1) I want load large amount of experiment data (distance for x-axis, velocity for y-axis).
2) Find and load the closest to 1m on the x-axis, and also the corresponding the velocity in y-axis.
3) Find and load the closest to 2m on the x-axis, and also the corresponding the velocity in y-axis.
4) Find and load the closest to 3m on the x-axis, and also the corresponding the velocity in y-axis.
I want to rearrange the experiment data with regular intevals as above.
Please help..
x_distance y_velocity
0.52299 0.000237
1.04598 0.041598
1.56897 0.005755
2.09196 0.012987
2.614949 0.009894
3.137939 0.050168
3.660929 0.00584
4.183919 0.045582
4.706909 0.00007
5.229899 0.054282
5.752889 0.002132
6.275879 2.508755
6.798868 3.193212
7.321858 3.460158
7.844848 3.206859
8.367838 2.923524
8.890828 2.23533
9.413818 1.127799
9.936808 0.429399
10.459798 0.814943

 Réponse acceptée

KALYAN ACHARJYA
KALYAN ACHARJYA le 8 Déc 2020
Modifié(e) : KALYAN ACHARJYA le 8 Déc 2020
Hints:
data=[0.52299 0.000237
1.04598 0.041598
1.56897 0.005755
2.09196 0.012987
2.614949 0.009894
3.137939 0.050168
3.660929 0.00584
4.183919 0.045582
4.706909 0.00007
5.229899 0.054282
5.752889 0.002132
6.275879 2.508755
6.798868 3.193212
7.321858 3.460158
7.844848 3.206859
8.367838 2.923524
8.890828 2.23533
9.413818 1.127799
9.936808 0.429399
10.459798 0.814943];
Next: Distance for x-axis, velocity for y-axis
x_distance=data(:,1);
y_velocity=data(:,2);
Next: "Find and load the closest to 1m on the x-axis, and also the corresponding the velocity in y-axis."
What does the 1m menas?
Is that closset between x_distance & y_velocity?? If so, then
close_1m=x_distance-y_velocity;
Then finding the correcponding index
idx=find(close_1m==min(close_1m))
If you are looking for finding close in between in the same array, then you can use diff function
Please do the rest part by yourself.
:)

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