Friends, I want to plot the autocorrelation of my data as a function of time as given in the following link, with autocorrelation coef in Y axis and Time in x-axis.
http://www.itl.nist.gov/div898/handbook/eda/section3/autocopl.htm I used the following code to achieve the same using the acorr function. But the acorr function doesnt seem to plot the autocorrelation coef. as a function of time. Why is it so ?. The output figure is attached. I want to plot the time dependent decay of my values. import matplotlib.pyplot as plt import numpy as np data1=np.loadtxt('oe_short.dat',usecols=(5,)) data2=np.loadtxt('7o_short.dat',usecols=(5,)) #Assignments FIG=plt.figure(figsize=(4.0,2.5),dpi=50) FIG.subplots_adjust(hspace=0.15) NR=1;NC=1 cols=['black','red'] ax1=FIG.add_subplot(NR,NC,1) ax1.xcorr(data1,data1,color=cols[0],usevlines=False) ax1.acorr(data2,color=cols[1],usevlines=False) plt.savefig('auto.png',dpi=50) plt.show() -- C. Balasubramanian
<<attachment: auto.png>>
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