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copied!<p>I just saw this today. It is absolutely possible and fairly straightforward to embed Chaco inside Qt as well as WX. In fact, all of the examples, when run with your ETS_TOOLKIT environment var set to "qt4", are doing exactly this. (Chaco <em>requires</em> there to be an underlying GUI toolkit.)</p> <p>I have written a small, standalone example that fills in the blanks in your code template, and demonstrates how to embed a chaco Plot inside a Qt Window.</p> <p><a href="https://svn.enthought.com/enthought/browser/Chaco/trunk/examples/qt_example.py" rel="noreferrer">qt_example.py</a>:</p> <pre><code>""" Example of how to directly embed Chaco into Qt widgets. The actual plot being created is drawn from the basic/line_plot1.py code. """ import sys from numpy import linspace from scipy.special import jn from PyQt4 import QtGui, QtCore from enthought.etsconfig.etsconfig import ETSConfig ETSConfig.toolkit = "qt4" from enthought.enable.api import Window from enthought.chaco.api import ArrayPlotData, Plot from enthought.chaco.tools.api import PanTool, ZoomTool class PlotFrame(QtGui.QWidget): """ This widget simply hosts an opaque enthought.enable.qt4_backend.Window object, which provides the bridge between Enable/Chaco and the underlying UI toolkit (qt4). This code is basically a duplicate of what's in enthought.enable.example_support.DemoFrame, but is reproduced here to make this example more stand-alone. """ def __init__(self, parent, **kw): QtGui.QWidget.__init__(self) def create_chaco_plot(parent): x = linspace(-2.0, 10.0, 100) pd = ArrayPlotData(index = x) for i in range(5): pd.set_data("y" + str(i), jn(i,x)) # Create some line plots of some of the data plot = Plot(pd, title="Line Plot", padding=50, border_visible=True) plot.legend.visible = True plot.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="red") plot.plot(("index", "y3"), name="j_3", color="blue") # Attach some tools to the plot plot.tools.append(PanTool(plot)) zoom = ZoomTool(component=plot, tool_mode="box", always_on=False) plot.overlays.append(zoom) # This Window object bridges the Enable and Qt4 worlds, and handles events # and drawing. We can create whatever hierarchy of nested containers we # want, as long as the top-level item gets set as the .component attribute # of a Window. return Window(parent, -1, component = plot) def main(): app = QtGui.QApplication(sys.argv) main_window = QtGui.QMainWindow(size=QtCore.QSize(500,500)) enable_window = create_chaco_plot(main_window) # The .control attribute references a QWidget that gives Chaco events # and that Chaco paints into. main_window.setCentralWidget(enable_window.control) main_window.show() app.exec_() if __name__ == "__main__": main() </code></pre>

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