Description
Code Sample, a copy-pastable example if possible
>>> import pandas as pd
>>> df = pd.DataFrame(data=[["abc", 123, True]])
>>> print(df)
0 1 2
0 abc 123 True
>>> print(df.dtypes)
0 object
1 int64
2 bool
dtype: object
>>> df = df.convert_dtypes()
>>> print(df)
0 1 2
0 abc 123 True
>>> print(df.dtypes)
0 string
1 Int64
2 boolean
dtype: object
>>> df = df.convert_dtypes()
>>> print(df)
0 1 2
0 b'abc' 123 1
>>> print(df.dtypes)
0 object
1 Int64
2 Int64
dtype: objectProblem description
Applying convert_dtypes() to a column with dtype string converts it to a column dtype 'object' (and the individual values from str type to bytes type).
Applying convert_dtypes() to a column with dtype boolean converts it to a column dtype 'Int64' (and the individual values from bool type to int type).
Expected Output
convert_dtypes() should keep StringDtype columns as StringDtype and BooleanDtype columns as BooleanDtype.
Output of pd.show_versions()
pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.8.1.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_Malaysia.1252
pandas : 1.0.1
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 19.2.3
setuptools : 41.2.0
Cython : None
pytest : 5.3.5
hypothesis : None
sphinx : None
blosc : None