51 lines
1.6 KiB
Python
Executable File
51 lines
1.6 KiB
Python
Executable File
# -*- coding: utf-8 -*-
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"""
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Created on Thu Feb 15 17:59:51 2018
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@author: Hauke Brunken
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"""
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import matplotlib.pyplot as plt
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plt.close()
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import numpy as np
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import mdt
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file = r"C:\Users\Student\Desktop\Neuer Ordner\Aliasingfilter_mit_box"
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rates=[10000,44000]
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for rate in rates:
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data = mdt.dataRead(amplitude = 10, samplingRate = rate, duration = 1, channels = [0], resolution = 14, outType = 'Volt', continues=False )
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f,u = mdt.spectrum(data, rate)
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fig, (ax1,ax2) = plt.subplots(2)
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ax1.plot(data)
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ax2.plot(f,u)
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Title= "Alialising Rechtecksignal Filtered" +str(rate/1000) +"kHz"
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file_name = f"{file}_{rate}.csv"
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with open(file_name, 'w') as f:
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np.savetxt(f, data, delimiter=',')
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# np.save(Title, data)
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#plt.savefig('Alialasing' + strate + "Hz.pdf")
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#file = r"C:\Users\Student\Desktop\Neuer Ordner\Aliasing"
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#rates = [40000, 35000, 30000, 25000, 20000, 17500, 15000, 12500, 10000]
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#for i in range(len(rates)):
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# data = mdt.dataRead(amplitude=10, samplingRate=rates[i], duration=1, channels=[0], resolution=14, outType='Volt')
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# file_name = f"{file}_{rates[i]}.csv"
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# with open(file_name, 'w') as f:
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# np.savetxt(f, data, delimiter=',')
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#data = mdt.dataRead(amplitude=10, samplingRate=rates[len(rates)-1], duration=1, channels=[0], resolution=14, outType='Volt')
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#plt.plot(data, marker='x')
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#plt.show()
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#plt.tight_layout()
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#plt.show()
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#np.save("ADUKennlinie Sinussignal", data)
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#data = np.load("TP_5kOhm.npy")
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#plt.plot(data[0])
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#plt.plot(data[1])
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# hey ihr! holt euch euren eigenen code! |