LabVIEW Error Codes

403420 - License Error

This rare error is raised when attempting to use the Home Edition of the Toolkit on a version of LabVIEW other than Home or Student Edition. To avoid this message, be sure to install the correct version of the Toolkit for your platform. See Downloading and Installation for more information.

403421 - Invalid Python installation

This error means you're attempting to use a Python installation which isn't supported by the Toolkit. Check the error source for more information. Typical reasons include an incorrectly configured default version of Python (see Picking the default Python installation), attempting to use a Python version other than one supported by the Toolkit, or Python is missing a core package like NumPy.

403422 - Invalid Python module

When using New Session, the provided Python module doesn't exist, isn't readable or raised a Python exception when loaded.

403423 - Can't connect to Python

A Toolkit VI such as Call or Get Value wasn't able to connect to the current Python session. This could mean Python crashed or an incorrect Session ID was supplied, or that Python is busy with another operation and the call timed out.

403424 - Unsupported data type

An attempt was made to Pack or Unpack a data type not supported by the Toolkit. To avoid this error use only supported types (strings, ints, floats, bools, and arrays of these types). Note that you will generally get 403427 - Python exception instead if returning an unsupported type from Python to LabVIEW. In this case the exception in question will be TypeError.

403425 - Packing error

Something went wrong when calling the Pack VI, other than an incorrect data type. Generally this means an invalid input is wired to the Python Object References In terminal.

403426 - Unpacking error

Something went wrong when calling the Unpack VI, other than an incorrect data type. Generally this means an invalid input is wired to the Python Object References In terminal.

403427 - Python exception

A Python exception occurred. Python exceptions can be raised by Python functions using Call, but also when using VIs like Get Value. For example, attempting to use Get Value on a non-existant Python variable will result in a Python AttributeError. Use Catch Exception to look for a specific Python exception by name.