Plotting two pandas data frame columns against each other I have a data frame like this:
timestamp                  vote_count
00:12:30                   350 
05:05:00                   50 
01:10:35                   200 
05:05:00                   175 
..............................
..............................
00:12:30                   900

Now I want to visualize the vote_count for the timestamps and do some analysis on that further. How can I plot the two columns against each other using matplotlib or seaborn?
Note: The timestamp is in 24hr format. Also, at any timestamp, there can be multiple vote counts.
You need to groupby to deal with multiple vote counts:


  df.groupby('timestamp').sum().plot(x='timestamp', y='vote_count')