title: How to dynamically append multiple data frames together?
body: <p>I'm loading data from a CSV into a data frame and then looping through the rows to do web queries.  All my code is shown below.</p>
  <pre><code>import pandas as pd
  from bs4 import BeautifulSoup
  import requests
  import pandas as pd
  
  
  df = pd.read_csv('C:\\Users\\ryans\\OneDrive\\Desktop\\Briefcase\\NY Times Dates\\exchanges.csv')
  print(df)
  
  for index, row in df.iterrows():
      passin = 'https://markets.on.nytimes.com/research/markets/holidays/holidays.asp?display=market&amp;exchange='+row[&quot;Symbol&quot;]
      dfs = pd.read_html(passin)
      df = dfs[0]
      print(df)
  </code></pre>
  <p>My last step here is to append data frame #2 under data frame #1, and append data frame #3 under data frame #2, and so on and so on.  I Googled for a solution for this, and found several techniques to append #1 under #1, and that's it.</p>
  <p>I'm not sure how to append data frame #n to data frame #n-1.  How can I do that?  I'm guessing it's an increment process, but I can't get it working here.</p>