interp1d.jl
A Julia package for univariate interpolation
Science Score: 31.0%
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Low similarity (9.8%) to scientific vocabulary
Keywords
Repository
A Julia package for univariate interpolation
Basic Info
- Host: GitHub
- Owner: AtsushiSakai
- License: mit
- Language: Julia
- Default Branch: master
- Homepage: https://atsushisakai.github.io/Interp1d.jl/stable
- Size: 1.21 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Interp1d
A Julia package for univariate interpolations.
This package is inspired by scipy.interpolate.interp1d function.
Requirements
Julia 1.6.x or higher.
Install
If you want use latest development version,
jl
using Pkg;Pkg.add(url = "https://github.com/AtsushiSakai/Interp1d.jl.git")
How to use
You can use many kind of univariate interpolations:
jl
using Interp1d
using PyPlot
xi = collect(0.0:10.0) # x of interpolated points
yi = exp.(-xi./3.0) # y of interpolated points
x = collect(-1.0:0.1:11.0) # sampling points
for mode in INTERP_MODE_LIST # Do interpolations for all modes.
f = interp(xi, yi, mode) # get an interpolation function
y = f.(x) # Do interpolation
plot(x, y, label=string(mode))
end
plot(xi, yi, "xr")
legend()
Details and other tips can be found in the latest documentaion:
Author
Owner
- Name: Atsushi Sakai
- Login: AtsushiSakai
- Kind: user
- Location: Kanagawa, Japan
- Website: https://atsushisakai.github.io/
- Twitter: Atsushi_twi
- Repositories: 207
- Profile: https://github.com/AtsushiSakai
An autonomous navigation system engineer, and an OSS developer of #PythonRobotics and #SciPy etc. Japanese web page maintainer of #NumPy
Citation (CITATION.bib)
@misc{Interp1d.jl,
author = {Atsushi Sakai <asakai.amsl+github@gmail.com> and contributors},
title = {Interp1d.jl},
url = {https://github.com/AtsushiSakai/Interp1d.jl},
version = {v0.1.0},
year = {2021},
month = {3}
}
GitHub Events
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| Name | Commits | |
|---|---|---|
| Atsushi Sakai | a****b@g****m | 24 |
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