Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import matplotlib
- import numpy as np
- import matplotlib.cm as cm
- import matplotlib.mlab as mlab
- import matplotlib.pyplot as plt
- matplotlib.rcParams['xtick.direction'] = 'out'
- matplotlib.rcParams['ytick.direction'] = 'out'
- delta = 0.025
- x = np.arange(-3.0, 3.0, delta)
- y = np.arange(-2.0, 2.0, 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)
- # difference of Gaussians
- Z = 10.0 * (Z2 - Z1)
- # Create a simple contour plot with labels using default colors. The
- # inline argument to clabel will control whether the labels are draw
- # over the line segments of the contour, removing the lines beneath
- # the label
- plt.figure()
- CS = plt.contour(X, Y, Z)
- plt.clabel(CS, inline=1, fontsize=10)
- plt.title('Simplest default with labels')
- plt.savefig('plot.pgf')
Add Comment
Please, Sign In to add comment