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Data limitation

Dear Friend.

I must admit. you have excellent effort.
I want to ask about this error

Processing in /home/msd/data/A/D/E
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-4-3560009ee4b6> in <module>
     21                     for key in h.keys():
     22                         series.append(h.get(key))
---> 23                     x = pd.concat(series, axis=1)[features]
     24                     dataframes.append(x)
     25         pd.concat(dataframes).to_hdf(outfile, 'data')

~/anaconda3/envs/py36/lib/python3.6/site-packages/pandas/core/reshape/concat.py in concat(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, sort, copy)
    226                        keys=keys, levels=levels, names=names,
    227                        verify_integrity=verify_integrity,
--> 228                        copy=copy, sort=sort)
    229     return op.get_result()
    230 

~/anaconda3/envs/py36/lib/python3.6/site-packages/pandas/core/reshape/concat.py in __init__(self, objs, axis, join, join_axes, keys, levels, names, ignore_index, verify_integrity, copy, sort)
    260 
    261         if len(objs) == 0:
--> 262             raise ValueError('No objects to concatenate')
    263 
    264         if keys is None:

ValueError: No objects to concatenate

It seems that with the subset of the dataset, the code is not testable? as you mentioned that the code you worked with your own featured data i.e., data repairing.

Please guide.

Greetings.