divide does not work for Series of timedelta64[ns]

[cancan101]

Using this Series:

In [38]: pd.Series([timedelta(1)])

Out[38]:
0   1 days, 00:00:00
dtype: timedelta64[ns]

This works:

In [36]: pd.Series([timedelta(1)])[0]/ np.timedelta64(1,'D')

Out[36]:
1.0

But this does not:

In [39]:

pd.Series([timedelta(1)])/ np.timedelta64(1,'D')

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-39-753422ac6b07> in <module>()
----> 1 pd.Series([timedelta(1)])/ np.timedelta64(1,'D')

/usr/lib64/python2.7/site-packages/pandas/core/series.py in wrapper(self, other, name)
    128                 elif is_timedelta_lhs and name not in ['__add__','__sub__']:
    129                     raise TypeError("can only operate on a timedeltas for "
--> 130                                     "addition and subtraction, but the operator [%s] was passed" % name)
    131 
    132                 dtype = 'timedelta64[ns]'

TypeError: can only operate on a timedeltas for addition and subtraction, but the operator [__div__] was passed

[jreback]

works on current master (fixed recently)

In [29]: pd.Series([timedelta(1)])[0]/ np.timedelta64(1,'D')
Out[29]: 1.0

In [30]: pd.Series([timedelta(1)])/ np.timedelta64(1,'D')
Out[30]: 
0    1
dtype: float64

[jreback]

#5995

[jreback]

Note this difference (on purpose), see here: http://pandas.pydata.org/pandas-docs/dev/timeseries.html#time-deltas-conversions

In [31]: pd.Series([timedelta(days=1,seconds=10)])/ np.timedelta64(1,'D')
Out[31]: 
0    1.000116
dtype: float64

In [32]: pd.Series([timedelta(days=1,seconds=10)]).astype('timedelta64[D]')
Out[32]: 
0    1
dtype: float64