Fit a line to a set of points in 3D

Asked Feb 12 '21 at 16:31

Active Feb 12 '21 at 16:31

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I have a set of points in 3D (x, y and z over time). I use the answer#1 in the following link to fit a line to the set of 3D points.

Fitting a line in 3D

In the link above, the dimension of data (set of 3D points over time) is (120,3). I can generate the data. In the code however, one can only visualize the results. How do I get for example data_fit of the same dimension as data but now the fitted one.

Thanks.

asked Feb 12 '21 at 16:31

Lalu

Could you clarify what you want to get? An equation describing the line that has been fit? – Ari Cooper-Davis Feb 12 '21 at 16:43
yes. Either equation for 3 axis or directly an array "data_fitted". – Lalu Feb 12 '21 at 16:44
What would your `data_fitted` array contain? – Ari Cooper-Davis Feb 12 '21 at 16:47
points that are fitted – Lalu Feb 12 '21 at 16:54
More specifically, the blue line in the figure in the form of an array or equation. – Lalu Feb 12 '21 at 16:56
The answer tells you how to do that: `linepts = vv[0] * np.mgrid[-7:7:2j][:, np.newaxis]` then anchor it to a point on the line (i.e. the mean): `linepts += datamean`? – Ari Cooper-Davis Feb 12 '21 at 17:03
Let us [continue this discussion in chat](https://chat.stackoverflow.com/rooms/228639/discussion-between-lalu-and-ari-cooper-davis). – Lalu Feb 12 '21 at 17:04
np.mgrid[-7:7:2j][:, np.newaxis] ... i didnt understand `7:7:2j`. Is there no way to get the fitted data as the same dimension as `data`? – Lalu Feb 12 '21 at 17:07

Fit a line to a set of points in 3D

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