Skip to main content

REgular Grid Linear Interpolator.

Project description

regli

REgular Grid Linear Interpolator, capable to deal with spectral library or similar model data.

author

Bo Zhang, bozhang@nao.cas.cn

home page

install

  • for the latest stable version: pip install regli
  • for the latest github version: pip install git+git://github.com/hypergravity/regli

test

from regli import test
test()

output:

regli.interp3 x 10000: 0.5675415992736816 sec
regli.interpn x 10000: 2.5326197147369385 sec
rgi x 10000: 5.4028871059417725 sec

doc

# import Regli
from regli import Regli
import numpy as np

# construct grid coordinates
x1 = np.linspace(-1, 1, 30)     
x2 = np.linspace(-1, 1, 30)
x3 = np.linspace(-1, 1, 30)

# initiate regli using coordinates
regli = Regli(x1, x2, x3)

# an arbitrary function of coordinates (for demo)
f = lambda _x1, _x2, _x3: _x1 + _x2 + _x3

# regli.flats stores flattened coordinates of ND grid
flats = regli.flats
# evaluate your function on flats
values = np.array([f(*_) for _ in flats]).reshape(-1, 1)
# set values for regli
regli.set_values(values)        

regli(pos)                      # use any of the 3 ways to interpolate
regli.interpn(pos)              # method 1 is equivalent to 2
regli.interp3(pos)              # this is accelerated for 3D

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for regli, version 2019.920.0
Filename, size File type Python version Upload date Hashes
Filename, size regli-2019.920.0-py3-none-any.whl (12.2 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size regli-2019.920.0.tar.gz (10.3 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page