84 lines
2.6 KiB
Python
84 lines
2.6 KiB
Python
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#!/usr/bin/env python3
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"""
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Generate a figure showing a beacon (by default 1 period).
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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def ttl(t, t_start=0, frequency=1, width=0.5):
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"""
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Generate a TTL with width $width$ and starting at $t_start.
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"""
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return ( (t%frequency) >= t_start) & ( (t%frequency) < t_start + width)
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def main(beacon_type, N_periods=1, overplot_sampling_rates = False, sampling_rate=5, t_start=0, sampling_offset_in_rate=1/4, ax=None, fig_kwargs={'figsize': (4,2)}):
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t_end = N_periods - t_start
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N_t = 200
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if ax is None:
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fig, ax = plt.subplots(1,1, **fig_kwargs)
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time = np.linspace(t_start, t_end, N_t, endpoint=False)
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if beacon_type == 'ttl':
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sig_func = lambda t: ttl(t, frequency=1)
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elif beacon_type == 'sine':
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sig_func = lambda t: np.sin(2*np.pi*t)
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else:
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raise ValueError("Unknown beacon_type requested.")
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ax.plot(time, sig_func(time))
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ax.grid(True)
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if overplot_sampling_rates:
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sampling_offset = sampling_offset_in_rate * 1/sampling_rate
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sample_time = np.linspace(t_start, t_end, sampling_rate, endpoint=False)
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ax.plot(sample_time, sig_func(sample_time), label='Sampling 1', linestyle='None', marker='x')
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sample_time += sampling_offset
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ax.plot(sample_time, sig_func(sample_time), label='Sampling 2', linestyle='None', marker='+')
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ax.set_ylim(top=1.4)
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ax.legend(loc="upper center", ncol=2, )
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return fig, ax, dict(
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sig_func=sig_func,
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time=time,
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sample_time=sample_time,
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sampling_offset=sampling_offset,
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)
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if __name__ == "__main__":
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from argparse import ArgumentParser
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import os.path as path
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parser = ArgumentParser(description=__doc__)
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parser.add_argument('type', choices=['ttl','sine'])
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parser.add_argument('--periods', default=1, help='Number of periods to show', type=int)
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parser.add_argument('--with-rates', action='store_true', help='show two samplings with different phase')
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parser.add_argument("fname", metavar="path/to/figure[/]", nargs="?", help="Location for generated figure, will append __file__ if a directory. If not supplied, figure is shown.")
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args = parser.parse_args()
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if args.fname is not None and path.isdir(args.fname):
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args.fname = path.join(args.fname, path.splitext(path.basename(__file__))[0] + ".pdf")
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###
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fig, _, _ = main(beacon_type=args.type, overplot_sampling_rates=args.with_rates, N_periods=args.periods)
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if args.fname is not None:
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plt.savefig(args.fname)
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else:
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plt.show()
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