Bug when expanding dataframe

[RNogales94]

Trying to expand a dataframe: expanded_df = flat_table.normalize(df, expand_lists=True, expand_dicts=True)
I got a bad shape after expanded_df

My df structure is like this:

Intents	Clean_Description	Clean_Short_Description	Algorithm	System	Is_ata	Language	ShortDescription	Description
[]	v	v	Intent_similarity	ISA	FALSE	en	v	v
[]	d	c	Intent_similarity	ISA	FALSE	en	c	d
[{'Prediction': 'Intent2094', 'Similarity_score': 0.6559049986732967, 'Threshold': 0.5, 'Confident': True, 'Closest_email_ID': '10301533'}]	f	a	Email_similarity	APA	FALSE	en	a	f

But the output is only one row well formatted, but only one row, the one which has the list inside

What's wrong with my code?

[metinsenturk]

I am sorry for the late reply, @RNogales94. If it is still useful, I figured what's wrong with the data frame.

For lists or dicts to expand, they need to be deserialized for flat_table to work. You need to use literal_eval to convert df.Intents to python list. I made a notebook for it. You can check it out.

Hope this helps.