Is there a more elegant way to concatenate data frames?

[db042190]

Hi, I'm picturing a script that will include in a loop everything after the setting of "today" and before the "print" prototyped in the code below. The loop will read symbols from a notepad file line by line. I would substitute the hardcoded Ticker settings you see below with the symbol just read from notepad. If the record read is the first, the download call where AAPL is now a placeholder would be called. Otherwise the placeholder for the WMT call would be executed.

The download method allows passing multiple tickers in a call but long term I think this will be more flexible. From what I can tell, if you don't pass multiple symbols in a call, you don't get a column for Ticker.

Can I make this more elegant? It seems awkward.

import yfinance as yf
import pandas as pd
from datetime import date

today = date.today()

Ticker="AAPL"
data1 = yf.download(Ticker, start="2023-05-01", end=today).round(2)
data1["Ticker"]=Ticker

Ticker="WMT"
data2 = yf.download(Ticker, start="2023-05-01", end=today).round(2)
data2["Ticker"]=Ticker

data1=[data1,data2]
data1 = pd.concat(data1)

print(data1)