converting class 'tuple' in python to a pandas dataframe

Question

Am applying some method / property out of a custom lib in python mlfinlab .
When I apply this calculation ( here is the link ). Under get_ema_dollar_imbalance_bars , then am getting back an output with

<class 'tuple'> as a type of the object, then towards the end of the output space I get the below

 [4798 rows x 10 columns],
 Empty DataFrame
 Columns: []
 Index: [] , dtype=object)

what am trying to do is to convert it into a pandas dataframe.
I have tried different methods around including transforming it first to a NumPy array then I can get in to pandas df format, but it is still not working.

Any help/guidance is appreciated and welcomed on your part.
I have included some snapshots as well.

best regards

Answer 1

First option:

1. Convert your tuple to a list with:

    lst = list(yourtuple)

2. Convert to a dataframe:

    df = pd.DataFrame(lst) 

Second Option:

I can't see the formatting of your tuple, but assuming you need more than one column, and your tuple is structured in a way where it's ((col1,entry1,entry2),(col2,entry1,entry2)), you can do the following:

1. Create a dictionary:

    newdict = dict(yourtuple)

2. Convert to a dataframe:

    df = pd.DataFrame([newdict])