Pandas and Matplotlib - fill_between() vs datetime64

Question

There is a Pandas DataFrame:

Int64Index: 300 entries, 5220 to 5519
Data columns (total 3 columns):
Date                 


        

Answer 1

I had a similar problem. I have a DataFrame that looks something like this:

date        upper     lower 
2018-10-10  0.999614  0.146746
2018-10-26  0.999783  0.333178
2019-01-02  0.961252  0.176736
2019-01-08  0.977487  0.371374
2019-01-09  0.923230  0.286423
2019-01-10  0.880961  0.294823
2019-01-11  0.846933  0.303679
2019-01-14  0.846933  0.303679
2019-01-15  0.800336  0.269864
2019-01-16  0.706114  0.238787

with dtypes:

date     datetime64[ns]
upper           float64
lower           float64

The following results in the error from the initial post

plt.fill_between(dplot.date, dplot.lower, dplot.upper, alpha=.2)

Interestingly,

plt.fill_between(dplot.date.values, dplot.lower, dplot.upper, alpha=.2)

works perfectly fine.