DataFrame indices can't map through dictionaries or series

[azevedoph-check24]

A DataFrame index has the map function, which expects a mapper. However, unlike mapping a Series, it only accepts callables, and won't work when mapping through dictionaries or series.

Code Sample:

df = pd.DataFrame({'col1': range(5)})
d = {0: 'zero', 1: 'one', 2: 'two', 3: 'three', 4: 'four'}
df.col1.map(d) # perfectly valid
df.index.map(d) # TypeError: 'dict' object is not callable
s = pd.Series(d)
df.col1.map(s) # perfectly valid
df.index.map(s) # TypeError: 'Series' object is not callable

Expected Output:

I would expect the same output for df.col1.map(s) and df.index.map(s), or at least that it returns an nparray with the mapped values, as it does when we do pass a callable, but not that it breaks like it does.

output of pd.show_versions():

INSTALLED VERSIONS

commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.16.0-67-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_DE.UTF-8

pandas: 0.18.0
nose: 1.3.7
pip: 8.1.1
setuptools: 20.6.6
Cython: 0.23.5
numpy: 1.11.0
scipy: 0.17.0
statsmodels: 0.6.1
xarray: None
IPython: 4.1.2
sphinx: 1.4
patsy: 0.4.1
dateutil: 2.5.2
pytz: 2016.3
blosc: None
bottleneck: None
tables: None
numexpr: 2.5.1
matplotlib: 1.5.1
openpyxl: 2.3.4
xlrd: 0.9.4
xlwt: None
xlsxwriter: None
lxml: 3.6.0
bs4: None
html5lib: 0.9999999
httplib2: 0.9.2
apiclient: None
sqlalchemy: 1.0.12
pymysql: None
psycopg2: 2.6.1 (dt dec pq3 ext lo64)
jinja2: 2.8
boto: 2.39.0

[jreback]

@sinhrks and I had this exact discussion very recently: #12532 (comment)

so yes, these should be unified, but are a bit non-trivial to do so. welcome to have pull-requests!

[sinhrks]

Yes, currently I think Index.map should be fixed prior to #12532. Will take a look.

[jreback]

xref #12766