45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import tdm_ripper
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import numpy as np
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import matplotlib.pyplot as plt
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tdmpath = b"samples/SineData.tdm"
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tdxpath = b"samples/SineData.tdx"
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# create instance of ripper class
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RP = tdm_ripper.pytdmripper(tdmpath)
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# provide overview of available channels
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RP.show_channels()
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print(RP.num_channels())
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print(RP.num_groups())
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# print particular channel to file
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RP.print_channel(1,b"SineData_extract.dat")
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# extract channel and return it to numpy array
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channels = RP.get_channel(1)
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Nlen = len(channels)
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channels = np.append(channels,RP.get_channel(2))
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channels = np.append(channels,RP.get_channel(3))
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channels = np.append(channels,RP.get_channel(4))
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channels = np.append(channels,RP.get_channel(5))
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channels = np.append(channels,RP.get_channel(6))
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channels = np.append(channels,RP.get_channel(7))
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channels = np.append(channels,RP.get_channel(8))
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print(channels.shape)
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print("\n\n")
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print(channels[0:40])
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x = np.linspace(0,Nlen,Nlen)
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plt.plot(x,channels[0:1000])
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plt.plot(x,channels[1000:2000])
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plt.plot(x,channels[2000:3000])
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plt.plot(x,channels[3000:4000])
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plt.plot(x,channels[4000:5000])
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plt.plot(x,channels[5000:6000])
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plt.plot(x,channels[6000:7000])
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plt.plot(x,channels[7000:8000])
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plt.grid()
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plt.show()
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