lick
Line Integral Convolution Knit : clothe a 2D field (ex: density field) with a LIC texture, given two vector fields (ex: velocity (vx, vy)).
This package builds on top of rLIC, adding post-processing and visualization functionalities.
Authors: Gaylor Wafflard-Fernandez, Clément Robert
Author-email: gaylor.wafflard@univ-grenoble-alpes.fr
Installation
Install with pip
pip install lick
To import lick:
import lick as lk
The important functions are lick_box and lick_box_plot. While lick_box interpolates the data and perform a line integral convolution, lick_box_plot directly plots the final image. Use lick_box if you want to have more control of the plots you want to do with the lic. Use lick_box_plot if you want to take advantage of the fine-tuning of the pcolormesh parameters.
Example
import numpy as np
import matplotlib.pyplot as plt
from lick import lick_box_plot
fig, ax = plt.subplots()
x = np.geomspace(0.1, 10, 128)
y = np.geomspace(0.1, 5, 128)
a, b = np.meshgrid(x, y)
v1 = np.cos(a)
v2 = np.sin(b)
field = v1 ** 2 + v2 ** 2
lick_box_plot(
fig,
ax,
x,
y,
v1,
v2,
field,
size_interpolated=256,
xmin=1,
xmax=9,
ymin=1,
ymax=4,
kernel=np.sin(np.linspace(0, np.pi, 64)),
niter_lic=5,
post_lic="north-west-light-source",
cmap="inferno",
stream_density=0.5,
)
plt.show()
Metadata
Release files for lick 0.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lick-0.10.0.tar.gz | 22.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lick-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.3 kB
Release files / lick-0.10.0.tar.gz
| Download URL | lick-0.10.0.tar.gz |
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| Size | 22.5 kB |
| Tags | Source |
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| Tags | Python 3 |
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