Let's first make sure we have the latest version of PHOEBE 2.2 installed. (You can comment out this line if you don't use pip for your installation or don't want to update to the latest release).
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!pip install -I "phoebe>=2.2,<2.3"
As always, let's do imports and initialize a logger and a new bundle. See Building a System for more details.
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import phoebe
from phoebe import u # units
import numpy as np
import matplotlib.pyplot as plt
logger = phoebe.logger()
b = phoebe.default_binary()
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times = np.linspace(0,1,21)
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b.add_dataset('lc', times=times, dataset='lc01')
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b.add_dataset('rv', times=times, dataset='rv01')
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b.add_dataset('mesh', times=times, columns=['visibilities', 'intensities@lc01', 'rvs@rv01'], dataset='mesh01')
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b.run_compute(irrad_method='none')
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See the Animations Tutorial for more examples and details.
Here we'll create a figure with multiple subplots. The top row will be the light curve and RV curve. The bottom three subplots will be various representations of the mesh (intensities, rvs, and visibilities).
We'll do this by making separate calls to plot, passing the matplotlib subplot location for each axes we want to create. We can then call b.show(animate=True) or b.save('anim.gif', animate=True).
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b['lc01@model'].plot(axpos=221)
b['rv01@model'].plot(c={'primary': 'blue', 'secondary': 'red'}, linestyle='solid', axpos=222)
b['mesh@model'].plot(fc='intensities@lc01', ec='None', axpos=425)
b['mesh@model'].plot(fc='rvs@rv01', ec='None', axpos=427)
b['mesh@model'].plot(fc='visibilities', ec='None', y='ws', axpos=224)
fig = plt.figure(figsize=(11,4))
afig, mplanim = b.savefig('animation_binary_complete.gif', fig=fig, tight_layouot=True, draw_sidebars=False, animate=True, save_kwargs={'writer': 'imagemagick'})
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