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Viewing changes to examples/advanced/scalar_image_function_inspector.py

  • Committer: Bazaar Package Importer
  • Author(s): Varun Hiremath
  • Date: 2010-06-03 01:43:27 UTC
  • mfrom: (1.1.4 upstream)
  • Revision ID: james.westby@ubuntu.com-20100603014327-lurshmszk4h96hr8
Tags: 3.3.1-1
New upstream release

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Lines of Context:
examples/advanced/scalar_image_function_inspector.py
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        self.compute_model()
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    def compute_model(self):
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        # Create the values
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        self.xs = linspace(self.min_x, self.max_x, self.npts_x)
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        self.ys = linspace(self.min_y, self.max_y, self.npts_y)
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        x, y = meshgrid(self.xs,self.ys)
 
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        # The xs and ys used for the image plot range need to be the 
 
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        # edges of the cells.
 
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        self.xs = linspace(self.min_x, self.max_x, self.npts_x+1)
 
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        self.ys = linspace(self.min_y, self.max_y, self.npts_y+1)
 
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        # The grid of points at which we will evaluate the 2D function
 
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        # is located at cell centers, so use halfsteps from the 
 
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        # min/max values (which are edges)
 
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        xstep = (self.max_x - self.min_x) / self.npts_x
 
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        ystep = (self.max_y - self.min_y) / self.npts_y
 
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        gridx = linspace(self.min_x+xstep/2, self.max_x-xstep/2, self.npts_x)
 
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        gridy = linspace(self.min_y+xstep/2, self.max_y-xstep/2, self.npts_y)
 
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        x, y = meshgrid(gridx, gridy)
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        try:
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            d = dict(x=x, y=y)
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            exec "from scipy import *" in d