I am trying to create a dynamic pandas dataframe based on the number of records read, where each record would be a column.

My logic has been to apply a cycle where “for i=1 in N”, where N is a read data (string format) to create the columns. This is not quite right for me, I have tried some alternatives but without good results. I only get the last record of the read.

I leave a proposal:

def funct_example(client):
    documents = [ v_document ]

    poller = client.begin_analyze_entities(documents)
    result = poller.result()

    docs = [doc for doc in result if not doc.is_error]
    i = 1
    
    for idx, doc in enumerate(docs):
        for entity in doc.entities:
            for i in doc.entities:
                d = {'col'+i : [format(entity.text)]}
                df = pd.DataFrame(data=d)
                display(df)

funct_example(client)

What alternative do you recommend?

Thanks you!