Put yfinance stock data into pandas dataframe Python

Question

I have a Pandas DataFrame that looks like this:

DataFrame:

Ticker	Date
AAPL	2022-11-22
MSFT	2022-11-22
META	2022-11-22

And I want to add a column that includes the stock price of each stock at that date like this:

Ticker	Date	Price
AAPL	2022-11-22	147,47
MSFT	2022-11-22	243,71
META	2022-11-22	108,50

In the ideal situation, I would append each price for the Ticker[i] inside the for loop, so I can easily make an Except: "not available" command for the stocks that are not found.

What I have done so far is creating the following for loop, which let me to get all stock prices. However, I cannot find a way to merge/append/concatenate it to the dataframe. I currently have 2 separate dataframes, without a common column which makes it hard to merge.

for i in DataFrame.index:
    ticker = DataFrame.index['Ticker'][i]
    start_date = DataFrame.index['Date'][i]
    data1 = pd.DataFrame(yf.download(ticker, start_date, start_date))

Answer 1

no loop is needed, not familiar with yf but nevertheless you can use apply:

df['price'] = df.apply(lambda x : yf.download(x.['ticker'], x.['start_date'], x.['start_date']))