I am trying to get a DataFrame for each "ticker" in list l
by running it through the same function.
import yfinance as yf
import pandas as pd
import csv
def price(ticker):
company = yf.Ticker(ticker)
price = company.history(period='max')
price_df = pd.DataFrame(price)
price_df.to_csv('test2.csv', index=False)
l = ["AAPL", "KO"]
for ticker in l:
price(ticker)
How can I make a different DataFrame for each entry in l
while using the same function?
import yfinance as yf
import pandas as pd
import csv
def price(ticker):
company = yf.Ticker(ticker)
price = company.history(period='max')
price_df = pd.DataFrame(price)
return price_df
l = ["AAPL", "KO"]
for ticker in l:
df = price(ticker) # do something with each dataframe
I am not sure if I understood your question correctly, but it sounds just like returning the created dataframe.
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