Description
Code Sample
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: pd.__version__
Out[3]: '0.19.2.post+ts5'
In [4]: a = np.array([-1,0,1]) # As expected
In [5]: +a
Out[5]: array([-1, 0, 1])
In [6]: s = pd.Series(data=a)
In [7]: +s # Unexpected
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-7-d1319861d847> in <module>()
----> 1 +s
TypeError: bad operand type for unary +: 'Series'
In [8]: d = pd.DataFrame(a)
In [9]: +d # Unexpected
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-9-e4fd8df22471> in <module>()
----> 1 +d
TypeError: bad operand type for unary +: 'DataFrame'
In [10]: -a
Out[10]: array([ 1, 0, -1])
In [11]: -s
Out[11]:
0 1
1 0
2 -1
dtype: int64
In [12]: -d
Out[12]:
0
0 1
1 0
2 -1
Problem description
Unary plus is well-defined on built-in types and Numpy ndarrays. It is not defined for Series or DataFrame. It's not ever necessary, but the asymmetry with the present unary minus is unexpected. It's also occasionally nice to use it to line up a positive expression against a negative expression. Likely adding methods implemented as an identity is sufficient.
Expected Output
In [7]: +s
Out[7]:
0 -1
1 0
2 1
dtype: int64
In [9]: +d
Out[9]:
0
0 -1
1 0
2 1
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.5.2.final.0
python-bits: 64
OS: Linux
OS-release: 4.1.35-pv-ts2
machine: x86_64
processor:
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.19.2.post+ts5
nose: 1.3.7
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.25.2
numpy: 1.11.3
scipy: 0.19.0
statsmodels: None
xarray: None
IPython: 5.1.0
sphinx: 1.5.1
patsy: None
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.5.1
openpyxl: 2.4.5
xlrd: 1.0.0
xlwt: None
xlsxwriter: None
lxml: None
bs4: 4.5.3
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.1.9
pymysql: None
psycopg2: None
jinja2: 2.9.4
boto: None
pandas_datareader: None