Description:
lick 0.6.0
lick
Line Integral Convolution Knit : Package that uses a Line Integral Convolution library to clothe a 2D field (ex: density field) with a LIC texture, given two vector fields (ex: velocity (vx, vy)).
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,
niter_lic=5,
kernel_length=64,
cmap="inferno",
stream_density=0.5
)
plt.show()
vectorplot
The core LIC implementation was authored by Anne Archibald, and is forked from
https://github.com/aarchiba/scikits-vectorplot
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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