I am trying to get a price of a stock from google by using pandas-datareader.data
but when I try to call Amazon(amazons price right now is over 1,000) it gives me a value error. I assume it is because of the comma in the price. It automatically attempts to turn it into a float so I have no opportunity to use a .replace function.
ValueError: could not convert string to float: '1,001.30'
I seemingly cannot seem to find a workaround to this issue so any help would be very appreciated, thanks.
import pandas_datareader.data as web
def money(stock):
#df = web.DataReader(stock, "google", start=start, end=end)
df2 = web.get_quote_google(stock)