Parameter classes
The parameter classes are used to define input variables for a Procedure
. They each inherit from the Parameter
base class.
- class pymeasure.experiment.parameters.BooleanParameter(name, default=None, ui_class=None, group_by=None, group_condition=True)
Parameter
sub-class that uses the boolean type to store the value.- Variables
value – The boolean value of the parameter
- Parameters
name – The parameter name
default – The default boolean value
ui_class – A Qt class to use for the UI of this parameter
- convert(value)
Convert user input to python data format
Subclasses are expected to customize this method. Default implementation is the identity function
- Parameters
value – value to be converted
- Returns
converted value
- class pymeasure.experiment.parameters.FloatParameter(name, units=None, minimum=-1000000000.0, maximum=1000000000.0, decimals=15, step=None, **kwargs)
Parameter
sub-class that uses the floating point type to store the value.- Variables
value – The floating point value of the parameter
- Parameters
name – The parameter name
units – The units of measure for the parameter
minimum – The minimum allowed value (default: -1e9)
maximum – The maximum allowed value (default: 1e9)
decimals – The number of decimals considered (default: 15)
default – The default floating point value
ui_class – A Qt class to use for the UI of this parameter
step – step size for parameter’s UI spinbox. If None, spinbox will have step disabled
- convert(value)
Convert user input to python data format
Subclasses are expected to customize this method. Default implementation is the identity function
- Parameters
value – value to be converted
- Returns
converted value
- class pymeasure.experiment.parameters.IntegerParameter(name, units=None, minimum=-1000000000.0, maximum=1000000000.0, step=None, **kwargs)
Parameter
sub-class that uses the integer type to store the value.- Variables
value – The integer value of the parameter
- Parameters
name – The parameter name
units – The units of measure for the parameter
minimum – The minimum allowed value (default: -1e9)
maximum – The maximum allowed value (default: 1e9)
default – The default integer value
ui_class – A Qt class to use for the UI of this parameter
step – int step size for parameter’s UI spinbox. If None, spinbox will have step disabled
- convert(value)
Convert user input to python data format
Subclasses are expected to customize this method. Default implementation is the identity function
- Parameters
value – value to be converted
- Returns
converted value
- class pymeasure.experiment.parameters.ListParameter(name, choices=None, units=None, **kwargs)
Parameter
sub-class that stores the value as a list. String representation of choices must be unique.- Parameters
name – The parameter name
choices – An explicit list of choices, which is disregarded if None
units – The units of measure for the parameter
default – The default value
ui_class – A Qt class to use for the UI of this parameter
- property choices
Returns an immutable iterable of choices, or None if not set.
- convert(value)
Convert user input to python data format
Subclasses are expected to customize this method. Default implementation is the identity function
- Parameters
value – value to be converted
- Returns
converted value
- class pymeasure.experiment.parameters.Measurable(name, fget=None, units=None, measure=True, default=None, **kwargs)
Encapsulates the information for a measurable experiment parameter with information about the name, fget function and units if supplied. The value property is called when the procedure retrieves a datapoint and calls the fget function. If no fget function is specified, the value property will return the latest set value of the parameter (or default if never set).
- Variables
value – The value of the parameter
- Parameters
name – The parameter name
fget – The parameter fget function (e.g. an instrument parameter)
default – The default value
- class pymeasure.experiment.parameters.Metadata(name, fget=None, units=None, default=None, fmt='%s')
Encapsulates the information for metadata of the experiment with information about the name, the fget function and the units, if supplied. If no fget function is specified, the value property will return the latest set value of the parameter (or default if never set).
- Variables
value – The value of the parameter. This returns (if a value is set) the value obtained from the fget (after evaluation) or a manually set value. Returns None if no value has been set
- Parameters
name – The parameter name
fget – The parameter fget function; can be provided as a callable, or as a string, in which case it is assumed to be the name of a method or attribute of the Procedure class in which the Metadata is defined. Passing a string also allows for nested attributes by separating them with a period (e.g. to access an attribute or method of an instrument) where only the last attribute can be a method.
units – The parameter units
default – The default value, in case no value is assigned or if no fget method is provided
fmt – A string used to format the value upon writing it to a file. Default is “%s”
- is_set()
Returns True if the Parameter value is set
- class pymeasure.experiment.parameters.Parameter(name, default=None, ui_class=None, group_by=None, group_condition=True)
Encapsulates the information for an experiment parameter with information about the name, and units if supplied.
- Variables
value – The value of the parameter
- Parameters
name – The parameter name
default – The default value
ui_class – A Qt class to use for the UI of this parameter
group_by – Defines the Parameter(s) that controls the visibility of the associated input; can be a string containing the Parameter name, a list of strings with multiple Parameter names, or a dict containing {“Parameter name”: condition} pairs.
group_condition – The condition for the group_by Parameter that controls the visibility of this parameter, provided as a value or a (lambda)function. If the group_by argument is provided as a list of strings, this argument can be either a single condition or a list of conditions. If the group_by argument is provided as a dict this argument is ignored.
- property cli_args
helper for command line interface parsing of parameters
This property returns a list of data to help formatting a command line interface interpreter, the list is composed of the following elements: - index 0: default value - index 1: List of value to format an help string, that is either, the name of the fields to be documented or a tuple with (helps_string, field) - index 2: type
- convert(value)
Convert user input to python data format
Subclasses are expected to customize this method. Default implementation is the identity function
- Parameters
value – value to be converted
- Returns
converted value
- is_set()
Returns True if the Parameter value is set
- class pymeasure.experiment.parameters.PhysicalParameter(name, uncertaintyType='absolute', **kwargs)
VectorParameter
sub-class of 2 dimensions to store a value and its uncertainty.- Variables
value – The value of the parameter as a list of 2 floating point numbers
- Parameters
name – The parameter name
uncertainty_type – Type of uncertainty, ‘absolute’, ‘relative’ or ‘percentage’
units – The units of measure for the parameter
default – The default value
ui_class – A Qt class to use for the UI of this parameter
- convert(value)
Convert user input to python data format
Subclasses are expected to customize this method. Default implementation is the identity function
- Parameters
value – value to be converted
- Returns
converted value
- class pymeasure.experiment.parameters.VectorParameter(name, length=3, units=None, **kwargs)
Parameter
sub-class that stores the value in a vector format.- Variables
value – The value of the parameter as a list of floating point numbers
- Parameters
name – The parameter name
length – The integer dimensions of the vector
units – The units of measure for the parameter
default – The default value
ui_class – A Qt class to use for the UI of this parameter
- convert(value)
Convert user input to python data format
Subclasses are expected to customize this method. Default implementation is the identity function
- Parameters
value – value to be converted
- Returns
converted value