TaurusTrendDialog

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class TaurusTrendDialog(parent=None, designMode=False, taurusparam=None, toolbar=True, **kwargs)[source]

A taurus widget for showing trends of scalar data. It is an specialization of guiqwt.plot.CurveWidget, for displaying trends and offering the expected Taurus interface (e.g. setting models, save/apply configs, drag&drops,…)

Import from taurus.qt.qtgui.extra_guiqwt as:

from taurus.qt.qtgui.extra_guiqwt import TaurusTrendDialog
addModels(modelNames)[source]

Creates TaurusCurveItems (one for each model in modelNames) and attaches them to the plot.

Note

you can also add curves using add_items(). addModels() is only a more Taurus-oriented interface. add_items() gives you more control.

Parameters:

modelNames (sequence<str> or str) – the names of the models to be plotted. For convenience, a string is also accepted (instead of a sequence of strings), in which case the string will be internally converted to a sequence by splitting it on whitespace and commas.

See also

add_item()

getDropEventCallback()[source]

reimplemented from TaurusBaseWidget

getMaxDataBufferSize()[source]

returns the maximum number of events that can be plotted in the trend

Returns:

Return type:

int

getModel(**kwargs)[source]

reimplemented from TaurusBaseWidget

getModelClass(**kwargs)[source]

reimplemented from TaurusBaseWidget

classmethod getQtDesignerPluginInfo()[source]

reimplemented from TaurusBaseWidget

getStackMode()[source]
getTaurusTrendItems()[source]
getUseArchiving()[source]

whether TaurusTrend is looking for data in the archiver when needed

Returns:

Return type:

bool

keyPressEvent(self, a0: QKeyEvent | None)[source]
maxDataBufferSize
pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None,

designable=True, scriptable=True, stored=True, user=False, constant=False, final=False, notify=None, revision=0) -> property attribute

type is the type of the property. It is either a type object or a string that is the name of a C++ type. freset is a function for resetting an attribute to its default value. designable sets the DESIGNABLE flag (the default is True for writable properties and False otherwise). scriptable sets the SCRIPTABLE flag. stored sets the STORED flag. user sets the USER flag. constant sets the CONSTANT flag. final sets the FINAL flag. notify is the NOTIFY signal. revision is the REVISION. The other parameters are the same as those required by the standard Python property type. Properties defined using pyqtProperty behave as both Python and Qt properties. Decorators can be used to define new properties or to modify existing ones.

model
pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None,

designable=True, scriptable=True, stored=True, user=False, constant=False, final=False, notify=None, revision=0) -> property attribute

type is the type of the property. It is either a type object or a string that is the name of a C++ type. freset is a function for resetting an attribute to its default value. designable sets the DESIGNABLE flag (the default is True for writable properties and False otherwise). scriptable sets the SCRIPTABLE flag. stored sets the STORED flag. user sets the USER flag. constant sets the CONSTANT flag. final sets the FINAL flag. notify is the NOTIFY signal. revision is the REVISION. The other parameters are the same as those required by the standard Python property type. Properties defined using pyqtProperty behave as both Python and Qt properties. Decorators can be used to define new properties or to modify existing ones.

modelChanged

int = …, arguments: Sequence = …) -> PYQT_SIGNAL

types is normally a sequence of individual types. Each type is either a type object or a string that is the name of a C++ type. Alternatively each type could itself be a sequence of types each describing a different overloaded signal. name is the optional C++ name of the signal. If it is not specified then the name of the class attribute that is bound to the signal is used. revision is the optional revision of the signal that is exported to QML. If it is not specified then 0 is used. arguments is the optional sequence of the names of the signal’s arguments.

Type:

pyqtSignal(*types, name

Type:

str = …, revision

modifiableByUser
pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None,

designable=True, scriptable=True, stored=True, user=False, constant=False, final=False, notify=None, revision=0) -> property attribute

type is the type of the property. It is either a type object or a string that is the name of a C++ type. freset is a function for resetting an attribute to its default value. designable sets the DESIGNABLE flag (the default is True for writable properties and False otherwise). scriptable sets the SCRIPTABLE flag. stored sets the STORED flag. user sets the USER flag. constant sets the CONSTANT flag. final sets the FINAL flag. notify is the NOTIFY signal. revision is the REVISION. The other parameters are the same as those required by the standard Python property type. Properties defined using pyqtProperty behave as both Python and Qt properties. Decorators can be used to define new properties or to modify existing ones.

resetMaxDataBufferSize()[source]

Same as setMaxDataBufferSize(16384)

resetStackMode()[source]
resetUseArchiving()[source]

Same as setUseArchiving(False)

setMaxDataBufferSize(maxSize)[source]

sets the maximum number of events that will be stacked

Parameters:

maxSize (int) – the maximum limit

See also

TaurusTrendSet

setModel(modelNames, **kwargs)[source]

Removes current TaurusCurveItems and adds new ones.

Parameters:

modelNames (sequence<str> or str) – the names of the models to be plotted. For convenience, a string is also accepted (instead of a sequence of strings), in which case the string will be internally converted to a sequence by splitting it on whitespace and commas.

See also

addModels()

setModifiableByUser(modifiable)[source]

reimplemented from TaurusBaseWidget

setStackMode(mode)[source]

set the type of stack to be used. This determines how X values are interpreted:

  • as timestamps (‘datetime’)

  • as time deltas (‘timedelta’)

  • as event numbers (‘event’)

Parameters:

mode (one of 'datetime', 'timedelta' or 'event') –

setUseArchiving(enable)[source]

enables/disables looking up in the archiver for data stored before the Trend was started

Parameters:

enable (bool) – if True, archiving values will be used if available

stackMode
pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None,

designable=True, scriptable=True, stored=True, user=False, constant=False, final=False, notify=None, revision=0) -> property attribute

type is the type of the property. It is either a type object or a string that is the name of a C++ type. freset is a function for resetting an attribute to its default value. designable sets the DESIGNABLE flag (the default is True for writable properties and False otherwise). scriptable sets the SCRIPTABLE flag. stored sets the STORED flag. user sets the USER flag. constant sets the CONSTANT flag. final sets the FINAL flag. notify is the NOTIFY signal. revision is the REVISION. The other parameters are the same as those required by the standard Python property type. Properties defined using pyqtProperty behave as both Python and Qt properties. Decorators can be used to define new properties or to modify existing ones.

useArchiving
pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None,

designable=True, scriptable=True, stored=True, user=False, constant=False, final=False, notify=None, revision=0) -> property attribute

type is the type of the property. It is either a type object or a string that is the name of a C++ type. freset is a function for resetting an attribute to its default value. designable sets the DESIGNABLE flag (the default is True for writable properties and False otherwise). scriptable sets the SCRIPTABLE flag. stored sets the STORED flag. user sets the USER flag. constant sets the CONSTANT flag. final sets the FINAL flag. notify is the NOTIFY signal. revision is the REVISION. The other parameters are the same as those required by the standard Python property type. Properties defined using pyqtProperty behave as both Python and Qt properties. Decorators can be used to define new properties or to modify existing ones.