Regression: divmod(my_series, some_integer) no longer works since version 0.13.

[mdickinson]

In Pandas version 0.12, you could apply the Python built-in divmod function to a Series and an integer:

Enthought Canopy Python 2.7.6 | 64-bit | (default, Jun  4 2014, 16:42:26) 
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> pd.__version__
'0.12.0'
>>> divmod(pd.Series(range(4)), 2)
(0    0
1    0
2    1
3    1
dtype: int64, 0    0
1    1
2    0
3    1
dtype: int64)
>>> 

With version >= 0.13, it appears that this usage is no longer supported:

Enthought Canopy Python 2.7.6 | 64-bit | (default, Jun  4 2014, 16:42:26) 
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> pd.__version__
'0.14.1'
>>> divmod(pd.Series(range(4)), 2)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: unsupported operand type(s) for divmod(): 'Series' and 'int'

Was this change intentional?

Some context: I was using this to read a climate datafile that had a 4-digit column holding combined month and day values. The original code looked something like: month, day = divmod(df['MODA'], 100), but broke after upgrading to version 0.14.

[jreback]

__divmod__ was not included when Series was refactored in 0.13.

You can simply do:

s // 2, s % 2 if you want to get the same results

If you would like to add the method, a PR would be accepted.

I don't think was included as no tests for this (and to be honest never seen it used; its more of a 'functional' way of working with objects)