Contents
  1. Arrays
  2. Clusters

LabVIEW Study Notes: LabVIEW Study Notes (I): Basic Introduction LabVIEW Study Notes (II): Filter Experiment LabVIEW Study Notes (III): Basic Controls LabVIEW Study Notes (IV): Dynamic Data Types LabVIEW Study Notes (V): Comprehensive Data Type Experiment LabVIEW Study Notes (VI): While Loops and For Loops LabVIEW Study Notes (VII): Variables and Shift Registers LabVIEW Study Notes (VIII): Property Nodes LabVIEW Study Notes (IX): Arrays and Clusters LabVIEW Study Notes (X): Case Structures Other Experiment Records

Arrays

  1. Array: When processing a series of similar data and performing repeated calculations, consider using an Array. An Array groups data elements of the same type.
  2. How to create one: Place an Array shell on the front panel and drag a data object or element into the shell to create an Array.
  3. Array composition: （1） Elements: the data that make up the Array （2）b. Dimension: the length, height, and depth of the Array (an Array can be one-dimensional or multidimensional; when memory allows, each dimension can have up to (2^31)-1 elements)
  4. Array initialization （1） Enter elements directly on the front panel to initialize. （2） Use a loop; for example, the indexed output of a For Loop is an Array （3）c. Array initialization functions （Note: Uninitialized elements have dimensions only and contain no elements）
  5. Array functions: Operations including Array Size, Index Array, Build Array, Array Max & Min, Sort, and Split Array can all be performed with Array functions. Arrays

Clusters

  1. Clusters and Arrays: A Cluster groups data elements of different types. Unlike an Array, a Cluster has a fixed size and can contain different data types, whereas an Array can contain only one data type.
  2. How to create a Cluster （1） Place a Cluster shell on the front panel （2） Drag data objects or elements into the Cluster shell; draggable objects include numeric, Boolean, string, path, refnum, Array, Cluster controls, and Cluster indicators
  3. Cluster order: The logical order of Cluster elements is independent of their positions inside the Cluster. Right-click the Cluster shell and choose Reorder Controls In Cluster from the shortcut menu Clusters
  4. Cluster functions: The most important Cluster functions are Bundle, which packs elements to create a Cluster, and Unbundle, which unpacks a Cluster to extract its elements Clusters (2)
  5. Error Cluster: （1） Can control the execution order of controls （2） Can also use an error Cluster to control loop termination
  6. Elements of a waveform Cluster （1） t0: timestamp （2） dt: the time interval of the Y data （3） Y: a set of data that changes over time