title: Pandas Dataframe Yahoo Finance Checking if Volume Meets Criteria
body: <p>The program below imports thousands of stock tickers from a .CSV file to a list and passes the tickers as a parameter to a function which pulls the 'Adjusted Close' column of that particular stock and sets the ticket as the column name. This was I have one dataframe containing the thousands of stocks and can obtain the adjusted close just by using df['EnterTickerNameHere']. The data from yahoo contains a 'Volume' field which I would like to only add a stock to my df if the volume is greater than 100,000. I am not sure how to do this while keeping my dataframe in the same format it is now. Thank you for reading!</p>
  
  <pre><code>import pandas as pd
  pd.core.common.is_list_like = pd.api.types.is_list_like
  from pandas_datareader import data as pdr
  import datetime
  import fix_yahoo_finance as yf
  yf.pdr_override()
  import time
  
  def getTickers():
      today = str(datetime.date.today())
      fourty_days_prior = str(datetime.date.today() - datetime.timedelta(days=40))
  
      # import the tickers from csv to a python list
      tickers = pd.read_csv('tickers.csv', sep='\n',dtype={'Tickers' : str})
      tickers = tickers.Tickers.tolist()
  
      data = pdr.get_data_yahoo(tickers, start= fourty_days_prior, end=today)['Adj Close']
  </code></pre>