#!/usr/bin/env python
# Plot of scipy-, Numeric-, numarray-arrays and lists of Python floats.
# for debugging, requires: python configure.py --trace ...
if False:
import sip
sip.settracemask(0x3f)
import sys
import qt
import Qwt5 as Qwt
def drange(start, stop, step):
start, stop, step = float(start), float(stop), float(step)
size = int(round((stop-start)/step))
result = [start]*size
for i in xrange(size):
result[i] += i*step
return result
# drange()
def lorentzian(x):
return 1.0/(1.0+(x-5.0)**2)
# lorentzian()
class MultiDemo(qt.QWidget):
def __init__(self, *args):
qt.QWidget.__init__(self, *args)
layout = qt.QGridLayout(self)
# try to create a plot for SciPy arrays
try:
# import does_not_exist
import numpy
# make a curve and copy the data
numpy_curve = Qwt.QwtPlotCurve('y = lorentzian(x)')
x = numpy.arange(0.0, 10.0, 0.01)
y = lorentzian(x)
numpy_curve.setData(x, y)
# here, we know we can plot NumPy arrays
numpy_plot = Qwt.QwtPlot(self)
numpy_plot.setTitle('numpy array')
numpy_plot.setCanvasBackground(qt.Qt.white)
numpy_plot.plotLayout().setCanvasMargin(0)
numpy_plot.plotLayout().setAlignCanvasToScales(True)
# insert a curve and make it red
numpy_curve.attach(numpy_plot)
numpy_curve.setPen(qt.QPen(qt.Qt.red))
layout.addWidget(numpy_plot, 0, 0)
numpy_plot.replot()
except ImportError, message:
print "%s: %s" % (ImportError, message)
print "Install NumPy to plot NumPy arrays"
except TypeError, message:
print "%s: %s" % (TypeError, message)
print "Rebuild PyQwt to plot NumPy arrays"
# try to create a plot for Numeric arrays
try:
# import does_not_exist
import Numeric
# make a curve and copy the data
numeric_curve = Qwt.QwtPlotCurve('y = lorentzian(x)')
x = Numeric.arange(0.0, 10.0, 0.01)
y = lorentzian(x)
numeric_curve.setData(x, y)
# here, we know we can plot Numeric arrays
numeric_plot = Qwt.QwtPlot(self)
numeric_plot.setTitle('Numeric array')
numeric_plot.setCanvasBackground(qt.Qt.white)
numeric_plot.plotLayout().setCanvasMargin(0)
numeric_plot.plotLayout().setAlignCanvasToScales(True)
# insert a curve and it red
numeric_curve.attach(numeric_plot)
numeric_curve.setPen(qt.QPen(qt.Qt.red))
layout.addWidget(numeric_plot, 0, 1)
numeric_plot.replot()
except ImportError, message:
print "%s: %s" % (ImportError, message)
print "Install Numeric to plot Numeric arrays"
except TypeError, message:
print "%s: %s" % (TypeError, message)
print "Rebuild PyQwt to plot Numeric arrays"
# try to create a plot for numarray arrays
try:
# import does_not_exist
import numarray
# make a curve and copy the data
numarray_curve = Qwt.QwtPlotCurve('y = lorentzian(x)')
x = numarray.arange(0.0, 10.0, 0.01)
y = lorentzian(x)
numarray_curve.setData(x, y)
# here, we know we can plot numarray arrays
numarray_plot = Qwt.QwtPlot(self)
numarray_plot.setTitle('numarray array')
numarray_plot.setCanvasBackground(qt.Qt.white)
numarray_plot.plotLayout().setCanvasMargin(0)
numarray_plot.plotLayout().setAlignCanvasToScales(True)
# insert a curve and make it red
numarray_curve.attach(numarray_plot)
numarray_curve.setPen(qt.QPen(qt.Qt.red))
layout.addWidget(numarray_plot, 1, 0)
numarray_plot.replot()
except ImportError, message:
print "%s: %s" % (ImportError, message)
print "Install numarray to plot numarray arrays"
except TypeError, message:
print "%s: %s" % (TypeError, message)
print "Rebuild PyQwt to plot numarray arrays"
# create a plot widget for lists of Python floats
list_plot = Qwt.QwtPlot(self)
list_plot.setTitle('Python list')
list_plot.setCanvasBackground(qt.Qt.white)
list_plot.plotLayout().setCanvasMargin(0)
list_plot.plotLayout().setAlignCanvasToScales(True)
x = drange(0.0, 10.0, 0.01)
y = map(lorentzian, x)
# insert a curve, make it red and copy the lists
list_curve = Qwt.QwtPlotCurve('y = lorentzian(x)')
list_curve.attach(list_plot)
list_curve.setPen(qt.QPen(qt.Qt.red))
list_curve.setData(x, y)
layout.addWidget(list_plot, 1, 1)
list_plot.replot()
# __init__()
# class MultiDemo
def main(args):
app = qt.QApplication(args)
demo = make()
app.setMainWidget(demo)
sys.exit(app.exec_loop())
# main()
def make():
demo = MultiDemo()
demo.resize(400, 600)
demo.show()
return demo
# make()
# Admire!
if __name__ == '__main__':
main(sys.argv)
# Local Variables: ***
# mode: python ***
# End: ***
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