Created
April 23, 2016 22:53
-
-
Save mattbierbaum/538425b8fd81ac85593d51884100f66c to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pylab as pl | |
import numpy as np | |
from matplotlib.colors import Normalize | |
from matplotlib.collections import LineCollection | |
def plot_colored_curve(x, y, t=None, linewidth=2, drawpoints=False, cmap=pl.cm.copper): | |
""" | |
Plot a curve that is colored based on index or 'time' value at each point | |
in that curve. [x,y,t] are the values y(x, t) which will be plotted. They | |
must be the same shape numpy array. If points for the data points are | |
required, set drawpoints=True. | |
""" | |
fig = pl.figure() | |
pl.figure(fig.number) | |
if t is None: | |
t = np.linspace(0,1,x.shape[0]) | |
else: | |
t = Normalize()(t) | |
points = np.array([x,y]).transpose().reshape(-1,1,2) | |
segs = np.concatenate([points[:-1],points[1:]],axis=1) | |
lc = LineCollection(segs, cmap=cmap, linewidths=linewidth) | |
lc.set_array(t) | |
if drawpoints: | |
pl.scatter(x, y, c=np.arange(len(x)), linestyle='-',cmap=cmap) | |
pl.gca().add_collection(lc) | |
pl.show() | |
pl.draw() | |
def demo(): | |
N = 10000 | |
x = np.linspace(0, 1, N) | |
y = np.cumsum(np.random.rand(N)-0.5) | |
t = np.tanh(x) | |
plot_colored_curve(x, y, t) | |
pl.xlim(x.min(), x.max()) | |
pl.ylim(y.min(), y.max()) | |
pl.draw() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment