dask/dask

Implementation of scipy.integrate.simps

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#2629 opened on Aug 26, 2017

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 (9 comments) (0 reactions) (0 assignees)Python (11,520 stars) (1,658 forks)batch import
arraygood first issue

Description

Are there plans to implement scipy.integrate.simps? It is a pretty useful method that would easily gain from chunking (when integration is done down one axis of a multi-N array).

Contributor guide

Tech stack
python
Domain
data
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
PythonNumPyDask arraysIntegration methods
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65
Research direction
The issue requests implementing scipy.integrate.simps in Dask. First, examine existing integration functions in Dask (e.g., dask.array) to understand the pattern. Then, study the scipy implementation of simps and consider how to parallelize it by chunking along one axis. The discussion in the issue mentions potential performance gains from chunking multi dimensional arrays. Look at any linked PRs or comments for additional context, but there are none currently. The implementation should follow Dask's API conventions.