signals
Package to ease the processing of signals.
Installation
pip install git+https://github.com/SengerM/signals
Usage
Simple example:
from signals.PeakSignal import PeakSignal, draw_in_plotly
pulse = PeakSignal(
time = [3.5e-08, 3.505e-08, 3.51e-08, 3.515e-08, 3.5200000000000004e-08, 3.525e-08, 3.5300000000000005e-08, 3.535e-08, 3.54e-08, 3.545e-08, 3.55e-08, 3.5550000000000004e-08, 3.56e-08, 3.5650000000000005e-08, 3.57e-08, 3.575e-08, 3.58e-08, 3.585e-08, 3.5900000000000004e-08, 3.595e-08, 3.6000000000000005e-08, 3.605e-08, 3.61e-08, 3.615e-08, 3.62e-08, 3.6250000000000004e-08, 3.63e-08, 3.6350000000000005e-08, 3.64e-08, 3.6450000000000005e-08, 3.65e-08, 3.655e-08, 3.6600000000000003e-08, 3.665e-08, 3.6700000000000004e-08, 3.675e-08, 3.6800000000000005e-08, 3.685e-08, 3.69e-08, 3.695e-08, 3.7e-08, 3.7050000000000004e-08, 3.71e-08, 3.7150000000000005e-08, 3.72e-08, 3.725e-08, 3.73e-08, 3.735e-08, 3.7400000000000004e-08, 3.745e-08, 3.7500000000000005e-08, 3.755e-08, 3.7600000000000006e-08, 3.765e-08, 3.77e-08, 3.7750000000000004e-08, 3.78e-08, 3.7850000000000005e-08, 3.79e-08, 3.7950000000000006e-08, 3.8e-08, 3.805e-08, 3.8100000000000004e-08, 3.815e-08, 3.8200000000000005e-08, 3.825e-08, 3.8300000000000005e-08, 3.835e-08, 3.84e-08, 3.8450000000000004e-08, 3.85e-08, 3.8550000000000004e-08, 3.86e-08, 3.8650000000000005e-08, 3.87e-08, 3.875e-08, 3.8800000000000003e-08, 3.885e-08, 3.8900000000000004e-08, 3.895e-08, 3.9000000000000005e-08, 3.905e-08, 3.91e-08, 3.915e-08, 3.92e-08, 3.9250000000000004e-08, 3.93e-08, 3.9350000000000005e-08, 3.94e-08, 3.945e-08, 3.95e-08, 3.955e-08, 3.9600000000000004e-08, 3.965e-08, 3.9700000000000005e-08, 3.975e-08, 3.98e-08, 3.985e-08, 3.99e-08, 3.9950000000000004e-08, 4e-08, 4.0050000000000005e-08, 4.01e-08, 4.015e-08, 4.02e-08, 4.025e-08, 4.0300000000000004e-08, 4.035e-08, 4.0400000000000004e-08, 4.045e-08, 4.05e-08, 4.055e-08, 4.06e-08, 4.0650000000000003e-08, 4.07e-08, 4.0750000000000004e-08, 4.08e-08, 4.0850000000000005e-08, 4.09e-08, 4.0950000000000006e-08, 4.1e-08, 4.105e-08, 4.1100000000000004e-08, 4.115e-08, 4.1200000000000005e-08, 4.125e-08, 4.1300000000000006e-08, 4.135e-08, 4.14e-08, 4.1450000000000004e-08, 4.15e-08, 4.1550000000000005e-08, 4.16e-08, 4.1650000000000006e-08, 4.17e-08, 4.175e-08, 4.1800000000000004e-08, 4.185e-08, 4.1900000000000005e-08, 4.195e-08, 4.2000000000000006e-08, 4.205e-08, 4.21e-08, 4.2150000000000004e-08, 4.22e-08, 4.2250000000000004e-08, 4.23e-08, 4.2350000000000005e-08, 4.24e-08, 4.245e-08, 4.2500000000000003e-08, 4.255e-08, 4.2600000000000004e-08, 4.265e-08, 4.2700000000000005e-08, 4.275e-08, 4.28e-08, 4.285e-08, 4.29e-08, 4.2950000000000004e-08, 4.3e-08, 4.3050000000000005e-08, 4.31e-08, 4.315e-08, 4.32e-08, 4.325e-08, 4.3300000000000004e-08, 4.335e-08, 4.3400000000000005e-08, 4.345e-08, 4.35e-08, 4.355e-08, 4.36e-08, 4.3650000000000004e-08, 4.37e-08, 4.3750000000000005e-08, 4.38e-08, 4.385e-08, 4.39e-08, 4.3950000000000006e-08, 4.4000000000000004e-08, 4.405e-08, 4.4100000000000004e-08, 4.415e-08, 4.42e-08, 4.425e-08, 4.4300000000000006e-08, 4.4350000000000003e-08, 4.44e-08, 4.4450000000000004e-08, 4.45e-08, 4.455e-08, 4.46e-08, 4.4650000000000006e-08, 4.47e-08, 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4.8000000000000006e-08, 4.8050000000000003e-08, 4.81e-08, 4.8150000000000004e-08, 4.82e-08, 4.825e-08, 4.83e-08, 4.8350000000000006e-08, 4.84e-08, 4.845e-08, 4.8500000000000004e-08, 4.855e-08, 4.86e-08, 4.865e-08, 4.8700000000000006e-08, 4.875e-08, 4.88e-08, 4.8850000000000004e-08, 4.89e-08, 4.895e-08, 4.9e-08, 4.9050000000000006e-08, 4.91e-08, 4.915e-08, 4.9200000000000004e-08, 4.925e-08, 4.9300000000000005e-08, 4.935e-08, 4.9400000000000006e-08, 4.945e-08, 4.95e-08, 4.9550000000000004e-08, 4.96e-08, 4.9650000000000005e-08, 4.97e-08, 4.9750000000000005e-08, 4.98e-08, 4.985e-08, 4.9900000000000003e-08, 4.995000000000001e-08, 5e-08, 5.005e-08, 5.0100000000000005e-08, 5.015e-08, 5.02e-08, 5.025e-08, 5.030000000000001e-08, 5.035e-08, 5.04e-08, 5.0450000000000005e-08, 5.05e-08, 5.055e-08, 5.06e-08, 5.065000000000001e-08, 5.0700000000000004e-08, 5.075e-08, 5.0800000000000005e-08, 5.085e-08, 5.09e-08, 5.095e-08, 5.100000000000001e-08, 5.1050000000000004e-08, 5.11e-08, 5.1150000000000005e-08, 5.12e-08, 5.125e-08, 5.13e-08, 5.1350000000000007e-08, 5.1400000000000004e-08, 5.145e-08, 5.1500000000000005e-08, 5.155e-08, 5.16e-08, 5.165e-08, 5.1700000000000006e-08, 5.1750000000000003e-08, 5.18e-08, 5.1850000000000004e-08, 5.19e-08, 5.195e-08, 5.2e-08, 5.2050000000000006e-08, 5.21e-08, 5.215e-08, 5.2200000000000004e-08, 5.225e-08, 5.23e-08, 5.235e-08, 5.2400000000000006e-08, 5.245e-08, 5.25e-08, 5.2550000000000004e-08, 5.26e-08, 5.265e-08, 5.27e-08, 5.2750000000000006e-08, 5.28e-08, 5.285e-08, 5.2900000000000004e-08, 5.295e-08, 5.3e-08, 5.305e-08, 5.3100000000000006e-08, 5.315e-08, 5.32e-08, 5.3250000000000004e-08, 5.33e-08, 5.335e-08, 5.34e-08, 5.3450000000000005e-08, 5.35e-08, 5.355e-08, 5.3600000000000004e-08, 5.365000000000001e-08, 5.37e-08, 5.375e-08, 5.3800000000000005e-08, 5.385e-08, 5.39e-08, 5.3950000000000003e-08, 5.400000000000001e-08, 5.405e-08, 5.41e-08, 5.4150000000000005e-08, 5.42e-08, 5.425e-08, 5.43e-08, 5.435000000000001e-08, 5.44e-08, 5.445e-08, 5.4500000000000005e-08, 5.455e-08, 5.46e-08, 5.465e-08, 5.470000000000001e-08, 5.4750000000000004e-08, 5.48e-08, 5.4850000000000005e-08, 5.49e-08, 5.495e-08, 5.5e-08, 5.5050000000000007e-08, 5.5100000000000004e-08, 5.515e-08, 5.5200000000000005e-08, 5.525e-08, 5.53e-08, 5.535e-08, 5.5400000000000006e-08, 5.5450000000000004e-08, 5.55e-08, 5.5550000000000004e-08, 5.56e-08, 5.565e-08, 5.57e-08, 5.5750000000000006e-08, 5.5800000000000003e-08, 5.585e-08, 5.5900000000000004e-08, 5.595e-08, 5.6e-08, 5.605e-08, 5.6100000000000006e-08, 5.615e-08, 5.62e-08, 5.6250000000000004e-08, 5.63e-08, 5.635e-08, 5.64e-08, 5.6450000000000006e-08, 5.65e-08, 5.655e-08, 5.6600000000000004e-08, 5.665e-08, 5.67e-08, 5.675e-08, 5.6800000000000006e-08, 5.685e-08, 5.69e-08, 5.6950000000000004e-08, 5.7e-08, 5.705e-08, 5.71e-08, 5.7150000000000006e-08, 5.72e-08, 5.725e-08, 5.7300000000000004e-08, 5.735000000000001e-08, 5.74e-08, 5.745e-08, 5.7500000000000005e-08, 5.755e-08, 5.76e-08, 5.7650000000000003e-08, 5.770000000000001e-08, 5.775e-08, 5.78e-08, 5.7850000000000005e-08, 5.79e-08, 5.795e-08, 5.8e-08, 5.805000000000001e-08, 5.81e-08, 5.815e-08, 5.8200000000000005e-08, 5.825e-08, 5.83e-08, 5.835e-08, 5.840000000000001e-08, 5.8450000000000004e-08, 5.85e-08, 5.8550000000000005e-08, 5.86e-08, 5.865e-08, 5.87e-08, 5.8750000000000007e-08, 5.8800000000000004e-08, 5.885e-08, 5.8900000000000005e-08, 5.895e-08, 5.9e-08, 5.905e-08, 5.9100000000000006e-08, 5.9150000000000004e-08, 5.92e-08, 5.9250000000000004e-08, 5.93e-08, 5.935e-08, 5.94e-08, 5.9450000000000006e-08, 5.9500000000000003e-08, 5.955e-08, 5.9600000000000004e-08, 5.965000000000001e-08, 5.97e-08, 5.975e-08, 5.98e-08, 5.985e-08, 5.99e-08, 5.995e-08, 6.000000000000001e-08, 6.005e-08, 6.01e-08, 6.015e-08, 6.02e-08, 6.025e-08, 6.03e-08, 6.035000000000001e-08, 6.04e-08, 6.045e-08, 6.05e-08, 6.055e-08, 6.06e-08, 6.065e-08, 6.070000000000001e-08, 6.075e-08, 6.08e-08, 6.085e-08, 6.09e-08, 6.095e-08, 6.1e-08, 6.105000000000001e-08, 6.11e-08, 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-0.20840000000000003, -0.20840000000000003, -0.20840000000000003, -0.20640000000000003, -0.20440000000000003, -0.20440000000000003, -0.20640000000000003, -0.20640000000000003, -0.20840000000000003, -0.20840000000000003, -0.20840000000000003, -0.20840000000000003, -0.20840000000000003, -0.20640000000000003, -0.20440000000000003, -0.20440000000000003, -0.20440000000000003, -0.20640000000000003, -0.20640000000000003, -0.20640000000000003, -0.20440000000000003, -0.20240000000000002, -0.20240000000000002, -0.20240000000000002, -0.20440000000000003, -0.20440000000000003, -0.20440000000000003, -0.20440000000000003, -0.20240000000000002, -0.2004, -0.2004],
)
print(f'Amplitude = {pulse.amplitude}')
print(f'Noise = {pulse.noise}')
print(f'Integral = {pulse.peak_integral}')
fig = draw_in_plotly(pulse)
fig.update_layout(
title = "My signal",
xaxis_title = "Time (s)",
yaxis_title = "Amplitude (V)",
)
fig.show()
fig.write_html('example.html', include_plotlyjs="cdn")The previous code produces this plot:
