def show_rfi_sk(band):
"""Display the result of an SK measurement for the given band
(an integer between 1 and 34)."""
import matplotlib.pyplot as plt
import numpy as np
pcapfile = "/home/user/Python/band" + str(band) + "_2.pcap"
out1 = p.rd_spec(pcapfile)
out1.shape = (200, 4096, 8)
good = np.where(out1[:, 1000, 0] != 0)[0]
n = len(good)
out1 = out1[good, :, :]
sk = (1792 + 1) / (1792.0 - 1) * (1792 * out1[:, :, 4:8] / (out1[:, :, 0:4] ** 2) - 1)
plt.figure()
title = ["Ant1 X", "Ant1 Y", "Ant2 X", "Ant2 Y"]
for i in range(4):
plt.subplot(4, 1, i + 1)
plt.imshow(np.logical_or(sk[:, :, i] > 1.15, sk[:, :, i] < 0.85), aspect="auto", interpolation="nearest")
plt.title(title[i])
plt.set_cmap("gray")
pcapfile = "/home/user/Python/band" + str(band) + "_3.pcap"
out2 = p.rd_spec(pcapfile)
out2.shape = (200, 4096, 8)
good = np.where(out2[:, 1000, 0] != 0)[0]
n = len(good)
out2 = out2[good, :, :]
sk = (1792 + 1) / (1792.0 - 1) * (1792 * out2[:, :, 4:8] / (out2[:, :, 0:4] ** 2) - 1)
plt.figure()
title = ["Ant3 X", "Ant3 Y", "Ant4 X", "Ant4 Y"]
for i in range(4):
plt.subplot(4, 1, i + 1)
plt.imshow(np.logical_or(sk[:, :, i] > 1.15, sk[:, :, i] < 0.85), aspect="auto", interpolation="nearest")
plt.title(title[i])
return out1, out2
def show_rfi_sk(band):
'''Display the result of an SK measurement for the given band
(an integer between 1 and 34).'''
import matplotlib.pyplot as plt
import numpy as np
pcapfile = '/home/user/Python/band' + str(band) + '_2.pcap'
out1 = p.rd_spec(pcapfile)
out1.shape = (200, 4096, 8)
good = np.where(out1[:, 1000, 0] != 0)[0]
n = len(good)
out1 = out1[good, :, :]
sk = (1792 + 1) / (1792. - 1) * (1792 * out1[:, :, 4:8] /
(out1[:, :, 0:4]**2) - 1)
plt.figure()
title = ['Ant1 X', 'Ant1 Y', 'Ant2 X', 'Ant2 Y']
for i in range(4):
plt.subplot(4, 1, i + 1)
plt.imshow(np.logical_or(sk[:, :, i] > 1.15, sk[:, :, i] < 0.85),
aspect='auto',
interpolation='nearest')
plt.title(title[i])
plt.set_cmap('gray')
pcapfile = '/home/user/Python/band' + str(band) + '_3.pcap'
out2 = p.rd_spec(pcapfile)
out2.shape = (200, 4096, 8)
good = np.where(out2[:, 1000, 0] != 0)[0]
n = len(good)
out2 = out2[good, :, :]
sk = (1792 + 1) / (1792. - 1) * (1792 * out2[:, :, 4:8] /
(out2[:, :, 0:4]**2) - 1)
plt.figure()
title = ['Ant3 X', 'Ant3 Y', 'Ant4 X', 'Ant4 Y']
for i in range(4):
plt.subplot(4, 1, i + 1)
plt.imshow(np.logical_or(sk[:, :, i] > 1.15, sk[:, :, i] < 0.85),
aspect='auto',
interpolation='nearest')
plt.title(title[i])
return out1, out2
def qlook(file):
''' Routine to show all four channels (2 ants, 2 poln) for
a pcapture file with a name of pattern 'bandnn_e.pcap'
where nn is band number (can be 1 digit) and e is
ethernet interface (eth) number (2 or 3)
'''
import matplotlib.pyplot as plt
out = p.rd_spec(file).reshape(200, 4096, 8)
f, ax = plt.subplots(4, 1, sharex=True)
ax[0].imshow(out[:, :, 0])
ax[1].imshow(out[:, :, 1])
ax[2].imshow(out[:, :, 2])
ax[3].imshow(out[:, :, 3])
band = file.split('band')[1].split('_')[0]
if file.find('_2') != -1:
ax[0].set_title('Ants 1 & 2, band ' + band)
else:
ax[0].set_title('Ants 3 & 4, band ' + band)
return out
def qlook(file):
""" Routine to show all four channels (2 ants, 2 poln) for
a pcapture file with a name of pattern 'bandnn_e.pcap'
where nn is band number (can be 1 digit) and e is
ethernet interface (eth) number (2 or 3)
"""
import matplotlib.pyplot as plt
out = p.rd_spec(file).reshape(200, 4096, 8)
f, ax = plt.subplots(4, 1, sharex=True)
ax[0].imshow(out[:, :, 0])
ax[1].imshow(out[:, :, 1])
ax[2].imshow(out[:, :, 2])
ax[3].imshow(out[:, :, 3])
band = file.split("band")[1].split("_")[0]
if file.find("_2") != -1:
ax[0].set_title("Ants 1 & 2, band " + band)
else:
ax[0].set_title("Ants 3 & 4, band " + band)
return out