F0 IIR Simulations¶

import numpy as np
import matplotlib.pyplot as plt
import glob 
import pandas as pds

inputsig = pds.read_csv("./2016-11-05_01-35-28/input.txt",sep=" ",header=None)
inputsig.columns=[ "CH{}".format(i) for i in range(inputsig.shape[1])]
outputsig = pds.read_csv("./2016-11-05_01-35-28/output_fx.txt",sep=" ",header=None)
outputsig.columns=["Tstamp"]+[ "CH{}".format(i) for i in range(outputsig.shape[1]-1)]

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()