Labview32

Wrapper around a 32-bit LabVIEW library.

Example of a server that loads a 32-bit LabVIEW library, labview_lib, in a 32-bit Python interpreter to host the library. The corresponding Labview64 class is created in a 64-bit Python interpreter and the Labview64 class sends requests to the Labview32 class which calls the 32-bit library to execute the request and then returns the response from the library.

Attention

This example requires that a 32-bit LabVIEW Run-Time Engine ≥ 2017 is installed and that the operating system is Windows.

Labview32

Labview32(host, port)

Bases: Server32

Wrapper around the 32-bit LabVIEW library, labview_lib.

Parameters:

Name	Type	Description	Default
host	str	The IP address (or hostname) to use for the server.	required
port	int	The port to open for the server.	required

Source code in src/msl/examples/loadlib/labview32.py

def __init__(self, host: str, port: int) -> None:
    """Wrapper around the 32-bit LabVIEW library, [labview_lib][labview-lib].

    Args:
        host: The IP address (or hostname) to use for the server.
        port: The port to open for the server.
    """
    path = Path(__file__).parent / "labview_lib32.dll"
    super().__init__(path, "cdll", host, port)

stdev

stdev(x, weighting=0)

Calculates the mean, variance and standard deviation of the values in the input x.

See the corresponding Labview64.stdev method.

Parameters:

Name	Type	Description	Default
x	Sequence[float]	The data to calculate the mean, variance and standard deviation of.	required
weighting	int	Whether to calculate the sample (weighting = 0) or the population (weighting = 1) standard deviation and variance.	0

Returns:

Type	Description
tuple[float, float, float]	The mean, variance and standard deviation.

Source code in src/msl/examples/loadlib/labview32.py

def stdev(self, x: Sequence[float], weighting: int = 0) -> tuple[float, float, float]:
    """Calculates the mean, variance and standard deviation of the values in the input `x`.

    See the corresponding [Labview64.stdev][msl.examples.loadlib.labview64.Labview64.stdev] method.

    Args:
        x: The data to calculate the mean, variance and standard deviation of.
        weighting: Whether to calculate the sample (`weighting = 0`) or the
            population (`weighting = 1`) standard deviation and variance.

    Returns:
        The mean, variance and standard deviation.
    """
    data = (c_double * len(x))(*x)
    mean, variance, std = c_double(), c_double(), c_double()
    self.lib.stdev(data, len(x), weighting, byref(mean), byref(variance), byref(std))
    return mean.value, variance.value, std.value