`fill_between()` doesn't work with DatetimeIndex

[oguzhanogreden]

Description

When DatetimeIndex is used for x axis in fill_between, the wrapper doesn't work.

Steps to reproduce

import proplot as plot
import pandas as pd

df = pd.DataFrame(1, index=pd.date_range('2020-09-01', '2020-09-02', freq='1H'), columns=['test'])
_, axes = plot.subplots()

axes.plot(df)

axes.fill_between(
    df.index,
    df['test'] + 1,
    df['test'] + 1.1,
)

# Raises `TypeError: '<' not supported between instances of 'Timestamp' and 'float'`

I expect this to be possible, it's quite a common use case for my use.

Equivalent steps in matplotlib

import matplotlib as mpl
import matplotlib.pyplot as plt

import pandas as pd

mpl.__version__ # 3.3.1

df = pd.DataFrame(1, index=pd.date_range('2020-09-01', '2020-09-02', freq='1H'), columns=['test'])

axes = plt.subplot()

axes.plot(df)

axes.fill_between(
    df.index,
    df['test'] + 1,
    df['test'] + 1.1,
)

This works.

Proplot version

'0.6.4.post28'

I realise this isn't the latest, but I see that this file hasn't changed since this version. Let me know if you think an update can solve the issue and I'll give it a try.

Thanks! I really appreciate the comfort of using proplot - can't wait for the stable version! :)

[lukelbd]

Thanks! This was a regression introduced by #166, which makes the bottom and sides of area plots "sticky", so there is no gap between the subplot edge and the shading bounds by default (similar to bar). Matplotlib's approach is kind of opaque, and I failed to account for non-numeric data when implementing it.

[lukelbd]

Closed by: 7a8e965

[oguzhanogreden]

Thanks a lot!