dufte 0.2.13

Clean matplotlib plots

Tufte-style plots from Berlin.

This package creates clean and beautiful plots that work on light and dark backgrounds.

Simply select the dufte style and, if desired, call dufte.legend() to get line annotations on the right.

import matplotlib.pyplot as plt
import dufte
import numpy

plt.style.use(dufte.style)

numpy.random.seed(0)

x0 = numpy.linspace(0.0, 3.0, 100)
y0 = x0 / (x0 + 1)
y0 += 0.1 * numpy.random.rand(len(y0))
plt.plot(x0, y0, label="no balacing")

x1 = numpy.linspace(0.0, 3.0, 100)
y1 = 1.5 * x1 / (x1 + 1)
y1 += 0.1 * numpy.random.rand(len(y1))
plt.plot(x1, y1, label="CRV-27")

x2 = numpy.linspace(0.0, 3.0, 100)
y2 = 1.6 * x2 / (x2 + 1)
y2 += 0.1 * numpy.random.rand(len(y2))
plt.plot(x2, y2, label="CRV-27*")

dufte.legend()

plt.show()

Further reading:

• Randal S. Olson's blog entry
• prettyplotlib
• Wikipedia: Chartjunk

Background

The position $x_i$ of the line annotations is computed as the solution of a non-negative least-squares problem $$ \begin{align} \frac{1}{2}\sum_i (x_i - t_i)^2 \to \min_x,\\ (x_i - x_j)^2 \ge a^2 \quad \forall i,j. \end{align} $$ where $a$ is the minimum distance between two entries and $t_i$ is the target position.

Testing

To run the dufte unit tests, check out this repository and type

pytest

License

This software is published under the GPLv3 license.