GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — fastplotlib/examples/line/line.py at streamplot · fastplotlib/fastplotlib

Expand file tree

/

line.py

Copy path
More file actions
More file actions

Latest commit

 

History

History
History
47 lines (34 loc) · 1.1 KB
/

line.py

Copy path

File metadata and controls

47 lines (34 loc) · 1.1 KB
Raw
Copy raw file
Download raw file
Open symbols panel
Edit and raw actions
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
"""
Simple Line Plot
================
Example showing cosine, sine, sinc lines.
"""
# test_example = true
# sphinx_gallery_pygfx_docs = 'screenshot'
import fastplotlib as fpl
import numpy as np
figure = fpl.Figure(size=(700, 560))
xs = np.linspace(-10, 10, 100)
# sine wave
ys = np.sin(xs)
sine_data = np.column_stack([xs, ys])
# cosine wave
ys = np.cos(xs) + 5
cosine_data = np.column_stack([xs, ys])
# sinc function
a = 0.5
ys = np.sinc(xs) * 3 + 8
sinc_data = np.column_stack([xs, ys])
sine = figure[0, 0].add_line(data=sine_data, thickness=5, colors="magenta")
# you can also use colormaps for lines!
cosine = figure[0, 0].add_line(data=cosine_data, thickness=12, cmap="autumn")
# or a list of colors for each datapoint
colors = ["r"] * 25 + ["purple"] * 25 + ["y"] * 25 + ["b"] * 25
sinc = figure[0, 0].add_line(data=sinc_data, thickness=5, colors=colors)
figure[0, 0].axes.grids.xy.visible = True
figure.show()
# NOTE: fpl.loop.run() should not be used for interactive sessions
# See the "JupyterLab and IPython" section in the user guide
if __name__ == "__main__":
print(__doc__)
fpl.loop.run()
You are visitor 01402520 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.