Cannot convert string to Int64

[maresb]

pd.Series(['1']).astype(float).astype('Int64')  # succeeds
pd.Series(['1']).astype('Int64')  # fails with:
# TypeError: object cannot be converted to an IntegerDtype

Problem description

Unlike with the other numeric data types, It doesn't seem to be possible to parse a string as Int64. A decent workaround seems to be converting first to float, but that's rather awkward.

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None
python : 3.7.3.final.0
python-bits : 64
OS : Linux
OS-release : 4.15.0-1052-aws
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : en_US.UTF-8
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 0.25.1
numpy : 1.17.2
pytz : 2019.3
dateutil : 2.8.0
pip : 19.2.1
setuptools : 41.0.1
Cython : 0.29.13
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.4.1
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.10.1
IPython : 7.8.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : 4.4.1
matplotlib : 3.1.1
numexpr : None
odfpy : None
openpyxl : 3.0.0
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : 1.3.1
sqlalchemy : 1.3.8
tables : None
xarray : 0.14.0
xlrd : 1.2.0
xlwt : None
xlsxwriter : None

[mroeschke]

See #28599.

We recommend using to_numeric on object data first before astyping to Int64.