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%matplotlib inline
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from beampy import *
# Remove quiet=True to get beampy compilation outputs
doc = document(quiet=True)
with slide('A figure from a file'):
figure('./ressources/test_0.svg', width=400)
display_matplotlib(gcs())
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with slide('A matplotlib figure'):
import matplotlib.pyplot as mpl
import numpy as np
f = mpl.figure()
mpl.plot(np.random.rand(100), np.random.rand(100), 'o')
figure(f, width=500)
display_matplotlib(gcs())
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with slide('An animated gif'):
figure('../../tests/test.gif', width='50%')
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with slide('A bokeh figure'):
from bokeh.plotting import figure as bokfig
p = bokfig(height=300, width=600)
x = np.random.rand(100)
y = np.random.rand(100)
p.circle(x, y, legend="sin(x)")
figure(p)
# Export the 3 slides of the presentation
save('./examples_html_outputs/figure.html')