timeseries attributes like t.sampling_rate should be more tightly integrated

[ivanov]

right now, not only do sampling_rate and sampling_interval not know about each other, so you have to set both if you're changing them, but they also don't know about their underlying data.

In [21]: ts.UniformTime(0,10,10)
Out[21]: UniformTime([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9.], time_unit='s')

In [22]: ut = _

In [23]: ut*10
Out[23]: UniformTime([  0.,  10.,  20.,  30.,  40.,  50.,  60.,  70.,  80.,  90.], time_unit='s')

In [24]: ut2 = ut*10

In [25]: ut2.sampling_rate
Out[25]: 1.0 Hz

[arokem]

OK - I think that this refers to your recent commit, here:

4fd9528

So:

In [24]: ut
Out[24]: UniformTime([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.], time_unit='s')

In [25]: ut *= 2
In [26]: ut
Out[26]: UniformTime([ 0., 2., 4., 6., 8., 10., 12., 14., 16., 18.], time_unit='s')

In [27]: ut.sampling_interval
Out[27]: 2.0 s

and:

In [28]: ut.sampling_interval
Out[28]: 0.5 Hz

On the other hand:

In [28]: ut.duration
Out[28]: 10.0 s

Maybe these functions could change the duration as well?

[arokem]

And this is also true:

In [35]: ut = ts.UniformTime(0,10,10)

In [36]: ut.sampling_rate = 2

In [37]: ut
Out[37]: UniformTime([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.], time_unit='s')

What do you think about that?