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