# Best way to take derivatives of unevenly spaced data (with interpolations? discrete derivatives?)

**URL:** <https://discourse.julialang.org/t/best-way-to-take-derivatives-of-unevenly-spaced-data-with-interpolations-discrete-derivatives/54097>\
**Category:** Numerics\
**Tags:** intervals, interpolations\
**Created:** [January 28, 2021, 4:57am UTC](https://discourse.julialang.org/t/best-way-to-take-derivatives-of-unevenly-spaced-data-with-interpolations-discrete-derivatives/54097 "2021-01-28T04:57:10Z")\
**Posts on this page:** 1\
**Showing post:** 38

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**Author:** ![Jake](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jake/32/46007_2.png) [@Jake](https://discourse.julialang.org/u/Jake)\
**Post date:** [April 30, 2021, 12:44pm UTC](https://discourse.julialang.org/t/best-way-to-take-derivatives-of-unevenly-spaced-data-with-interpolations-discrete-derivatives/54097/38 "2021-04-30T12:44:34Z")

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This [post](https://discourse.julialang.org/t/smoothing-interpolation-for-tachometer-data/56117/21) is excellent for ideas to try a number of smoothing spline approaches.

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_[View the full topic](https://discourse.julialang.org/t/best-way-to-take-derivatives-of-unevenly-spaced-data-with-interpolations-discrete-derivatives/54097)._