[Feature Request] Plot T/F mask directly as ones and zeros

[halolord01]

Code Sample, a copy-pastable example if possible

x = pd.Series([False,True,True,False])
x.plot()
# Error thrown!
# Running version 0.24.2

Problem description

It would be nice to be able to directly use .plot() on true / false masks. Matplotlib currently supports plotting true / false masks with the below code (using the same x variable as above):

plt.plot(x.index, x.values)

Expected Output

Would be great if the code in the "code sample" section outputted the same as the matplotlib equivalent of ( plt.plot(x.index, x.values) ), where True translates to 1, and False to zero, and plots against the index values of the series.

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 2.7.13.final.0
python-bits: 64
OS: Windows
OS-release: 10
pandas: 0.24.2
numpy: 1.16.4
scipy: 1.2.2
pandas_gbq: None
pandas_datareader: None

[jschendel]

This is a dupe of #23719 and has been fixed/enabled by #27665 where the include_bool kwarg was added. This will be part of the upcoming 1.0 release.

In [1]: import pandas as pd; pd.__version__
Out[1]: '0.26.0.dev0+1327.g37dfcc1ac'

In [2]: x = pd.Series([False,True,True,False])

In [3]: x.plot(include_bool=True)
Out[3]: <matplotlib.axes._subplots.AxesSubplot at 0x123212518>