title: producing a scatter plot from multi-level dataframe [pandas]
body: <p>I have a big data frame, on which I've done a df.groupby(["event_type", "day"].count() and gotten the following multi-indexed df:</p>
  
  <p><a href="https://i.stack.imgur.com/LSepr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/LSepr.png" alt="counts df"></a></p>
  
  <p>My aim is to produce a scatter plot that shows the number of occurrences of an event per day, sorted by event_type. So a scatter plot where the x axis is "day" and the y axis would be "id" from the above table (which is a count). But I don't know how to go about making it. </p>
  
  <p>background: event_type is only 3 types. day is like 2 years of dates. "id" is id of things I'm tracking, but in the above .groupby() data frame, its actually the count of ids. I'd ideally like to get 3 separate lines plotted (one per event_type) of the id counts versus  day of the year. Thanks! </p>