| T O P I C R E V I E W |
| ssv68 |
Posted - 07/07/2005 : 04:49:07 AM
Origin Version (Select Help-->About Origin): 7.0
Operating System: WinXP
Hi everybody!
I have a data (Z) depending on two parameters (X,Y).
X and Y are the same length, but not uniform!
Another words, steps by X and Y are different and not regular.
I need to represent this data in 2D plot Z(X,Y).
I have tried the option "Convert to matrix -> Random XYZ", but Origin fills ALL fields in matrix, equating these fields to some data from Z!! But I need the sparse matrix to show direct evolution of Z in (X,Y).
Who has ideas?
Thanks in advance |
| 4 L A T E S T R E P L I E S (Newest First) |
| ssv68 |
Posted - 07/11/2005 : 12:43:37 PM
Thaks all for replies!!
Really I have found more simple solution for representation such data.
Just mark Z data as Y, than plot (XYY) as 'Color Mapped'.
One has evolution of Z in X,Y shown as color symbols, and color of symbols changes according to Z scale.
Thats it! |
| easwar |
Posted - 07/07/2005 : 09:46:13 AM
Hi ssv68,
The Sparse conversion method works only for datasets where X, Y are regularly spaced, but not all possible X,Y pairs are present. Then the resulting matrix will have missing values for Z for all missing X,Y pairs.
In your case the X, Y values are not regularly spaced and so you need to use one of the Random XYZ conversion methods. These methods take the irregular data and perform grid computation to generate regularly spaced X, Y values and find the corresponding Z values from the grid computation. The original X, Y, Z values in your raw data therefore will not be present in the gridded result.
Easwar
OriginLab
|
| ssv68 |
Posted - 07/07/2005 : 09:26:13 AM
quote:
Try this:
When Z column is highlighted, select menu: Edit -> Convert to Matrix -> Sparse XYZ.
I did it already. Origin hangs the message "Incompatible values." The reason - Sparse matrix can be created only for uniform X,Y |
| Leo_Li |
Posted - 07/07/2005 : 04:58:48 AM
Try this:
When Z column is highlighted, select menu: Edit -> Convert to Matrix -> Sparse XYZ. |
|
|
