LabPlot/DataContainers/Matrix: Difference between revisions
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==Basic Concepts== | |||
Matrix is another container for matrix-like data. This container is presented like a table or, alternatively, as a two-dimensional greyscale image. The elements of such a table/matrix can be thought as being the$z$-values, $z=z(x,y)$, with $x$ and $y$ values being the row and column numbers, respectively. The transition from the row and column numbers to the logical coordinates is done via an explicit user-defined mapping of both representations. | Matrix is another container for matrix-like data. This container is presented like a table or, alternatively, as a two-dimensional greyscale image. The elements of such a table/matrix can be thought as being the$z$-values, $z=z(x,y)$, with $x$ and $y$ values being the row and column numbers, respectively. The transition from the row and column numbers to the logical coordinates is done via an explicit user-defined mapping of both representations. | ||
The matrix data can either be entered manually or via an import from an external file. | |||
Similar to the data generation for a column in a spreadsheet, the matrix can be filled with constant values or via a formula, too. | |||
Latest revision as of 12:04, 27 September 2020
Basic Concepts
Matrix is another container for matrix-like data. This container is presented like a table or, alternatively, as a two-dimensional greyscale image. The elements of such a table/matrix can be thought as being the$z$-values, $z=z(x,y)$, with $x$ and $y$ values being the row and column numbers, respectively. The transition from the row and column numbers to the logical coordinates is done via an explicit user-defined mapping of both representations.
The matrix data can either be entered manually or via an import from an external file. Similar to the data generation for a column in a spreadsheet, the matrix can be filled with constant values or via a formula, too.