mirror of
https://gitlab.science.ru.nl/mthesis-edeboone/m.internship-documentation.git
synced 2024-11-14 03:13:37 +01:00
92 lines
3.1 KiB
Python
Executable file
92 lines
3.1 KiB
Python
Executable file
#!/usr/bin/env python3
|
|
|
|
"""
|
|
Generate a figure showing a beacon (by default 1 period).
|
|
"""
|
|
|
|
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
|
|
def ttl(t, t_start=0, frequency=1, width=0.5):
|
|
"""
|
|
Generate a TTL with width $width$ and starting at $t_start.
|
|
"""
|
|
|
|
return ( (t%frequency) >= t_start) & ( (t%frequency) < t_start + width)
|
|
|
|
|
|
def main(beacon_type, N_periods=1, overplot_sampling_rates = False, sampling_rate=6, t_start=-0.3, sampling_offset_in_rate=1, ax=None, fig_kwargs={'figsize': (4,2)}, N_t=200, plot_grid=True):
|
|
|
|
t_end = N_periods - t_start
|
|
|
|
if ax is None:
|
|
fig, ax = plt.subplots(1,1, **fig_kwargs)
|
|
|
|
time = np.linspace(t_start, t_end, N_t, endpoint=False)
|
|
|
|
if beacon_type == 'ttl':
|
|
sig_func = lambda t: 2*ttl(t, frequency=1) - 1
|
|
elif beacon_type == 'sine':
|
|
sig_func = lambda t: np.sin(2*np.pi*t)
|
|
else:
|
|
raise ValueError("Unknown beacon_type requested.")
|
|
|
|
ax.plot(time, sig_func(time))
|
|
ax.grid(plot_grid)
|
|
ax.set_xlim(t_start, t_end)
|
|
ax.set_ylim(-1.5, 1.5)
|
|
|
|
if True:
|
|
ax.spines['top'].set_visible(False)
|
|
ax.spines['right'].set_visible(False)
|
|
ax.spines['bottom'].set_visible(False)
|
|
ax.spines['left'].set_visible(False)
|
|
|
|
ax.tick_params(left=False, bottom=False, labelleft=False, labelbottom=False)
|
|
|
|
if overplot_sampling_rates:
|
|
sampling_offset = sampling_offset_in_rate * 1/sampling_rate
|
|
|
|
sample_time = np.linspace(t_start, t_end, sampling_rate, endpoint=False)
|
|
|
|
ax.plot(sample_time, sig_func(sample_time), label='Sampling 1', linestyle='None', marker='x')
|
|
|
|
sample_time += sampling_offset
|
|
ax.plot(sample_time, sig_func(sample_time), label='Sampling 2', linestyle='None', marker='+')
|
|
|
|
|
|
fig.legend(loc="lower center", ncol=2, )
|
|
|
|
|
|
return fig, ax, dict(
|
|
sig_func=sig_func,
|
|
time=time,
|
|
sample_time=sample_time,
|
|
sampling_offset=sampling_offset,
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
from argparse import ArgumentParser
|
|
import os.path as path
|
|
|
|
parser = ArgumentParser(description=__doc__)
|
|
parser.add_argument('type', choices=['ttl','sine'])
|
|
parser.add_argument('--periods', default=1, help='Number of periods to show', type=int)
|
|
parser.add_argument('--with-rates', action='store_true', help='show two samplings with different phase')
|
|
parser.add_argument('--no-grid', dest='grid', action='store_false', help='underlie a grid')
|
|
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.")
|
|
|
|
args = parser.parse_args()
|
|
|
|
if args.fname is not None and path.isdir(args.fname):
|
|
args.fname = path.join(args.fname, path.splitext(path.basename(__file__))[0] + ".pdf")
|
|
|
|
###
|
|
fig, _, _ = main(beacon_type=args.type, overplot_sampling_rates=args.with_rates, N_periods=args.periods, plot_grid=args.grid)
|
|
|
|
if args.fname is not None:
|
|
plt.savefig(args.fname)
|
|
else:
|
|
plt.show()
|
|
|