Description
Code Sample, a copy-pastable example if possible
In [1]: import pandas as pd
In [2]: idx = pd.Index([2, 4, 6])
In [3]: idx.__inv__()
Out[3]: Int64Index([-2, -4, -6], dtype='int64')Problem description
idx.__inv__ does what idx.__neg__ does, and not do what its name suggests (that is, operator.inv). By the way, ~idx raises TypeError anyway, and idx.__invert__ does not exist, differently from what the Python docs suggest.
Notice that instead
In [4]: s = pd.Series([2, 4, 6])
In [5]: ~s
Out[5]:
0 -3
1 -5
2 -7
dtype: int64
In [6]: s.__invert__()
Out[6]:
0 -3
1 -5
2 -7
dtype: int64
which is correct (and Series.__inv__ does not exist).
Expected Output
Out[3]: Int64Index([-3, -5, -7], dtype='int64')
Given how wrong, undocumented and not exposed this is, I suggest to immediately remove Index.__inv__. Then we can later decide to introduce Index.__invert__ which does the right thing, and also enable the ~ operator.
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-6-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.UTF-8
LOCALE: it_IT.UTF-8
pandas: 0.24.0.dev0+460.geb0ac5437
pytest: 3.5.0
pip: 9.0.1
setuptools: 39.2.0
Cython: 0.28.4
numpy: 1.14.3
scipy: 0.19.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.5.6
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.0dev
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.2.2.post1634.dev0+ge8120cf6d
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.3.0
xlsxwriter: 0.9.6
lxml: 4.1.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.2.1
gcsfs: None