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