Pandas Dataframe - pandas

Question

import numpy as np
import pandas as pd
from pandas_datareader import data as wb
from yahoofinancials import YahooFinancials
sympol = [input()]
abc = YahooFinancials(sympol)
l=abc.get_financial_stmts('annual', 'cash')
df=pd.concat([pd.DataFrame(key) for key in l['cashflowStatementHistory']['FB']],axis=1,sort=True).reset_index().rename(columns={'index':'Time'})
Thank you it works but only with specific sympol. How to make it customised so that I can enter any symbol instead. What to write instead of 'FB'. I tried `[[sympol]] but it gives my an error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
7 l=abc.get_financial_stmts('annual', 'cash')
----> 8 df=pd.concat([pd.DataFrame(key) for key in l['cashflowStatementHistory'][[sympol]]],axis=1,sort=True).reset_index().rename(columns={'index':'Time'})
TypeError: unhashable type: 'list'
What do you think is the problem? How to fix it.
Thank you for help.

Answer 1

I think simpliest is use list comprehension with transpose by DataFrame.T of DataFrame and last use concat.
If need working later with TimeSeries, the best is also create DatetimeIndex:
df = pd.concat([pd.DataFrame(x).T for x in l['cashflowStatementHistory']['FB']], sort=True)
df.index = pd.to_datetime(df.index)