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)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
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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
y [au]
40
30
20
10
0-
-10
-20
-2
0
+
-N
2
Mysterious Data
4
x [au]
6
*
- co
8
+ experimental
10
Transcribed Image Text:y [au] 40 30 20 10 0- -10 -20 -2 0 + -N 2 Mysterious Data 4 x [au] 6 * - co 8 + experimental 10
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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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