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Issues with Data Preprocessing #51

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@nhatvu205

I tried to download the data from Google Drive and put it into correct dir for the generate_training_data.py to work properly. However, when I ran the code with this sentence:
python generate_training_data.py --output_dir=data/METR-LA --traffic_df_filename=data/metr-la.h5
It threw an error like this:
Traceback (most recent call last): File "E:\UIT\Nam-3\Ki-2\big-data-analytics\repo\generate_training_data.py", line 101, in <module> generate_train_val_test(args) File "E:\UIT\Nam-3\Ki-2\big-data-analytics\repo\generate_training_data.py", line 48, in generate_train_val_test df = pd.read_hdf(args.traffic_df_filename) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\UIT\Nam-3\Ki-2\big-data-analytics\repo\.venv\Lib\site-packages\pandas\io\pytables.py", line 463, in read_hdf return store.select( ^^^^^^^^^^^^^ File "E:\UIT\Nam-3\Ki-2\big-data-analytics\repo\.venv\Lib\site-packages\pandas\io\pytables.py", line 915, in select s = self._create_storer(group) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\UIT\Nam-3\Ki-2\big-data-analytics\repo\.venv\Lib\site-packages\pandas\io\pytables.py", line 1866, in _create_storer if "table" not in pt: ^^^^^^^^^^^^^^^^^ TypeError: a bytes-like object is required, not 'str'
Has anyone ever met this problem? Hope this can reach to any can help me. Many thanks!

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