Tufte-style plots from Berlin.
This package creates clean and beautiful plots that work on light and dark backgrounds.
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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:
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.