Initialize Array function: Difference between revisions
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[[File:Initialize Array - Terminals.png|thumb|Initialize Array function]] | [[File:Initialize Array - Terminals.png|thumb|Initialize Array function]] | ||
{{LabVIEW Palette Object Information|palette=Functions Palette/Programming/Array{{!}}Array palette|type=function|icon=Initialize Array.png}} | |||
The '''Initialize Array''' function creates an array in which each element is initialized to the specified value. | |||
== Usage == | == Usage == | ||
Connect an element of any data type to the '''element''' input terminal and specify the desired dimension size at '''dimension size 0'''. This creates a new array with the specified number of elements, in which each element is initialized to the specified value. | |||
[[File:Initialize Array - Create Array From Element.png]] | |||
Create multidimensional arrays by dragging the upper or lower side of the node. The node can be resized for up to 1997 dimensions. | |||
[[File:Initialize Array - Create Multidimensional Array.png]] | |||
== Best practice == | == Best practice == | ||
* For large data sets, use the '''Initialize Array''' function to reserve memory and [[Replace Array Subset function|Replace Array Subset]] to replace elements. | |||
== See also == | == See also == | ||
* [[Build Array function]] | |||
[[Category:Array Palette]] | [[Category:Array Palette]] | ||
Latest revision as of 12:04, 29 June 2020
| Object information | |
|---|---|
| Owning palette(s) | Array palette |
| Type | Function |
| Requires | Basic Development Environment |
| Icon |  |
The Initialize Array function creates an array in which each element is initialized to the specified value.
Usage
Connect an element of any data type to the element input terminal and specify the desired dimension size at dimension size 0. This creates a new array with the specified number of elements, in which each element is initialized to the specified value.
Create multidimensional arrays by dragging the upper or lower side of the node. The node can be resized for up to 1997 dimensions.
Best practice
- For large data sets, use the Initialize Array function to reserve memory and Replace Array Subset to replace elements.