Write a Python function for reading the data below and make the following plot. #Measurements of arbitrary quantity #(abscissa, ordinate) [xau x yau] n_pts = 26 -2.00 -9.37 -1.00 +10.00 -1.14 +10.83 -0.29 -13.88 +0.00 -18.00 +0.57 -1.83 +1.00 +14.00 +1.43 +14.5 +2.00 +0.00 +2.29 -1.38 +3.00 +28.00 +3.14 +35.64 +4.00 +37.88 +5.00 -23.00 +4.86 -17.52 +5.71 -14.63 +6.00 -1.00 +6.50 -15.00 +6.57 -1.73 +7.00 +12.00 +7.43 +5.97 +7.50 +2.00 +8.29 +22.78 +9.00 +1.00 +9.14 -6.41 +10.0 -9.37
Write a Python function for reading the data below and make the following plot. #Measurements of arbitrary quantity #(abscissa, ordinate) [xau x yau] n_pts = 26 -2.00 -9.37 -1.00 +10.00 -1.14 +10.83 -0.29 -13.88 +0.00 -18.00 +0.57 -1.83 +1.00 +14.00 +1.43 +14.5 +2.00 +0.00 +2.29 -1.38 +3.00 +28.00 +3.14 +35.64 +4.00 +37.88 +5.00 -23.00 +4.86 -17.52 +5.71 -14.63 +6.00 -1.00 +6.50 -15.00 +6.57 -1.73 +7.00 +12.00 +7.43 +5.97 +7.50 +2.00 +8.29 +22.78 +9.00 +1.00 +9.14 -6.41 +10.0 -9.37
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Write a Python function for reading the data below and make the following plot.
#Measurements of arbitrary quantity |
#(abscissa, ordinate) [xau x yau] |
n_pts = 26 |
-2.00 -9.37 |
-1.00 +10.00 |
-1.14 +10.83 |
-0.29 -13.88 |
+0.00 -18.00 |
+0.57 -1.83 |
+1.00 +14.00 |
+1.43 +14.5 |
+2.00 +0.00 |
+2.29 -1.38 |
+3.00 +28.00 |
+3.14 +35.64 |
+4.00 +37.88 |
+5.00 -23.00 |
+4.86 -17.52 |
+5.71 -14.63 |
+6.00 -1.00 |
+6.50 -15.00 |
+6.57 -1.73 |
+7.00 +12.00 |
+7.43 +5.97 |
+7.50 +2.00 |
+8.29 +22.78 |
+9.00 +1.00 |
+9.14 -6.41 |
+10.0 -9.37 |
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Fit the data with the linear least-squares fit method using Fourier basis functions. Use 5 pairs of sines and cosines and create the plots/results below. kindly explain the procedure and results.
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