producing a scatter plot from multi-level dataframe [pandas]

Question

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:

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.

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!

Answer 1

I hope this will help:

a['date'] = pd.to_datetime(a['date'])
for name, group in a.groupby(['type','date']).count().groupby('type'):
    plt.plot(group.reset_index().set_index('date')['v1'], marker=o, linestyle='', label=name)
    plt.legend()

If you want normal plot instead of scatter, remove marker and linestyle arguments. My DF looks like this: