Arrays Holding Multidimensional Windows of Streaming Data about xtensor HOT 4 CLOSED

@sirinath thanks for your feedback.

Can you elaborate on what you mean by push and pull evaluation?

from xtensor.

Push - when new data become available this triggers evaluation
Pull - when new items is needed (pulled) the rest is evaluated

Also ideally you should be able to have time based dimensions across where data is streamed.

from xtensor.

I think this should be implemented in a side-project as an extension to xtensor. A possible solution would be adapters on these times series that permits to plug them in the xtensor expression system and trigger the evaluation when needed.

@sirinath I close this issue since it's not something we plan to implement here, but I keep the idea in mind in case I have some time to implement it. In the meanwhile, feel free to propose an implementation if you have some time to do it.

from xtensor.

Is it possible to provide some rudimentary support for holding and computations on time series, vectorised time series data. I think this can be best implemented as array which has circular indexing. As new data comes in you append the vector along a dimension. This will be equivalent to numpy roll by 1 followed by updating the starting value but hopefully be more efficient for real time data. Also another equivalent would be to append and delete the oldest. I believe having a circular view along the axis would make both roll and this faster.

from xtensor.