BUG: TypeError: bad operand type for unary -: 'FloatingArray'

[hbaniecki]

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• (optional) I have confirmed this bug exists on the master branch of pandas.

---

Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.

Code Sample, a copy-pastable example

import pandas as pd
x = pd.Series([1, 2, 3], dtype=pd.Float32Dtype())
-x

Problem description

Should it generate an error?

TypeError: bad operand type for unary -: 'FloatingArray'

Expected Output

-1 * x
# like -pd.Series([1, 2, 3])

Output of pd.show_versions()

INSTALLED VERSIONS

commit : 3e89b4c
python : 3.8.5.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19041
machine : AMD64
processor : Intel64 Family 6 Model 126 Stepping 5, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_Europe.1252

pandas : 1.2.0
numpy : 1.19.3
pytz : 2020.4
dateutil : 2.8.1
pip : 20.2.2
setuptools : 49.2.1
Cython : 0.29.14
pytest : 6.0.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.19.0
pandas_datareader: None
bs4 : 4.9.3
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.3.0
numexpr : 2.7.1
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : 1.4.1
sqlalchemy : 1.3.13
tables : None
tabulate : 0.8.7
xarray : None
xlrd : 1.2.0
xlwt : None
numba : 0.51.1

[simonjayhawkins]

cc @jorisvandenbossche

[hbaniecki]

Also: I use ctrl+f in the patch notes and search for convert_dtypes - there is nothing new. Yet, in API docs we see: Changed in version 1.2: Starting with pandas 1.2, this method also converts float columns to the nullable floating extension type.

[jorisvandenbossche]

@hbaniecki thanks for the report. This was fixed for Integer dtype (#36303), but should clearly also fix it for Float dtype

[mroldrobot]

Hi all,
I faced with a similar issue when trying to perform an elementary operation with Float data type array:

df = pd.DataFrame([1.1,2.1,3.1,4.1], columns=['x'])
df = df.convert_dtypes()
df['x1'] = -df.x

I got:

TypeError: bad operand type for unary -: 'FloatingArray'

for pandas v 1.2.1 and python v 3.7.9

[zitorelova]

I'll have a look at this one.

[zitorelova]

take