Pandas replace does not work with booleans

[Mark531]

Code Sample, a copy-pastable example if possible

import pandas as pd

df = pd.DataFrame({"col":[False, True]})
df.replace({"col": {False:0, True:1}})

Problem description

The previous code triggers the following error:
ValueError: Replacement not allowed with overlapping keys and values

Though, there is no overlapping and the replacement should be done properly.

Expected Output

 col

0 0
1 1

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.5.4.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 42 Stepping 7, GenuineIntel
byteorder: little
LC_ALL: None
LANG: fr
LOCALE: None.None

pandas: 0.22.0
pytest: 3.3.2
pip: 19.0.2
setuptools: 39.0.1
Cython: 0.27.3
numpy: 1.14.2
scipy: 1.0.0
pyarrow: None
xarray: None
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: 2.2.2
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

[WillAyd]

Thanks for the report. AFAICT this is only an issue when replacing a bool dtype with a value of 0 or 1. Investigation and PRs would certainly be welcome

[charlesdong1991]

PR is coming