plot_results.ipynb
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In [1]:
import numpy as np
import matplotlib.pyplot as plt
import glob
import pandas as pds
In [4]:
for folder in glob.glob("./2016*"):
inputsig = pds.read_csv(folder+"/input.txt",sep=" ",header=None)
inputsig.columns=[ "CH{}".format(i) for i in range(inputsig.shape[1])]
outputsig = pds.read_csv(folder+"/output_fx.txt",sep=" ",header=None)
outputsig.columns=["Tstamp"]+[ "CH{}".format(i) for i in range(outputsig.shape[1]-1)]
f, axarr = plt.subplots(1,2,figsize=(14, 6))
(outputsig.filter(regex="CH*")- inputsig*0.8912)[150:].plot(ax=axarr[0])
axarr[0].legend(loc='upper right')
(outputsig.filter(regex="CH*")[:100]/0.8912).plot(ax=axarr[1])
axarr[1].legend(loc='upper right')
plt.show()
