Regression: divmod(my_series, some_integer) no longer works since version 0.13. #8174
Description
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.