scikits.timeseries.TimeSeries.put

TimeSeries.put(indices, values, mode='raise')

Set storage-indexed locations to corresponding values.

Sets self._data.flat[n] = values[n] for each n in indices. If values is shorter than indices then it will repeat. If values has some masked values, the initial mask is updated in consequence, else the corresponding values are unmasked.

Parameters:

indices : 1-D array_like

Target indices, interpreted as integers.

values : array_like

Values to place in self._data copy at target indices.

mode : {‘raise’, ‘wrap’, ‘clip’}, optional

Specifies how out-of-bounds indices will behave. ‘raise’ : raise an error. ‘wrap’ : wrap around. ‘clip’ : clip to the range.

Notes

values can be a scalar or length 1 array.

Examples

>>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4)
>>> print x
[[1 -- 3]
 [-- 5 --]
 [7 -- 9]]
>>> x.put([0,4,8],[10,20,30])
>>> print x
[[10 -- 3]
 [-- 20 --]
 [7 -- 30]]

>>> x.put(4,999)
>>> print x
[[10 -- 3]
 [-- 999 --]
 [7 -- 30]]