Connected bivariate scatter plots, in a rug.
Installation
Install library, perhaps within a virtualenv:
$ pip install rugplot
A short example
Three scatter plots in a rug:
import numpy as np
import svgwrite, random
from rugplot import CircleMarker, Scatter
N = 12
w = np.random.rand(N)
x = np.random.rand(N)
y = np.random.rand(N)
z = np.random.rand(N)
markers = []
for i in range(N):
markers.append(CircleMarker(x=x[i], y=y[i], r=2.5,
fill=random.choice(['purple', 'blue',
'green', 'orange', 'red'])))
s0 = Scatter(x, y, markers, insert=(100,30), size=(200,200))
s0.drawBorder(stroke='grey', fill='white', stroke_width=0.4)
s0.drawMarkers()
s0.drawDotDash(['e','s'], dash_height=10, stroke="grey", stroke_width=0.4)
s1 = Scatter(w, y, markers, insert=(320,30), size=(350,200))
s1.drawBorder(stroke='grey', fill='white', stroke_width=0.4)
s1.drawMarkers()
s1.drawDotDash(['w'], dash_height=10, stroke="grey", stroke_width=0.4)
s2 = Scatter(x, z, markers, insert=(100,250), size=(200,300))
s2.drawBorder(stroke='grey', fill='white', stroke_width=0.4)
s2.drawMarkers()
s2.drawDotDash(['n','e', 'w'], dash_height=10, stroke="grey", stroke_width=0.4)
rug = svgwrite.Drawing('example.svg')
rug.add(s0.dwg)
rug.add(s1.dwg)
rug.add(s2.dwg)
rug.save()
2 maintainers
Release files for rugplot 0.8.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rugplot-0.8.1.tar.gz | 2.5 kB | Details |
Release files / rugplot-0.8.1.tar.gz
| Download URL | rugplot-0.8.1.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b3df528e85b6bac03b7f5074864948a0a7c5a078e8fa80bc6ca89266ebde7d91
|
|
BLAKE2b-256 checksum How to use checksums |
63db48e16dbeded32645fe0db9184039f1d18ac534210d094b7c828798cb27cc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
