Unexpected output using brackets vs. parents in dataframe.loc

[AbeHandler]

I have a dataframe, a_dataframe. I want to access the value at index=a, column=0. I can do this successfully with a_dataframe.loc["a", "0"]. However, a_dataframe.loc("a", "0") returns an object! Note: parens, no brackets.

I am new to Pandas, so this was very unexpected behavior in the API. I would think the API should throw an exception or issue a warning. This is a very, very subtle difference in syntax and I think it makes it very easy for new users to get confused.

Code Sample, a copy-pastable example if possible

`self.assertEqual(a_dataframe.loc["a", "0"], a_dataframe.loc("a", "0"))` 

Expected Output

true

output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 2.7.10.final.0
python-bits: 64
OS: Darwin
OS-release: 14.5.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.16.2
nose: 1.3.7
Cython: 0.23.2
numpy: 1.8.0rc1
scipy: 0.13.0b1
statsmodels: 0.6.1
IPython: 4.0.0
sphinx: 1.3.1
patsy: 0.4.1
dateutil: 2.2
pytz: 2013.7
bottleneck: None
tables: None
numexpr: 2.4.6
matplotlib: 1.3.1
openpyxl: 2.2.0-b1
xlrd: 0.9.4
xlwt: None
xlsxwriter: None
lxml: 3.5.0
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.8
pymysql: None
psycopg2: 2.6.1 (dt dec pq3 ext lo64)

[jreback]

This is a standard Python and pandas way of indexing, there is much documentation : http://pandas.pydata.org/pandas-docs/stable/indexing.htm

[nickeubank]

Is that something we can put an exception on? Or is that being used internally?

[jreback]

no

[max-sixty]

To back that up, here are some failures you get when you remove the __call__ method from _NDFrameIndexer, albeit being called from the tests:

======================================================================
ERROR: test_loc_arguments (pandas.tests.test_indexing.TestIndexing)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/workspace/pandas/pandas/tests/test_indexing.py", line 2474, in test_loc_arguments
    result = df.loc(axis=0)['A1':'A3', :, ['C1', 'C3']]
TypeError: '_LocIndexer' object is not callable

======================================================================
ERROR: test_per_axis_per_level_doc_examples (pandas.tests.test_indexing.TestIndexing)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/workspace/pandas/pandas/tests/test_indexing.py", line 2459, in test_per_axis_per_level_doc_examples
    df.loc(axis=0)[:, :, ['C1', 'C3']] = -10
TypeError: '_LocIndexer' object is not callable

======================================================================
ERROR: test_per_axis_per_level_setitem (pandas.tests.test_indexing.TestIndexing)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/workspace/pandas/pandas/tests/test_indexing.py", line 2538, in test_per_axis_per_level_setitem
    df.loc(axis=0)[:, :] = 100
TypeError: '_LocIndexer' object is not callable

[jorisvandenbossche]

The __call__ method takes *args, **kwargs. It is not possible to only remove the args (it seems they are not used)? This would already raise a error message in this case I think?

[nickeubank]

Or, if *args is never used by the internals, the presence of an *args could give an error suggesting user is confusing parentheses and square brackets.

[max-sixty]

It's not clear that the internals are using __call__ rather than the tests, if anyone wants to dig around further...

[jorisvandenbossche]

@MaximilianR The use-case you see in the tests that use call like df.loc(axis=0)[:, :, ['C1', 'C3']] is AFAIK perfectly allowed as user code (although not really well documented. EDIT: it is mentioned here: http://pandas.pydata.org/pandas-docs/stable/advanced.html#using-slicers)

[jreback]

yeh, this needs to stay like it is. We may need to pass more arguments

e.g.

df.loc(strict=False)[....] for strict-reindexing vs raising behavior and such

[max-sixty]

@jorisvandenbossche thanks

[jorisvandenbossche]

@jreback yes, the kwargs are certainly needed, but the args as well?

[jreback]

@jorisvandenbossche yes I suppose we could raise on non-zero len *args, might provide some kind of an error check. ok will reopen