LabVIEW
array pattern trend
If there is no other occurrence of the first element value, you have one repeat with a size of the original array size.
Overall, you need to be much more precise with the specifications. For example:
- Are all elements in a single repeat always unique or do you allow duplicates? (e.g. (1-1-2-3-4-1-1-2-3-4-1-1-2-3-4-...)
- Are all repeats identical or do you allow small variations?
- Is the array size always a multiple of the pattern lenght or could the last pattern be truncated?
- What is the desired result for an empty array input?
- Is NaN allowed as an element?
Isn't your point #2 a contradiction? If you allow small variations, they won't be identical. Define what you mean by "small"! Is it sufficient to round points with small deviations to the nearest grid point? Are the grid point always whole numbers?
Pictures are useless! Why don't you make our life easier and attach the actual (or simplified) VIs containing typical data in diagram constants (that you already seem to have!). Do you really expect us to re-create everything from an image? We have better things to do!
I also don't understand your graphs, because they don't look very parametric. It looks more like a plain 3D surface graph with an x,y grid (represented as two 1D vectors) and a z height. What do you actually want to see???
I am so sorry to have caused inconvient to you. Okay, I will just say that my repeats are identical.
You are right " It looks more like a plain 3D surface graph with an x,y grid (represented as two 1D vectors) and a z height.". I just want to look at the surface and the point.
There are many ways to do this, so here's one possibility. See if it works for you. Most likely it needs to be adapted to the specific requirements.
(Also note that your use of string diagram constants as labels is a bit awkward. You can show the label of diagram constants and enter useful information there. This has the advantage that things stay together.)
The above assumes that the data in the input array might not be regular (e.g. only cover a circular area or similar). In the case if very regular data as in your example data, the code could be much simpler. Try it!
