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%pylab inline
import numpy as np
from matplotlib import pyplot as plt


    

    




Populating the interactive namespace from numpy and matplotlib

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data_type = np.dtype('>i2')


    

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# 17368 records of file 1
num_records_first_file = 24274
terminator = num_records_first_file*1024


    

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# Read in file
num_channels = 64
a = np.fromfile('raw.dat', dtype=data_type).reshape(-1, 64)


    

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plt.figure(figsize=(13, 8))
w = 5000
p = plot(a[terminator-w:terminator+w, :])
ylim(-10000, 10000)


    

    
Out[64]:





(-10000, 10000)






    

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print(a)


    

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