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Option to utilize non-equidistant min-max in MinMaxLTTB #35

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jonasvdd opened this issue Apr 6, 2023 · 0 comments
Open

Option to utilize non-equidistant min-max in MinMaxLTTB #35

jonasvdd opened this issue Apr 6, 2023 · 0 comments
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enhancement New feature or request

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jonasvdd commented Apr 6, 2023 •
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This GitHub aims to improve the computational performance of the MinMaxLTTB.

To clarify, MinMaxLTTB currently utilizes the x data in the minmax prefetching step. This causes to create equidistant bins, which is computationally expensive.

Since this MinMax prefecthing tends to use an n_out factor greater than 20, it may be advantageous to consider the MinMax prefetching method for only the y-values (and thus not the x-values) while omitting the equidistant binning.
@jonasvdd jonasvdd added the enhancement New feature or request label Apr 6, 2023
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