version: 2020-03-31 or later
The CustomFunction module is designed to allow users to run their own python functions. The main purpose is to hand over measurement data from multiple modules to a function which takes care about calculating further parameters and about data processing. It can be used for many different purposes and is one basic opportunity to run individual python code.
The position of the CustomFunction module in the Sequencer is essential. It determines the amount of data that is handed over to the CustomFunction function.
A simplified rule is: Whenever a function of the CustomFunction module is called, all values generated since the last call of this function are handed over.
Adding a new function
- Add a CustomFunction module to the sequencer
- Go to the tab of the CustomFunction module
- Press "Copy selected function" and enter the name of the new function, it will be a copy of the example function.
- You can modify your new function using 'Open/Modify'
- Your new function can be found in the public folder '.\DataModules\CustomFunction\Functions'. This folder can also be found by using the button "Open folder".
- Edit the arguments of the function 'main' to add or remove further GUI items that are displayed to the user.
- Change the lists 'variables' and 'units' and return the corresponding values at the end of the function 'main'.
- Use the button 'Reload' to refresh the CustomFunction module after you did changed to your function.
Editing a Function
Inside the python file you have a class 'Main' with a function 'main'. The arguments of the function 'main' automatically define the user interface that is shown to the user inside the CustomFunction module. When modifying a function, the following points are important:
- variables: set a list of strings defining the names of your returned values
- units: set a list of strings defining the names of the units corresponding to variables
- variables and units need to have the same length as the number of returned values of your function 'main'
- Arguments/Input parameters: Define the names and the types of the input parameters according to the Function 'Example'. Basically, the arguments of the function 'main' automatically define the user interface fields that are shown in the CustomFunction module.
- change the returned values according to the definition of variables and units.
Don't forget to use the 'Reload' button to update changes.
- Data from SweepMe!: tuple -> () Please note: data is always handed over as numpy array, so please make sure you process the data correctly before you return it.
- Integer: int -> any integer number which will be the preset value
- Float: float -> any float value which will be the preset value
- String: str -> any string which will be the preset value
- List: list -> any list of strings which will be presented in ComboBox for selection by the user
- Bool: bool -> set to True or False; the user can later select using a CheckBox
- Directory: pathlib.Path(<directory>) -> an empty pathlib.Path object or a non-empty pathlib.Path object with a given directory <directory>. The user will see a QFileDialog to choose a folder.
- File: pathlib.Path(<file>) -> a non-empty pathlib.Path object with a given file <file>. The user will see a QFileDialog to choose a file.
Whenever CustomFunction is part of an iteration in a branch of the sequencer, the defined function 'main' is called with the given parameters and the defined variables must be returned. SweepMe! measurement values that are requested by using a tuple () as argument are automatically handed over as an array of the values that have been acquired since the last call CustomFunction. For example to get a single number from this array, one can take the item at the first index, e.g 'val' assuming that 'val' is the list that has been handed over. Please also take about care changing to the correct type beforehand.
Creating GUI widgets, e.g. by using PySide2 package, leads to a program crash as CustomFunction is running in the measurement thread of SweepMe! while GUI widgets must run in the main GUI thread of the program. For that reason, CustomFunction provides a GUI mode that can be enabled by using the function 'renew_widget' that takes care about exchanging Qwidget objects with the CustomFunction module. The function must be defined in class 'Main'. Please, use the function 'Example_GUI' to see how to use it.
def renew_widget(self, widget = None): """ gets the widget from the module and returns the same widget or creates a new one""" if widget is None: # if the widget has not been created so far, we create it now and store it as self.widget self.widget = Widget() else: # the second time a run is started, we can use the widget, that is handed over to renwe_widget, to store is as self.widget self.widget = widget # return the actual widget to inform the module which one has to be inserted into the DockWidget of the Dashboard return self.widget
As shown in the code snippet above, 'renew_widget' expects an argument 'widget' that is None at the very first call. Thus, one has to create a new QWidget-type object called here 'Widget()' that is set to 'self.widget' and returned at the end of the function. The second time 'renew_widget' is called, e.g. when a measurement is started again, the module CustomFunction hands over the last known Qwidget to 'renew_widget' and the widget can be set to 'self.widget' in order to make it available to other function of the class 'Main'.
Qwidget objects that are returned by 'renew_widget' are automatically placed into a QDockWidget that can be placed by the user into the dashboard. 'renew_widget' is called before every measurement and whenever the selected function is changed. Thus, it is also possible to store the layout of the dock widget to the setting. However, values that are entered in such custom widgets are not automatically saved to the setting file.
- Data smoothing
- Repetitive curve fitting and extraction of fit parameters
- Parameter extraction
- Specializing a measurement setup to certain needs
- pre-evaluation of the data
- using SweepMe! as a frontend for simulations
- Control loops, e.g. a PID controller
- creating output GUI widgets to display data
- creating input GUI widgets to let the user change a parameter
- Characteriztion of field-effect transistors: Transfer characteristics are measured in the linear regime. Current and voltage measurement data is handed over to the Evaluation module where charge carrier mobility and threshold voltage is extracted.
- Characterization of LEDs: Spectra and current-voltage characteristics can be handed over to the Evaluation module to calculate several device efficiency parameters.
- Calculation of peak values, zeroing, derivation, integral, mean, standard deviation, ...
- Creating a custom GUI widgets including a number of slider and input fields to control a certain process.
- Displaying several values in human-machine-interface (HMI) like way.