.. _pylab_examples-tricontour_vs_griddata: pylab_examples example code: tricontour_vs_griddata.py ====================================================== .. plot:: /home/tcaswell/src/p/matplotlib/doc/mpl_examples/pylab_examples/tricontour_vs_griddata.py :: """ Comparison of griddata and tricontour for an unstructured triangular grid. """ from __future__ import print_function import matplotlib.pyplot as plt import matplotlib.tri as tri import numpy as np import numpy.random as rnd import matplotlib.mlab as mlab import time rnd.seed(0) npts = 200 ngridx = 100 ngridy = 200 x = rnd.uniform(-2, 2, npts) y = rnd.uniform(-2, 2, npts) z = x*np.exp(-x**2 - y**2) # griddata and contour. start = time.clock() plt.subplot(211) xi = np.linspace(-2.1, 2.1, ngridx) yi = np.linspace(-2.1, 2.1, ngridy) zi = mlab.griddata(x, y, z, xi, yi, interp='linear') plt.contour(xi, yi, zi, 15, linewidths=0.5, colors='k') plt.contourf(xi, yi, zi, 15, norm=plt.Normalize(vmax=abs(zi).max(), vmin=-abs(zi).max())) plt.colorbar() # draw colorbar plt.plot(x, y, 'ko', ms=3) plt.xlim(-2, 2) plt.ylim(-2, 2) plt.title('griddata and contour (%d points, %d grid points)' % (npts, ngridx*ngridy)) print('griddata and contour seconds: %f' % (time.clock() - start)) # tricontour. start = time.clock() plt.subplot(212) triang = tri.Triangulation(x, y) plt.tricontour(x, y, z, 15, linewidths=0.5, colors='k') plt.tricontourf(x, y, z, 15, norm=plt.Normalize(vmax=abs(zi).max(), vmin=-abs(zi).max())) plt.colorbar() plt.plot(x, y, 'ko', ms=3) plt.xlim(-2, 2) plt.ylim(-2, 2) plt.title('tricontour (%d points)' % npts) print('tricontour seconds: %f' % (time.clock() - start)) plt.subplots_adjust(hspace=0.5) plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)