Overlaying a scatter plot on background image and changing axes ranges

I have a set of x,y map coordinates that I want plotted on an background image of the map.

I use the following code to display my map:

import matplotlib.pyplot as plt
im=plt.imread('map.gif')
implot=plt.imshow(im,origin='lower')

Now the ranges for the x and y axes are the pixel values of the image. In my case, these are:

im.shape[0] 
545
im.shape[1]
1011

So the x-axis of the plot goes from 0 to 1011 and the y-axis from 0 to 545.

The map actually covers a range from -100 to +100 in the x-axis and -50 to 50 in the y-axis and my x,y coordinate values are on the same system.

How can I get the x-axis of the plot going from -100 to +100 and not 0 to 1011? a开发者_如何学运维nd then overplot my x,y scatter plot.

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The following code, from the matplotlib site, shows a plot that goes from -3 to 3, check it out:

#!/usr/bin/env python
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

delta = 0.025
x = y = np.arange(-3.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = Z2-Z1  # difference of Gaussians

im = plt.imshow(Z, interpolation='bilinear', cmap=cm.gray,
                origin='lower', extent=[-3,3,-3,3])

plt.show()

The important part is the 'extent' argument of 'imshow'.