Examples

Here you will find a set of example figures with the code that generated them.

In order for the examples to work on your computer, you need to have a Tango device server running. The following section explains how to do this.

Setup

The device server used for the examples can be obtained here.

In order for the examples to work as they are provided a TaurusTest device must be created and running with the following configuration:

Server (ServerName/Instance):

TaurusTest/taurustest

Class:

TaurusTest

Devices:

sys/taurustest/1

You can easily configure it from Jive by going to Edit->Create server and type the above parameters in the dialog that pops up.

Common

For the sake of simplicity the code presented below (except for the first example) does not include the following header and footer code lines:

header:

import sys
from taurus.external.qt import Qt
from taurus.qt.qtgui.application import TaurusApplication

app = TaurusApplication(sys.argv, cmd_line_parser=None)
panel = Qt.QWidget()
layout = Qt.QHBoxLayout()
panel.setLayout(layout)

footer:

panel.show()
sys.exit(app.exec_())

You must prepend and append the above code in order for the examples to work properly.

Display attribute value

Displaying a tango attribute value in a GUI is easy with taurus and display.TaurusLabel

code:

import sys
from taurus.external.qt import Qt
from taurus.qt.qtgui.application import TaurusApplication

app = TaurusApplication(sys.argv, cmd_line_parser=None,)
panel = Qt.QWidget()
layout = Qt.QHBoxLayout()
panel.setLayout(layout)

from taurus.qt.qtgui.display import TaurusLabel
w = TaurusLabel()
layout.addWidget(w)
w.model = 'sys/taurustest/1/position'

panel.show()
sys.exit(app.exec_())

not much code to write, but… boring!

Display attribute value with label

Let’s spice it up a bit: add the tango label for the position attribute so it looks something like this:

code:

from taurus.qt.qtgui.display import TaurusLabel
w1, w2 = TaurusLabel(), TaurusLabel()
layout.addWidget(w1)
layout.addWidget(w2)
w1.model, w1.bgRole = 'sys/taurustest/1/position#label', ''
w2.model = 'sys/taurustest/1/position'

Much better indeed!

Display attribute value with label and separate units

And little bit more… add the units.

code:

from taurus.qt.qtgui.container import TaurusWidget
from taurus.qt.qtgui.display import TaurusLabel

w1, w2, w3 = TaurusLabel(), TaurusLabel(), TaurusLabel()
layout.addWidget(w1)
layout.addWidget(w2)
layout.addWidget(w3)
w1.model, w1.bgRole = 'sys/taurustest/1/position#label', ''
w2.model = 'sys/taurustest/1/position#rvalue.magnitude'
w3.model, w3.bgRole = 'sys/taurustest/1/position#rvalue.units', ''

Nice isn’t it?

Interactively display attribute

Humm… Now suppose the user wants to change this value. input.TaurusValueLineEdit does this job well (and so does input.TaurusValueSpinBox and input.TaurusWheelEdit 😃 )

With TaurusValueLineEdit

With TaurusValueSpinBox

With TaurusWheelEdit

code:

from taurus.qt.qtgui.display import TaurusLabel
from taurus.qt.qtgui.input import TaurusValueLineEdit, TaurusValueSpinBox, TaurusWheelEdit

w1 = TaurusLabel()
w2 = TaurusLabel()
w3 = TaurusValueLineEdit() # or TaurusValueSpinBox or TaurusWheelEdit
w4 = TaurusLabel()
layout.addWidget(w1)
layout.addWidget(w2)
layout.addWidget(w3)
layout.addWidget(w4)
w1.model, w1.bgRole = 'sys/taurustest/1/position#label', ''
w2.model = 'sys/taurustest/1/position'
w3.model = 'sys/taurustest/1/position'
w4.model, w4.bgRole = 'sys/taurustest/1/position#rvalue.units', ''

Now it seems a little bit more useful, doesn’t it?

A higher level of abstraction: forms

Now let’s say you want to display not only one but a dozen attributes… the programming becomes quite tedious. Taurus provides a higher level of abstraction: the panel.TaurusForm.

code:

from taurus.qt.qtgui.panel import TaurusForm

panel = TaurusForm()
props = [ 'state', 'status', 'position', 'velocity', 'acceleration' ]
model = [ 'sys/taurustest/1/%s' % p for p in props ]
panel.setModel(model)

…and don’t worry: panel.TaurusForm properly aligns the labels, manages the apply buttons and most important, it automagically decides which are the most appropriate widgets to use depending on the kind of attribute (you do not need to worry about whether the attribute is a scalar or a spectrum; or if it is read-only or writable; a boolean or a float, etc).

I specially enjoyed this one… let’s see what’s next!

Customizing forms

TaurusForm is highly customizable. This example shows how you can change the default widget for some attributes according to the user needs.

code:

from taurus.qt.qtgui.panel import TaurusForm
from taurus.qt.qtgui.display import TaurusLabel

panel = TaurusForm()
props = [ 'state', 'status', 'position', 'velocity', 'acceleration' ]
model = [ 'sys/taurustest/1/%s' % p for p in props ]
panel.setModel(model)
panel[0].readWidgetClass = TaurusLabel         # you can provide an arbitrary class...
panel[2].writeWidgetClass = 'TaurusWheelEdit'  # ...or, if it is a Taurus class you can just give its name

A little configuration goes a long way!

Synoptics one-o-one

Todo

put a jdraw synoptics here

Let’s go graphical

The plot widgets are provided by the taurus_pyqtgraph plugin

Simple plotting of various spectrum attributes

Say you want to plot two 1D attributes and watch them changing on-line? The taurus_pyqtgraph plugin provides a very complete widget: taurus_pyqtgraph.TaurusPlot

code:

from taurus_pyqtgraph import TaurusPlot

panel = TaurusPlot()
model = ['sys/taurustest/1/abscissas', 'sys/taurustest/1/curve']
panel.setModel(model)

Scatter plots (Y vs X plots)

In the former example each element of the spectrum attributes, was assigned its position index as the x-value (i.e., the “abscissas” attribute was plotted as a spectrum). But, what if you want to create a scatter plot where you want to read the x values from one attribute and the y-values from another?

code:

from taurus_pyqtgraph import TaurusPlot

panel = TaurusPlot()
model = [('sys/taurustest/1/abscissas, sys/taurustest/1/curve')]
panel.setModel(model)

Note that now the sys/taurustest/1/abscissas attribute is being used as x-values instead of being considered as another spectrum to plot like before.

Plotting data that is not an attribute

A taurus_pyqtgraph.TaurusPlot widget is a pyqtgraph.PlotWidget

You may use the standard API from PyQtGraph for plotting other data:

code:

from taurus_pyqtgraph import TaurusPlot
import pyqtgraph as pg
import numpy

panel = TaurusPlot()
model = [('sys/taurustest/1/abscissas,sys/taurustest/1/curve')]
panel.setModel(model)

c1 = pg.PlotDataItem(name="pg item", pen="b", fillLevel=0, brush="c")
c1.setData(numpy.linspace(0, 2, 250))
panel.addItem(c1)

Plotting Trends

Many times we are interested in showing how a scalar attribute evolves with time. A close-cousin of the TaurusPlot called taurus_pyqtgraph.TaurusTrend is here to help you:

code:

from taurus.qt.qtgui.plot import TaurusTrend

panel = TaurusTrend()
model = ['sys/taurustest/1/position']
panel.setModel(model)

Note: if you pass a model that is a 1D attribute (instead of a scalar), TaurusTrend will interpret it as a collection of scalar values and will plot a separate trend line for each.

Even higher level: creating a TaurusGui

taurusgui.TaurusGui provides very convenient way of creating feature-rich and very configurable GUIs by using existing widgets as “panels”. TaurusGuis can be created via a wizard application (no programming at all!) with a few clicks. You can try it out by running:

taurus newgui

For more details and tricks regarding TaurusGui, check this.