50 lines
2.8 KiB
Python
50 lines
2.8 KiB
Python
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readings = [
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4.974127e-10, -1.418591e-12, -1.573563e-12, -1.728535e-12, -1.704693e-12,
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-1.847744e-12, -1.931190e-12, -1.788139e-12, -1.871586e-12, -2.169609e-12,
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-2.074242e-12, -1.895428e-12, -1.895428e-12, -1.776218e-12, -1.990795e-12,
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-1.788139e-12, -1.811981e-12, -1.657009e-12, -1.573563e-12, -2.396107e-12,
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-2.515316e-12, -2.765656e-12, -2.825260e-12, -3.147125e-12, -2.300739e-12,
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-2.825260e-12, -3.278255e-12, -5.257130e-12, -6.818771e-12, -8.916855e-12,
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-7.712841e-12, 6.437302e-12, -1.142025e-11, -1.206398e-11, -4.649043e-10,
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-3.427613e-09, -2.460408e-09, -2.340376e-09, -1.306653e-10, 1.496077e-11,
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2.933741e-11, 1.953280e-09, 8.579970e-10, 9.226799e-12, -1.095533e-11,
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-2.508163e-11, -2.776039e-09, -8.686423e-09, 4.935264e-12, 1.246929e-11,
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3.225744e-09, 2.814472e-09, 1.877034e-09, 2.229273e-09, 1.713574e-09,
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8.355618e-10, -4.332781e-10, 5.896091e-11, 5.762577e-11, 8.129537e-09,
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4.044378e-09, 1.771629e-09, 7.849216e-10, 4.098892e-10, 3.390551e-10,
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2.956390e-10, 3.033876e-10, 1.716256e-10, 1.463890e-11, -5.078316e-12,
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-6.949902e-12, -8.106232e-12, -6.473065e-12, -4.506111e-12, 4.919767e-11,
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3.052297e-08, 1.161162e-08, -9.892106e-09, -3.613818e-09, -5.004287e-09,
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-2.015829e-11, -4.183054e-11, -1.810908e-10, -2.042532e-10, -3.516316e-10,
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5.099773e-11, 1.921976e-08, -1.256589e-08, -4.242897e-10, -1.358986e-12,
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-3.445148e-12, -3.838539e-12, -4.184246e-12, -7.402897e-12, -2.840877e-10,
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-2.872229e-10, -2.730966e-10, -1.134396e-10, -4.376173e-11, -3.576279e-14
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]
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timestamps = [
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0. , 0.05 , 0.1 , 0.15, 0.2, 0.25, 0.3, 0.35,
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0.4 , 0.45 , 0.5 , 0.55, 0.6, 0.65, 0.7, 0.75,
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0.8 , 0.85 , 0.9 , 0.95, 1. , 1.05, 1.1, 1.15,
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1.2 , 1.25 , 1.3 , 1.35, 1.4, 1.45, 1.5, 1.55,
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1.6 , 1.690891, 1.710923, 1.75, 1.8, 1.85, 1.9, 1.95,
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2. , 2.05 , 2.1 , 2.15, 2.2, 2.25, 2.3, 2.35,
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2.420332, 2.45 , 2.5 , 2.55, 2.6, 2.65, 2.7, 2.75,
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2.820553, 2.890843, 2.910875, 2.95, 3. , 3.05, 3.1, 3.15,
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3.2 , 3.25 , 3.3 , 3.35, 3.4, 3.45, 3.5, 3.55,
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3.6 , 3.65 , 3.7 , 3.75, 3.8, 3.85, 3.9, 3.95,
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4. , 4.05 , 4.1 , 4.15, 4.2, 4.25, 4.3, 4.35,
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4.4 , 4.45 , 4.5 , 4.55, 4.6, 4.65, 4.7, 4.75,
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4.8 , 4.85 , 4.9 , 4.95, ]
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import pandas as pd
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import numpy as np
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import scipy as sp
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import matplotlib.pyplot as plt
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df = pd.DataFrame(np.vstack((timestamps, readings)).T)
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df.columns = ["Time [s]", "Voltage [V]"]
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print(df)
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df.to_csv("test.csv", sep=",", header=True, index=False)
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df.plot(x='Time [s]', y="Voltage [V]")
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plt.show()
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