utils: new and improved plotting scripts
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28
impl/utils/plot_amp_phase.py
Executable file
28
impl/utils/plot_amp_phase.py
Executable file
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#!/usr/bin/env python3
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import sys
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import numpy as np
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import matplotlib.pyplot as pp
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with open(sys.argv[1], 'rb') as infile:
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header = infile.read(4)
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if header == b'CPX_':
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T = np.fromfile(infile, dtype=np.float32, count=1)
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data = np.fromfile(infile, dtype=np.complex64)
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else:
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print(f"Error: Format {header} not implemented yet.")
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exit(1)
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t = np.arange(0, T*data.size, T)
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amp = np.absolute(data)
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phase = np.angle(data)
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pp.plot(t, amp, 'r-')
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pp.legend(['Amplitude'])
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pp.twinx()
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pp.plot(t, phase, 'b-')
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pp.legend(['Phase [radians]'])
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pp.xlabel('Time [s]')
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pp.show()
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44
impl/utils/plot_spectrum_loop.py
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impl/utils/plot_spectrum_loop.py
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#!/usr/bin/env python3
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import sys
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import numpy as np
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import matplotlib.pyplot as pp
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from matplotlib.animation import FuncAnimation
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def load_data():
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with open(sys.argv[1], 'rb') as infile:
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header = infile.read(4)
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if header != b'CPX_':
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print(f"Error: not a complex signal file. Format {header} not implemented yet.")
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exit(1)
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T = np.fromfile(infile, dtype=np.float32, count=1)
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data = np.fromfile(infile, dtype=np.complex64)
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f = np.arange(-1/(2*T), 1/(2*T), 1/T/data.size)[:data.size]
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spec = 20*np.log10(np.absolute(np.fft.fftshift(np.fft.fft(data))) / data.size)
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return spec, f
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fig = pp.figure()
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ax = pp.subplot()
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spec, f = load_data()
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line, = ax.plot(f, spec, 'b-')
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ax.legend(['Spectrum'])
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ax.set_xlabel('Frequency [Hz]')
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def update(*args):
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spec, f = load_data()
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line.set_ydata(spec)
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return [line]
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anim = FuncAnimation(fig, update, interval=500)
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pp.show()
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@ -7,12 +7,15 @@ import matplotlib.pyplot as pp
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with open(sys.argv[1], 'rb') as infile:
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header = infile.read(4)
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if header != b'CPX_':
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print(f"Error: not a complex signal file. Format {header} not implemented yet.")
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exit(1)
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if header == b'CPX_':
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T = np.fromfile(infile, dtype=np.float32, count=1)
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data = np.fromfile(infile, dtype=np.complex64)
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elif header == b'FLT_':
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T = np.fromfile(infile, dtype=np.float32, count=1)
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data = np.fromfile(infile, dtype=np.float32)
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else:
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print(f"Error: Format {header} not implemented yet.")
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exit(1)
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t = np.arange(0, T*data.size, T)
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