{ "metadata": { "name": "", "signature": "sha256:1046e6dfed2e01056ca35cc7c8d899e2b41fffd355b003632905447d3b2f5e1f" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "import matplotlib\n", "import numpy as np\n", "import matplotlib.cm as cm\n", "import matplotlib.mlab as mlab\n", "import matplotlib.pyplot as plt\n", "\n", "matplotlib.rcParams['xtick.direction'] = 'out'\n", "matplotlib.rcParams['ytick.direction'] = 'out'\n", "\n", "%matplotlib inline" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "delta = 0.025\n", "x = np.arange(-3.0, 3.0, delta)\n", "y = np.arange(-2.0, 2.0, delta)\n", "X, Y = np.meshgrid(x, y)\n", "Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)\n", "Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)\n", "\n", "# difference of Gaussians\n", "Z = 10.0 * (Z2 - Z1)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "# Create a simple contour plot with labels using default colors. The\n", "# inline argument to clabel will control whether the labels are draw\n", "# over the line segments of the contour, removing the lines beneath\n", "# the label\n", "plt.figure()\n", "CS = plt.contour(x, y, Z)\n", "plt.clabel(CS, inline=1, fontsize=10)\n", "plt.title('Simplest default with labels')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAEOCAYAAABo0bd5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 13 }, { "cell_type": "code", "collapsed": false, "input": [ "Z.shape, x.shape, y.shape" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 14, "text": [ "((160, 240), (240,), (160,))" ] } ], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "Z" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 15, "text": [ "array([[-0.0023928 , -0.00257835, -0.00277656, ..., -0.00298812,\n", " -0.00277655, -0.00257834],\n", " [-0.00251469, -0.0027097 , -0.00291801, ..., -0.00314034,\n", " -0.00291799, -0.00270968],\n", " [-0.00264115, -0.00284596, -0.00306474, ..., -0.00329825,\n", " -0.00306472, -0.00284594],\n", " ..., \n", " [ 0.00817778, 0.00845885, 0.00874442, ..., 0.16478335,\n", " 0.16144524, 0.15812319],\n", " [ 0.00732895, 0.00757579, 0.00782611, ..., 0.14989083,\n", " 0.14686179, 0.14384672],\n", " [ 0.00654051, 0.00675572, 0.00697347, ..., 0.13599164,\n", " 0.1332508 , 0.13052201]])" ] } ], "prompt_number": 15 } ], "metadata": {} } ] }