I've run some code to download a data through API. API provides me data in dict form so I tried to convert it into dataframe. But getting an error.

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Python

def get_stock_data(stock, start_date, end_date):
    data = breeze.get_historical_data_v2 (interval="1day",
                            from_date= start_date,
                            to_date= end_date,
                            stock_code=stock,
                            exchange_code="NSE",
                            product_type="cash")
    df1 = pd.DataFrame(data['Success'])
    return data

What I have tried:

So the key error is:

KeyError
Traceback (most recent call last)
Cell In[40], line 1
----> 1 df = get_stock_data('TCS','2014-11-1','2023-10-1')

Cell In[39], line 10, in get_stock_data(stock, start_date, end_date)
      2 data = breeze.get_historical_data_v2 (interval="1day",
      3                         from_date= start_date,
      4                         to_date= end_date,
      5                         stock_code=stock,
      6                         exchange_code="NSE",
      7                         product_type="cash")
      8 #data_dict = response.json()
      9 #df1 = pd.DataFrame(data_dict)
---> 10 df1 = pd.DataFrame(data['Success'])
     11 #data = pd.DataFrame(data(index_cols=0,parse=True))
     12 ##df = pd.DataFrame.from_dict(data)
     15 return df

KeyError: 'Success'

Posted 24-Oct-23 20:02pm

Sejal Ranka

Updated 6-Nov-23 4:11am

Deeksha Shenoy

v3

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OriginalGriff · Answer 1 · 2023-10-24T20:24:00

A Key Error occurs when you try to access a column in the data, but it doesn't exist.

We can't fix that for you: we have no idea what the API returns.
So start with the debugger (pdb — The Python Debugger — Python 3.12.0 documentation[^]) and look at the actual data you are processing, work out what the column names are, and compare those with your code. At a guess, "Success" is the problem.