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Applies ATLAS style to matplotlib plots

Project description


The Python package atlasify applies the ATLAS style to matplotlib plots. This includes

  • Switching to Arial font (not Helvetica since it's not widely available),
  • Adding ticks on all edges,
  • Making ticks to inward,
  • Adding the ATLAS badge with optional labels (e.g. Internal),
  • Adding a description below the badge, and
  • Moving the ATLAS badge outside the axes area.


The package will use Helvetica. The package ships with GPL-licensed Nimbus Sans L as a fallback.

The atlasify package can be installed using pip.

pip install atlasify
# or 
pip install


To apply the basic style, simply call the method without any arguments.

import matplotlib.pyplot as plt
import numpy as np
from atlasify import atlasify

x = np.linspace(-3, 3, 200)
y = np.exp(-x**2)

plt.plot(x, y)

ATLAS style plot


If the first argument is a string, e.g. Internal, it is added after the ATLAS badge.

plt.plot(x, y)

ATLAS style plot


The second argument can be used to add text on the second line. Multiple lines are rendered independently.

plt.plot(x, y)
         "The Gaussian is defined by the\n"
         "function $f(x) = e^{-x^2}$.\n")

ATLAS style plot


Usually there is not enought space for the additinal ATLAS badge. By default, the method enlarges the y-axis by a factor of 1.3. The factor can be changed with the enlarge keyword argument.

plt.plot(x, y)
atlasify("Internal", enlarge=1.5)

ATLAS style plot

Font and figure size and resolution

The font sizes are defined in module constants and can be changed on demand. Please note that the apparent size of the badge does not change when the resolution is changed. However, the badge appears to be larger when the figure size is made smaller.

In the two following plots with different resolution, the badges take the same fraction of the canvas.

plt.plot(x, y)
plt.savefig("test_5.png", dpi=72)
plt.savefig("test_6.png", dpi=300)

ATLAS style plot ATLAS style plot

When a smaller figure size is choose, the badge takes a larger fraction of the canvas.

plt.plot(x, y)

ATLAS style plot

plt.figure(figsize=(4, 4))
heatmap = np.random.normal(size=(4, 4))

atlasify("Internal", "Random heatmap, Outside badge", outside=True)

ATLAS style plot

Project details

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Files for atlasify, version 0.3.0
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