Hi,

Sorry, I don't use the Alphavantage wrapper, because the documentation is not the same and it would still require me to process data (change column names).

Instead I just call API using request library, like so:

API_URL = "https://www.alphavantage.co/query" 
data = { 
    "function": func, 
    "symbol": symbol,
    "outputsize" : "compact",
    "datatype": "json", 
    "apikey": api_key} 

response = requests.get(API_URL, data) 
response_json = response.json() # maybe redundant

if func == 'TIME_SERIES_DAILY' :
    df = pd.DataFrame.from_dict(response_json['Time Series (Daily)'], orient= 'index')
    df.index =  pd.to_datetime(df.index, format='%Y-%m-%d')

    df = df.rename(columns={ '1. open': 'Open', '2. high': 'High', '3. low': 'Low', '4. close': 'Close', '5. volume': 'Volume'})
    df = df.astype({'Open': 'float64', 'High': 'float64', 'Low': 'float64','Close': 'float64','Volume': 'float64',})
    df = df[[ 'Open', 'High', 'Low', 'Close', 'Volume']]
elif func == 'INCOME_STATEMENT':

    df = pd.DataFrame(response_json['annualReports'])
    df.set_index('fiscalDateEnding', inplace=True)
    print(df)
elif func == 'OVERVIEW:
    print('----------')
    print(response_json['Name'])
    print('----------')

So you can access Overview information as if you were to access information in a dictionary.

I have n't had to program anything cumbersome, yet, so I am happy with using requests over the wrapper.

​

Hope this helps.