Plotting boolean data fails

[BSchilperoort]

Code example

import pandas as pd
df = pd.DataFrame({'data': [True, False, False]})
df['data'].plot()

Problem description

Plotting boolean data returns TypeError: Empty 'DataFrame': no numeric data to plot.
Matplotlib interprets boolean data as 0/1, which allows plotting.

Expected Output

A plot of the boolean data like matplotlib would make (interpreting True/False as 1/0).

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]
INSTALLED VERSIONS

commit: None
python: 3.6.4.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
LOCALE: None.None

pandas: 0.23.4
pytest: 3.3.2
pip: 9.0.1
setuptools: 38.4.0
Cython: 0.27.3
numpy: 1.14.2
scipy: 1.0.0
pyarrow: None
xarray: 0.10.9
IPython: 6.2.1
sphinx: 1.6.6
patsy: 0.5.0
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.4
feather: None
matplotlib: 2.1.2
openpyxl: 2.4.10
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml: 4.1.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.1
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

[gfyoung]

@BSchilperoort : Good catch! Investigation and PR are welcome!

cc @TomAugspurger

[BSchilperoort]

Added the simple fix in a PR: #23813