Python Block with Vectors: Difference between revisions

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* Vector to Stream, Num Items: vectorLength
* Vector to Stream, Num Items: vectorLength
* QT GUI Time Sink (both copies), Autoscale: Yes
* QT GUI Time Sink (both copies), Autoscale: Yes
Connect the blocks according to the following flowgraph:
[[File:PythonVectorStartingFlowgraph.png|700px]]

Revision as of 14:03, 31 January 2022

Template:TutorialNavigation

This tutorial describes how the Python Embedded Block can be modified to accept vector inputs and outputs, and how the input_items vector indexing is different between vectors and streams.

The previous tutorial, Creating Your First Block, demonstrates how to create a Python block using the Embedded Python Block. The next tutorial, Python Block Message Passing describes how to send and receive messages using the Embedded Python Block.

Building the flowgraph

This tutorial uses vectors, please complete the Streams and Vectors tutorial before moving on.

Add the following blocks to the flowgraph:

  • Signal Source
  • Throttle
  • Stream to Vector
  • Embedded Python Block
  • Vector to Stream
  • QT GUI Time Sink (two copies)
  • Variable

Modify the following block properties:

  • Signal Source, Frequency: 100
  • Variable
    • Id: vectorLength
    • Value: 16
  • Stream to Vector, Num Items: vectorLength
  • Vector to Stream, Num Items: vectorLength
  • QT GUI Time Sink (both copies), Autoscale: Yes

Connect the blocks according to the following flowgraph:

PythonVectorStartingFlowgraph.png