felixnext / stock_trend_analysis Goto Github PK

Can you state which version of the python you used to run this environment?
With Python 3.9 while running 03-1_stocks_prediction.ipynb,

It's throwing up :
module 'base64' has no attribute 'decode string'
an issue related to python gsutil cp compilation

Also, it would be much appreciated if you can upload model weights you own for validation.
Thanks

KeyError Traceback (most recent call last)
~/stock_trend_analysis/ds/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2656 try:
-> 2657 return self._engine.get_loc(key)
2658 except KeyError:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

KeyError: 'symbol'

During handling of the above exception, another exception occurred:

KeyError Traceback (most recent call last)
in
19 return df_train, df_test
20
---> 21 df_train, df_test = train_test_data(10, 22, (-.5, .5), split=0.2, count=4000)
22 print(df_train.shape)
23 df_train.head()

in train_test_data(back, ahead, xlim, split, count, stocks, cache)
14
15 # generate sample data
---> 16 df_train = rcmd.learning.preprocess.create_dataset(sample_train, stocks, cache, back, ahead, xlim)
17 df_test = rcmd.learning.preprocess.create_dataset(sample_test, stocks, cache, back, ahead, xlim)
18

~/stock_trend_analysis/recommender/learning/preprocess.py in create_dataset(symbols, stocks, cache, back, ahead, xlim, num_cats, jump_size, smooth, sm, ti)
360 # load relevant statements
361 if sm is None: sm = FMPStatements()
--> 362 df_state = cache.load_statement_data(symbols, sm, limit=True)
363
364 # load relevant stocks

~/stock_trend_analysis/recommender/stocks/Cache.py in load_statement_data(self, symbols, statement, limit, cache, load_missing, load_data)
130 missing = symbols
131 else:
--> 132 missing = np.setdiff1d(symbols, df_state['symbol'].unique())
133
134 # load remaining data

~/stock_trend_analysis/ds/lib/python3.6/site-packages/pandas/core/frame.py in getitem(self, key)
2925 if self.columns.nlevels > 1:
2926 return self._getitem_multilevel(key)
-> 2927 indexer = self.columns.get_loc(key)
2928 if is_integer(indexer):
2929 indexer = [indexer]

~/stock_trend_analysis/ds/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2657 return self._engine.get_loc(key)
2658 except KeyError:
-> 2659 return self._engine.get_loc(self._maybe_cast_indexer(key))
2660 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
2661 if indexer.ndim > 1 or indexer.size > 1:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

KeyError: 'symbol'

Not sure why it's missing 'Symbol'; any suggestions?