This hits a path in Series.__init__ which I think needs some better inference
https://github.com/pydata/pandas/blob/master/pandas/core/series.py#L178
In [1]: d = {numpy.datetime64('2015-01-07T02:00:00.000000000+0200'): 42544017.198965244,
...: numpy.datetime64('2015-01-08T02:00:00.000000000+0200'): 40512335.181958228,
...: numpy.datetime64('2015-01-09T02:00:00.000000000+0200'): 39712952.781494237,
...: numpy.datetime64('2015-01-12T02:00:00.000000000+0200'): 39002721.453793451}
In [2]: Series(d)
Out[2]:
2015-01-07 NaN
2015-01-08 NaN
2015-01-09 NaN
2015-01-12 NaN
dtype: float64
In [3]: Series(d.values(),d.keys())
Out[3]:
2015-01-07 42544017.198965
2015-01-08 40512335.181958
2015-01-09 39712952.781494
2015-01-12 39002721.453793
dtype: float64
The problem is the index is already converted at this point and its not easy to get the keys/values out (except to do so explicity which is better IMHO).
Need a review of what currently hits this path (can simply put a halt in here and see what tests hit this). Then figure out a better method.
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