/groupby.py", line 716, in apply | |
| return self._python_apply_general(f) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/groupby.py", line 720, in _python_apply_general | |
| self.axis) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/groupby.py", line 1802, in apply | |
| res = f(group) | |
| File "/Users/temporal/src/dsbr/serenata/rosie/rosie/chamber_of_deputies/classifiers/meal_price_outlier_classifier.py", line 93, in __company_stats | |
| stats = {'mean': np.mean(X['net_value']), | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 2906, in mean | |
| return mean(axis=axis, dtype=dtype, out=out, **kwargs) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/generic.py", line 6342, in stat_func | |
| numeric_only=numeric_only) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/series.py", line 2381, in _reduce | |
| return op(delegate, skipna=skipna, **kwds) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 62, in _f | |
| return f(*args, **kwargs) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 122, in f | |
| result = alt(values, axis=axis, skipna=skipna, **kwds) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 312, in nanmean | |
| the_sum = _ensure_numeric(values.sum(axis, dtype=dtype_sum)) | |
| File "/Users/temporal/anaconda3/envs/serenata_rosie/lib/python3.6/site-packages/pandas/core/nanops.py", line 773, in _ensure_numeric | |
| raise TypeError('Could not convert %s to numeric' % str(x)) | |
| TypeError: Could not convert 77,99 to numeric |
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