Pandas Ggplot theme does not work correctly

I have a dataframe like this:

seasonname Core-no season Fall/Winter Spring/Summer Summery Core True Summer   
date_utc                                                                       
2015-06-01       199.7825    111.1363      180.3559     166.6217     66.3297   
2015-06-02       201.9999    111.9228      158.2303     153.7611     54.7868   
2015-06-03       169.8468    108.4291      137.1497     118.4648     55.1780   
2015-06-04       164.2676    108.7186      160.1299     140.5675     46.6883   
2015-06-05       144.8806     71.8517      113.8878     111.8050     31.0500   
2015-06-06       122.1885     76.7588      111.0260      92.0495     26.9652   
2015-06-07        79.8287     32.7678       41.0086      54.5739     19.5470   
2015-06-08       193.2663    125.5355      172.7237     145.4507     47.1553   
2015-06-09       175.1136     89.9360      164.2935     144.5485     52.4961   
2015-06-10       167.5729     88.9686      125.5094     153.6020     46.3585 

When I apply the ggplot pandas theme, the graph loses its legend and axes and otherwise looks distorted. Without the theme, it displays fine.

df['2015-06':].plot(figsize=(12,10))

Problem: pd.options.display.mpl_style = 'default' creates a distorted graph.

Solution: plt.style.use('ggplot') works

You can find more information from the StackOverflow question here.

Comment From: TomAugspurger

Not sure what's going on, but we've deprecated mpl_style (as of 0.18.1 I believe) in favor of matplotlib's style.use. I don't think there's any sense in trying to fix it now.