Filtering dataframe based on another dataframe

Question

I have a data frame which has information on 1000 stocks (open, close, high, low, volume, company name, ticker symbol etc.) and I have another dataframe which just has one column of ticker symbols and this second dataframe has fewer rows than 1000 rows in the first dataframe. Now, I want only those rows in the first dataframe for which the ticker symbol is available in the second dataframe. How can this be done using pandas? In my case, I have small dataframes. But I would also like to know how this operation can be scaled up. So, please suggest efficient way as well.

Thanks

Answer 1

You can use .isin() to filter to the list of tickers available in df2.

df1_filtered = df1[df1['ticker'].isin(df2['ticker'].tolist())]