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copied!<p>Adapted from <a href="http://www.daniweb.com/forums/thread128350-6.html#" rel="noreferrer">DaniWeb</a>:</p> <pre><code>import wx class MyFrame(wx.Frame): def __init__(self, parent=None, title=None): wx.Frame.__init__(self, parent, wx.ID_ANY, title) self.panel = wx.Panel(self, size=(350, 450)) # this sets up the painting canvas self.panel.Bind(wx.EVT_PAINT, self.on_paint) # set frame size to fit panel self.Fit() def on_paint(self, event): # establish the painting canvas dc = wx.PaintDC(self.panel) x = 0 y = 0 w, h = self.GetSize() dc.GradientFillLinear((x, y, w, h), 'blue', 'black') app = wx.App(0) MyFrame(title='Gradient Test').Show() app.MainLoop() </code></pre> <p>And an alternative way to generate a gradient bitmap, using NumPy (from <a href="http://wiki.wxpython.org/WorkingWithImages" rel="noreferrer">wxpython.org</a>):</p> <pre><code>import numpy as np def GetBitmap( self, width=640, height=480, leftColour=(255,128,0), rightColour=(64,0,255) ): ## Create a horizontal gradient array = np.zeros( (height, width, 3),'uint8') # alpha is a one dimensional array with a linear gradient from 0.0 to 1.0 alpha = np.linspace( 0., 1., width ) # This uses alpha to linearly interpolate between leftColour and rightColour colourGradient = np.outer(alpha, leftColour) + np.outer((1.-alpha), rightColour) # NumPy's broadcasting rules will assign colourGradient to every row of the destination array array[:,:,:] = colourGradient image = wx.EmptyImage(width,height) image.SetData( array.tostring()) return image.ConvertToBitmap()# wx.BitmapFromImage(image) </code></pre>

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