Phasefield figure finalised, moving to documentation repository

This commit is contained in:
Eric Teunis de Boone 2022-09-23 10:25:33 +02:00
parent 911d5b7a54
commit 2bfdd922bb

View file

@ -1,5 +1,12 @@
#!/usr/bin/env python3 #!/usr/bin/env python3
__doc__ = \
"""
Generate a figure showing a value combining
the delays between a transmitter and a set of antennas
"""
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import numpy as np import numpy as np
from itertools import chain, combinations, product from itertools import chain, combinations, product
@ -53,7 +60,6 @@ def grid_plot(grid, ax=None, **plot_kwargs):
for x_,y_,l_ in zip(x,y,l): for x_,y_,l_ in zip(x,y,l):
ax.annotate(l_,(x_,y_)) ax.annotate(l_,(x_,y_))
def antenna_combinations(ants, ref_ant=None): def antenna_combinations(ants, ref_ant=None):
if ref_ant is not None: # use only one reference antenna for the baselines if ref_ant is not None: # use only one reference antenna for the baselines
ref = ref_ant ref = ref_ant
@ -113,9 +119,6 @@ def plot_field(tx, ants, xx, yy, val, ax=None, ref_ant=None, color_label='$\\lef
default_scatter_kwargs['vmax'] = len(ants)*np.pi default_scatter_kwargs['vmax'] = len(ants)*np.pi
#default_scatter_kwargs['cmap'] = 'gray' #default_scatter_kwargs['cmap'] = 'gray'
pass pass
else:
val *=1e9 # to ns
default_scatter_kwargs['vmax'] = 100
scatter_kwargs = {**default_scatter_kwargs, **scatter_kwargs} scatter_kwargs = {**default_scatter_kwargs, **scatter_kwargs}
@ -131,7 +134,6 @@ def plot_field(tx, ants, xx, yy, val, ax=None, ref_ant=None, color_label='$\\lef
return ax return ax
def square_grid(dx=1, N_x=10, dy=None, N_y=None, x_start=0, y_start=0): def square_grid(dx=1, N_x=10, dy=None, N_y=None, x_start=0, y_start=0):
N_y = N_x if N_y is None else N_y N_y = N_x if N_y is None else N_y
dy = dx if dy is None else dy dy = dx if dy is None else dy
@ -154,36 +156,60 @@ def triangular_grid(dx=1, N_x=10, dy=None, N_y=None, x_start=0, y_start=0):
if __name__ == "__main__": if __name__ == "__main__":
from argparse import ArgumentParser
import os.path as path
### parser = ArgumentParser(description=__doc__)
### Field 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.")
###
x_low, x_high, N_x = -1203, 300, 81
y_low, y_high, N_y = -x_low, -x_high, N_x
###
### Geometry
###
tx = Antenna(x=-800,y=300,z=0,name="tx")
if True: # single baseline parser.add_argument("type", choices=['single-left', 'single-center', 'square', 'tri', 'preset'])
command_group = parser.add_mutually_exclusive_group(required=True)
command_group.add_argument('--time', help='Use the time difference for the field', action='store_false')
command_group.add_argument('--phase', help='Use wrapped phase for the field', action='store_true')
parser.add_argument('--ref', dest='ref_ant', metavar='ref_antenna', help='Number of antenna to use as reference')
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")
args.plot_phase = args.phase or args.time
del args.time, args.phase
if 'single' in args.type: # single baseline
### Field
x_low, x_high, N_x = -300, 300, 81
y_low, y_high, N_y = -300, 300, 81
### Geometry
ants = [ ants = [
Antenna(x=-50,y=0,z=0,name="a"), Antenna(x=-50,y=0,z=0,name="a"),
Antenna(x=50,y=0,z=0,name="b"), Antenna(x=50,y=0,z=0,name="b"),
] ]
tx = Antenna(x=-000,y=200,z=0,name="tx") if args.type == 'single-center':
tx = Antenna(x=-000,y=200,z=0,name="tx")
else:
tx = Antenna(x=-200,y=200,z=0,name="tx")
x_low, x_high, N_x = -300, 300, 81 elif args.type == 'square' or args.type == 'tri': # from grid definition
y_low, y_high, N_y = -300, 300, 81 ### Field
x_low, x_high, N_x = -1800, 1800, 161
y_low, y_high, N_y = -x_low, -x_high, N_x
elif not True: # from grid definition ### Geometry
tx = Antenna(x=-800,y=300,z=0,name="tx")
x_start, dx, ant_N_x = 0, 50, 2 x_start, dx, ant_N_x = 0, 50, 2
y_start, dy, ant_N_y = 0, dx, ant_N_x y_start, dy, ant_N_y = 0, dx, ant_N_x
if not True: # square grid if args.type == 'square': # square grid
grid_func = square_grid grid_func = square_grid
elif True: # triangular elif args.type == 'tri': # triangular
grid_func = triangular_grid grid_func = triangular_grid
grid = grid_func(dx=dx, dy=dy, N_x=ant_N_x, N_y=ant_N_y, x_start=x_start, y_start=y_start) grid = grid_func(dx=dx, dy=dy, N_x=ant_N_x, N_y=ant_N_y, x_start=x_start, y_start=y_start)
@ -191,6 +217,12 @@ if __name__ == "__main__":
ants = [ Antenna(x=x,y=y,z=0,name=i) for i, (x,y) in enumerate(grid) ] ants = [ Antenna(x=x,y=y,z=0,name=i) for i, (x,y) in enumerate(grid) ]
else: else:
### Field
x_low, x_high, N_x = -400, 400, 161
y_low, y_high, N_y = -x_low, -x_high, N_x
### Geometry
tx = Antenna(x=-300,y=300,z=0,name="tx")
ants = [ ants = [
Antenna(x=100,y=0,z=0,name="a"), Antenna(x=100,y=0,z=0,name="a"),
Antenna(x=0,y=-50,z=0,name="b"), Antenna(x=0,y=-50,z=0,name="b"),
@ -201,13 +233,12 @@ if __name__ == "__main__":
### ###
### Options ### Options
### ###
plot_phase = True plot_phase = args.plot_phase
ref_ant = None ref_ant = args.ref_ant
ant_combi = antenna_combinations(ants, ref_ant=ref_ant) ant_combi = antenna_combinations(ants, ref_ant=ref_ant)
print("Antenna Combinations calculated")
xs = np.linspace(x_low, x_high, N_x) xs = np.linspace(x_low, x_high, N_x)
ys = np.linspace(y_low, y_high, N_y) ys = np.linspace(y_low, y_high, N_y)
@ -218,13 +249,15 @@ if __name__ == "__main__":
mask = abs(val) > np.pi mask = abs(val) > np.pi
kwargs = {}
if plot_phase: if plot_phase:
color_label='$\\sqrt{ \\sum \\left(\\varphi(x) - \\Delta \\varphi\\right)^2}$' color_label='$\\sqrt{ \\sum \\left(\\varphi(x) - \\Delta \\varphi\\right)^2}$'
else: else:
color_label='$\\sqrt{ \\sum \\left(t(x) - \\Delta t\\right)^2}$ [ns]' color_label='$\\sqrt{ \\sum \\left(t(x) - \\Delta t\\right)^2}$ [ns]'
val *= 1e9 val *= 1e9
kwargs['vmax'] = 100
ax = plot_field(tx, ants, xx, yy, val, ax=None, ref_ant=ref_ant, mask=mask, color_label=color_label) ax = plot_field(tx, ants, xx, yy, val, ax=None, ref_ant=ref_ant, mask=mask, color_label=color_label, **kwargs)
# if plot_phase: # if plot_phase:
# N_lowest = np.min(len(ant_combi)-1, 10) # N_lowest = np.min(len(ant_combi)-1, 10)
@ -233,4 +266,8 @@ if __name__ == "__main__":
# print(lowest_idx) # print(lowest_idx)
# print(val[lowest_idx]) # print(val[lowest_idx])
# print( list(zip(np.array(xx)[lowest_idx], np.array(yy)[lowest_idx])) ) # print( list(zip(np.array(xx)[lowest_idx], np.array(yy)[lowest_idx])) )
plt.show()
if args.fname is not None:
plt.savefig(args.fname)
else:
plt.show()