Note
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Light and Compact Style#
A style is a preset of configuration values. Once called, it effects all subsequent Figures/graphic objects that the style sets.

# test_example = true
import numpy as np
import fastplotlib as fpl
# white background, black axes, dark graphic colors
fpl.style.light()
# no subplot toolbar, thin subplot frame
# this configuration is merged with the existing light preset from above
fpl.style.compact()
xs = np.linspace(-10, 10, 100)
ys = np.sin(xs)
data = np.column_stack([xs, ys])
figure = fpl.Figure(shape=(2, 1), size=(700, 560))
# the colors of the line and the scatter come from the style
figure[0, 0].add_line(data)
figure[1, 0].add_scatter(data)
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()
Total running time of the script: (0 minutes 0.319 seconds)