Description
Code Sample, a copy-pastable example if possible
code sample from DataFrame.select_dtypes docstring
>>> import pandas as pd
>>>
>>> pd.__version__
'0.26.0.dev0+767.gb3490cbd9'
>>>
>>> df = pd.DataFrame({"a": [1, 2] * 3, "b": [True, False] * 3, "c": [1.0, 2.0] * 3})
>>> df
a b c
0 1 True 1.0
1 2 False 2.0
2 1 True 1.0
3 2 False 2.0
4 1 True 1.0
5 2 False 2.0
>>>
>>> df.select_dtypes(exclude=["int"])
a b c
0 1 True 1.0
1 2 False 2.0
2 1 True 1.0
3 2 False 2.0
4 1 True 1.0
5 2 False 2.0
>>>Problem description
seen locally on master and 0.25.1
The docstring implies "int" is a valid dtype to exclude. Only "int64" produces the expected output shown in the docstring.
The same applies to the include argument.
Expected Output
>>> df.select_dtypes(exclude=["int64"])
b c
0 True 1.0
1 False 2.0
2 True 1.0
3 False 2.0
4 True 1.0
5 False 2.0
>>>Output of pd.show_versions()
INSTALLED VERSIONS
commit : b3490cb
python : 3.7.5.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : None.None
pandas : 0.26.0.dev0+767.gb3490cbd9
numpy : 1.17.2
pytz : 2019.3
dateutil : 2.8.0
pip : 19.3.1
setuptools : 41.6.0.post20191030
Cython : 0.29.13
pytest : 5.2.2
hypothesis : 4.36.2
sphinx : 2.2.1
blosc : None
feather : None
xlsxwriter : 1.2.2
lxml.etree : 4.4.1
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : 7.9.0
pandas_datareader: None
bs4 : 4.8.1
bottleneck : 1.2.1
fastparquet : 0.3.2
gcsfs : None
lxml.etree : 4.4.1
matplotlib : 3.1.1
numexpr : 2.7.0
odfpy : None
openpyxl : 3.0.0
pandas_gbq : None
pyarrow : 0.15.1
pytables : None
s3fs : 0.3.4
scipy : 1.3.1
sqlalchemy : 1.3.10
tables : 3.5.1
xarray : 0.13.0
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : 1.2.2