scikits.timeseries.TimeSeries.astype

TimeSeries.astype(newtype)

Returns a copy of the MaskedArray cast to given newtype.

Returns:

output : MaskedArray

A copy of self cast to input newtype. The returned record shape matches self.shape.

Examples

>>> x = np.ma.array([[1,2,3.1],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4)
>>> print x
[[1.0 -- 3.1]
 [-- 5.0 --]
 [7.0 -- 9.0]]
>>> print x.astype(int32)
[[1 -- 3]
 [-- 5 --]
 [7 -- 9]]