Create CSV file with the following content and name it "AAPL.csv". It contains stock information for few days. You can get more data on
Date,Open,High,Low,Close,Volume,Adj Close
2017-01-20,120.449997,120.449997,119.730003,120.00,29479900,120.00
2017-01-19,119.400002,120.089996,119.370003,119.779999,25295700,119.779999
2017-01-18,120.00,120.50,119.709999,119.989998,23644700,119.989998
2017-01-17,118.339996,120.239998,118.220001,120.00,34078600,120.00
2017-01-13,119.110001,119.620003,118.809998,119.040001,25938300,119.040001
2017-01-12,118.900002,119.300003,118.209999,119.25,27002400,119.25
2017-01-11,118.739998,119.93,118.599998,119.75,27418600,119.75
Now, lets get max number and mean of 'Volume' column.
import pandas as pd
def test_run():
df = pd.read_csv("data/AAPL.csv")
print df['Volume'].max()
print df['Volume'].mean()
if __name__ == "__main__":
test_run()
Here is the output.