ch10-code-listing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 10: Sparse matrices and graphs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Robert Johansson\n",
    "\n",
    "Source code listings for [Numerical Python - A Practical Techniques Approach for Industry](http://www.apress.com/9781484205549) (ISBN 978-1-484205-54-9).\n",
    "\n",
    "The source code listings can be downloaded from http://www.apress.com/9781484205549"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['text.usetex'] = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import scipy.sparse as sp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import scipy.sparse.linalg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import scipy.linalg as la"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Coordinate list format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "values = [1, 2, 3, 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rows = [0, 1, 2, 3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cols = [1, 3, 2, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = sp.coo_matrix((values, (rows, cols)), shape=[4, 4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[0, 1, 0, 0],\n",
       "        [0, 0, 0, 2],\n",
       "        [0, 0, 3, 0],\n",
       "        [4, 0, 0, 0]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.todense()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<4x4 sparse matrix of type '<type 'numpy.int64'>'\n",
       "\twith 4 stored elements in COOrdinate format>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((4, 4), 4, dtype('int64'), 2)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.shape, A.size, A.dtype, A.ndim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4, array([1, 2, 3, 4]))"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.nnz, A.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3], dtype=int32)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 3, 2, 0], dtype=int32)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<4x4 sparse matrix of type '<type 'numpy.int64'>'\n",
       "\twith 4 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.tocsr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 1, 0, 0],\n",
       "       [0, 0, 0, 2],\n",
       "       [0, 0, 3, 0],\n",
       "       [4, 0, 0, 0]])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[0, 1, 0, 0],\n",
       "        [0, 0, 0, 2],\n",
       "        [0, 0, 3, 0],\n",
       "        [4, 0, 0, 0]])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.todense()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not all sparse matrix formats supports indexing:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'coo_matrix' object has no attribute '__getitem__'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-21-13df355f18af>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mA\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'coo_matrix' object has no attribute '__getitem__'"
     ]
    }
   ],
   "source": [
    "A[1,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NotImplementedError",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNotImplementedError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-22-7f4c44f6556f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtobsr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/Users/rob/miniconda/envs/py27-npm/lib/python2.7/site-packages/scipy/sparse/bsr.pyc\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    297\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__getitem__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 299\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    300\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    301\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__setitem__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNotImplementedError\u001b[0m: "
     ]
    }
   ],
   "source": [
    "A.tobsr()[1,2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But some do:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.tocsr()[1,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<2x1 sparse matrix of type '<type 'numpy.int64'>'\n",
       "\twith 1 stored elements in LInked List format>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.tolil()[1:3,3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CSR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 0, 0],\n",
       "       [0, 3, 4, 0],\n",
       "       [0, 0, 5, 6],\n",
       "       [7, 0, 8, 9]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A = np.array([[1, 2, 0, 0], [0, 3, 4, 0], [0, 0, 5, 6], [7, 0, 8, 9]]); A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = sp.csr_matrix(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5, 6, 7, 8, 9])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 1, 2, 2, 3, 0, 2, 3], dtype=int32)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 2, 4, 6, 9], dtype=int32)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.indptr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "i = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4, 5)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.indptr[i], A.indptr[i+1]-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 3], dtype=int32)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.indices[A.indptr[i]:A.indptr[i+1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([5, 6])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.data[A.indptr[i]:A.indptr[i+1]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functions for constructing sparse matrices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "N = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = -2 * sp.eye(N) + sp.eye(N, k=1) + sp.eye(N, k=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<10x10 sparse matrix of type '<type 'numpy.float64'>'\n",
       "\twith 28 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[-2.,  1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\n",
       "        [ 1., -2.,  1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\n",
       "        [ 0.,  1., -2.,  1.,  0.,  0.,  0.,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  1., -2.,  1.,  0.,  0.,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0.,  1., -2.,  1.,  0.,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0.,  0.,  1., -2.,  1.,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0.,  0.,  0.,  1., -2.,  1.,  0.,  0.],\n",
       "        [ 0.,  0.,  0.,  0.,  0.,  0.,  1., -2.,  1.,  0.],\n",
       "        [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  1., -2.,  1.],\n",
       "        [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1., -2.]])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.todense()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iDQBDiDYADCHaADCEaAPAEKINAEOINgAMIdoAMIRoA8AQog0AQ4g2AAwh2gAwhGgDwBCi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\nxH8B3ZI4Jb6iplQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1066c54d0>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 246
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.spy(A)\n",
    "fig.savefig(\"ch10-sparse-matrix-1.pdf\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = sp.diags([1,-2,1], [1,0,-1], shape=[N, N], format='csc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<10x10 sparse matrix of type '<type 'numpy.float64'>'\n",
       "\twith 28 stored elements in Compressed Sparse Column format>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iDQBDiDYADCHaADCEaAPAEKINAEOINgAMIdoAMIRoA8AQog0AQ4g2AAwh2gAwhGgDwBCi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\nxH8B3ZI4Jb6iplQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109850f50>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 246
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.spy(A);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "B = sp.diags([1, 1], [-1, 1], shape=[3,3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<3x3 sparse matrix of type '<type 'numpy.float64'>'\n",
       "\twith 4 stored elements (2 diagonals) in DIAgonal format>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<30x30 sparse matrix of type '<type 'numpy.float64'>'\n",
       "\twith 112 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "C = sp.kron(A, B, format='csr')\n",
    "C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kqp4k+ae+iQAAALhOFg4DAAAAAOhIkRYAAAAAoCNFWgAAAI5GVT2rqler6mT+\nuF9VH/XOBdOpCR/Hk62qJn/AVZiTFgAAgINQVSdJHiR50Fr74YqX3U3y5MzPXyV5/bqzwe5Muebs\n1IXGkbMl4+fjkCnSAgAAsNeq6naSR0m+SHI/6ystnyb5OMlJks+T/Lq19tdrDwkAayjSAgAAsNda\na8+TvJEkVfUkyT+tefnT1tq/7CQYAFySOWkB4ICtmyPr9PS0dzwArtHp6al5EgFgT1RrU863ccWT\nV7Uk6ZkBgHEtOpGttaPtTS5GA7XWfnTF/Q6+jZ29P6adN+yQrxccA/eFyzvkNvaitrOqPsxsuoNk\nNuXBy0neba19c8njH3wby3oj32tk2+Jog+djf2zaxpruAADGd3AdaADo6KS19pvFD1X1apJnSVYt\nNAYA1850BwAwmKq6WVWPq+qjJK8muV1VH8233e2dDwD2WWvtn8/9/Pskd6rq550isZdqwgeAkbQA\nMJz51y3f6Z0DAI7I8yRvJvll7yCMz1fYgetgJC0AAABHoao+ns9Ju8ztnYYBgDMUaQEAADgWP0ly\nc8n2W0meXuVAVbXycXp6OkVWAAZ1enq6sg3YVPUcpm9VTADWOeSVp6/bMbSxVuAFznNfuLxDbmOr\n6kmSf2qt/WjJc49ba++c23YnyZ+TPGit/fYSxz/4Npb9NfJ9cORsyfj52B+btrFG0gIAAHBoVnWM\nP6iq989te5Tk48sUaAHgulg4DNbYZpj6KtP+FXJax5ANAIDDU1U3Myu23klyP0mrqo+SfJHkg9ba\nZ0nSWvts/nXUx/NdbyX5j9bar3rkhnU271et229Zv2r9eabt342c7aLz7Safvu/xMt0BrDHy1x1k\n4xgc8lcxr9sxtLH+IASc575wedrYzR1DG8sYrqNftbrQeNXzjJxtm/2uejx9X75v0zbWSFoAYC/5\nAAuc574AAOwrc9ICAAAAAHSkSAsAAAAA0JEiLQAAAABAR4q0AAAAAAAdWTgMAAAA4ChcabH5HRs5\nWzJ+PvadIi0AAADAEWitfW9b1RjFx5GzJePnY/+Z7gAAAAAAoCNFWgAAAACAjhRpAQAAAAA6UqQF\nAAAAAOjIwmEAAAAAB2H9QlarF7pat9/3F8zazMjZLjrPCPk4dIq0AAAAAAdjd4XLqxs5WzJ+Pg6Z\n6Q4AAAAAADpSpAUAAAAA6EiRFgAAAACgI0VaAAAAAICOFGkBAAAAADq60TsAjG/kFRllAwAAOFwj\n9KtWZRjw3MZTAAARU0lEQVQ520XP7coIGdgXirSwRmutd4SVZAMAADhcm/SrqqYvCk7Vvxs5WzJ+\nPg6f6Q4AAAAAADpSpAUAAAAA6EiRFgAAAACgI0VaAAAAAICOFGkBAAAAADq60TsAAAAAAMegege4\nwJj5qqbP1Vqb/JhsR5EWAAAAgB2YsjB4HQXVkfONnI0pmO4AAAAAAKAjRVoAAAAAgI4UaQEAAAAA\nOlKkBQAAAADoyMJhAAAAAAfDolCwjxRpAQAAAA5Aa613BGBDpjsAAAAAAOhIkRYAAAAAoCNFWgAA\nAACAjhRpAQAAAAA6UqQFAAAAAOjoRu8AwGaqavJjTrUS6MjZkvHzAQAAjGzzPtW6/Zb1qdafZ/q+\n3cj5+mfT771ekxRpq+okyftJPp9veqm19t4UxwbWmfIGOXXjNnK2ZPx8AAAAI9tVn2qT89SG+607\n3ipXPc/I2TY9D1PYukhbVXeSfJjkf7bW/lRVN5P8saq+bK39cuuEAAAAAAAHbIo5aT9O8n9aa3+a\n/1xJbif5aoJjAwAAAAActK1G0lbVgyS3W2u/WmxrrX2d5Na2wQAAAAAAjsG2I2nfjhGzAAAAAAAb\n23ZO2jtJ/lxVryT5aZIvk7yc5N3W2jfbhgMAAAAAOHQbF2mr6iTJzczmoL3ZWntvvv1ukudVdVuh\nFgAAAICLVe8AFxg538jZuKwpFg673Vr7w+KH1tpnSV4k+c0ExwYAAADgwLXWvvcYycj5Rs7G5W1c\npJ0vEJYkT5c8/TzJ/U2PDQAAAABwLLYdSfv1muduXvYgVbXycXp6umVEAEZ2enq6sg0AAACAY1Db\nDIGuqo+S3Gqt3Tu3/eMkP26tvXTB/i2JYdiwgVkBa8rfnZrsd3HkbMn4+fi7RaG2taZie0XaWADW\n0cZuThsLu+tTbX6ekfONnO3q5+H7Nm1jtx1J+yjJj5dsv5fkwy2PDQAAAABw8LYq0rbWPknyaVW9\ntdhWVfeTfJvk3S2zAQAAAHAQas1j+VSYl9nvOPKNnI2p3Nj2AK21e1X1uKp+stiU5HZr7a/bHhsA\nAAAuo6ruJHk4//FeZotcv9ta++bc606SvJ/k88zWWXk5yS/Ovw64DtN+/X56I+cbORtT2LpImySt\ntXemOA4AAABc1aJAe7ZvOl9D5XlV3T5XgH2W5NXW2p/mr3slySeZFXYBoItt56QFAACA3t5fMnjo\n7SQnma2lkiSpqodJXiwKtMnfpvE7OTuNHwDsmiItAAAA++6nVfX07IbW2vP5P185s/nNzKZBOO/T\nJK9fUzYAuJAiLQAAAPvuyyQ3L/G6u5nNQ3veV0nuT5oIAK5gkjlpAQAAoJfW2g/Pb5vPU5vMRsme\n/fnLVcepqh9YBBuAHhRpYa+NvCLjyNmS8fMBALCltzNbDv3d+c8na167GF17K4kiLVzKCH2qdRlG\nzjdyNnpRpIU91VrrHWGlkbMl4+cDAGA7VfXjJD9P8lpr7S+d48DB2aRPVTV9UXDKvt3I+UbOxnTM\nSQsAAMCh+XWSB621P5zZthgt+9KS1y9G2b641lQAsIIiLQAAAAejqp4kedxa++3Z7a21L9bsdmv2\nksvPR1tVKx+np6ebhQdgL5yenq5sAzZVPYc3V1VLDLEGYLlFA9daM2HSFWljAVjnUNvYqnqY5MXZ\nAm1VvdJa+2T+76dJnrbW3jm338dJvm2t/ewS59DGwgZm950pf2/qGqY7GDPfyNn4vk3bWCNpAQAA\n2HtV9Vpmo2F/e+6p18/8+3dJ7i3Z/U6Sj68rGwBcxEhaAIZ1qKN8dkEbC8A6h9bGzhcKezJ/LP6b\nTjKbxuDLsyNnq+rPSV5vrX02//l+kn9rrf3okufSxsIGRh8NOvLiXLLtl03b2BvXkgYAAAB258Mk\n/5jk4bntLcm757b9JMmjqnqW5OUkN+fbgKM3bRF5WrIdOiNpARjWoY3y2SVtLADraGM3p42FzezH\nSNox88m2X8xJCwAAAACwhxRpAQAAAAA6UqQFAAAAAOhIkRYAAAAAoKMbvQMAAAAAcAysVQirKNIC\nAAAAcK1aa70jwNBMdwAAAAAA0JEiLQAAAABAR4q0AAAAAAAdKdICAAAAAHRk4TBgclXTr9g55STz\nI+cbORsAAMA+2LxftW6/Zf2q9eeZtn93SNnW77Nptn3v+yrSAtdkypvj9IXLsfONnA0AAGAf7Kpf\nddXz1Ab7XHS8VUbOlh2fa3ymOwAAAAAA6EiRFgAAAACgI0VaAAAAAICOFGkBAAAAADpSpAUAAAAA\n6OhG7wAAAAAAMLbqHWAN2Q6BIi0AAAAArNFa+962qjEKkPuWLRkn30hMdwAAAAAA0JEiLQAAAABA\nR4q0AAAAAAAdKdICAAAAAHRk4TAAAAAAjtz6haxWL3S1br/li2Zd3SFmW7fvVNn2iyItAAAAAExa\nHFxfvLw62Q6d6Q4AAAAAADpSpAUAAAAA6EiRFgAAAACgI0VaAAAAAICOFGkBAAAAADq60TsAcKhG\nX5Fx5HwjZwMAANgHI/SrVmWQbb0RMuyeIi0wudZa7whrjZxv5GwAAAD7YJN+VdX0hcGp+neyHQfT\nHQAAAAAAdKRICwAAAADQkSItAAAAAEBHirQAAAAAAB1ZOAwAAAAAhjb9Al3TGTfbPi1spkgLAAAA\nAEObsjA4deFy5GzJ+PlmTHcAAAAAANCRIi0AAAAAQEeKtAAAAAAAHSnSAgAAAAB0pEgLAAAAANDR\njd4BAABgG1XTr7Lb2pSrAAMA+2H6zxRwWYq0ADCgqrqT5OH8x3tJniZ5t7X2Tb9UMLIpi6o6aABw\nbPyBlt4UaQFgMIsCbWvtnTPbPkryvKpuK9QCAAAcFnPSAsB43j9boJ17O8lJkkcd8gAAAHCNFGkB\nYDw/raqnZze01p7P//lKhzwAAABcI0VaABjPl0lu9g4BAADAbpiTFgAG01r74flt83lqk+TTHccB\nAADgminSAkenavpVu6daCXTkbMn4+Q7c25ktX/9u7yAAAMBmNu9TrdtvWZ9q/Xmm7dtdNdv6fabv\nd4587f5u6yJtVZ0keS+zr2a+lPmiJmfmzgMY0JSFwalv0CNnS8bPd3iq6sdJfp7ktdbaXzrHAYAh\nzb918nD+470kT5O821r75tzrniX530k+OfPah621f95VVuDY7apPddXz1Ab7XHS8dUbOt815Nuvn\nblWknRdov7MCdVXdTPJJVb1yvjEEADby6yQPWmt/6B0EAEa0KNCe65t+lOR5Vd0+1ze9m+TJmZ+/\nSvL6bpICwHLbLhz2IMnHZzfMG78Pkryx5bEB4OhV1ZMkj1trv91w/5WP09PTacMCMJTT09OVbcAB\n+s7gobm3M/+m57ntn863fZDZyNvbrbU/Xn9EAFittpkLsKoeJ8n5xrCqHiS52Vr75QX7t/n+G2cA\nuKpZx2Tar0hMOyftmNmS3edbdCJbawfZm7xIVT1M8uJsgXb+TZVP1uy2eJ02lqMx+r0TRnRobWxV\nfZXk89bavXPbv51v/9GZbY+XFHSvci5tLLCx6/jcsnpe1RGmE1g3J+2o+bY9z2Zt7LYjaZ8lebAo\n1p7xIN/9+ggAcAVV9VqStmQEra9jAsD3fZnkZu8QALCprUbSJklVPU3y4yRfZ1acfSOzuYD+col9\n/QUS2LmRR1yNnC0xknZX5guFPZk/Fv/tJ0luJfnyMqN/tLEck9HvnTCiY2hj5/PU/jnJk9bam2e2\nf5i/T9t3kuTlLFlgbM1xtbHAxq5nJO0qI4xUXWfkfLsfSbvVwmHzE96bN3KvJfkwya+tPA0AW/kw\nyT/m7ytUL7Qk7+48DQDsp7ezvO08aa39ZvFDVb2a2bdEf7jDbACTWfZHo1HmH1/1B62R8/XKNsVI\n2geZrY65mHz9ZP7vVy76S6S/QAI9jDziauRsiZG0+0QbyzEZ/d4JIzr0Nnb+rZSnSV5rrf3hEq//\nNrPRtGvXVZm/VhsLbGxXn1s2O8/uPlONnG/7/486zEk7X9Dkbmvtf83/Enk7yf/NbPqD36zdGQAA\nAK7Hr5M8uEyBdu55kjcvfBUAXJNtFw57L2e+OtJa+6a19sZ822uXPUhVrXycnp5uGRGAkZ2enq5s\nAwAArqqqniR5vGTxzVTVx/Pp+pa5fcXz6McCHK3TzEbMLntsZuPpDqrqJMnT1trSeXuq6tvW2toi\nsK+JAD2M/LXYkbMlpjvYJ9pYjsno904Y0aG2sfNve744W6Ctqldaa5/M//0iyX+11n52br+vkvzn\n+e0rzqGNBTZmuoP5MwPn27vpDlprXye5VVU3vxdlVsB9tumxAQAA4Cqq6rUkbckI2tfP/PvDJQXa\nO0luJnlyzREBYKWtFg6br4L5dmvtn89tf5zk/dbaXy7Y318ggZ0becTVyNkSI2n3iTaWY3Id06P4\n3eHQHVobO18o7Mn8sfhvOklyK8mXrbV35q+7m+TN1tp7Z/Z9kuQHlxlFO3+9NhbY2OYjSKe2LMPI\n2RbnGjnfd8951Tb2xqZx5if7fVV9PZ/T50WSrzNrCC8s0AIAwBQUSoAkHyb5xyQPz21v+e46Kp/N\n5419PN90K8l/tNZ+tZOUABubdrDMtEbOloyfb37knh9q/QUS6GHk0aojZ0uMpN0n2lgA1tHGbk4b\nC2xjlLlYpx1Ju4tsm55rl/nOvmaHc9ICAAAAALA9RVoAAAAAgI4UaQEAAAAAOlKkBQAAAADo6Ebv\nAAB9jLxGxsjZkvHzAQAAjGyEPtWqDCNnu+i5XbmeDIq0wNEZeSXekbMl4+cDAAAY2SZ9qqrpi4JT\n9e1Gzpb0ybfpOU13AAAAAADQkSItAAAAAEBHirQAAAAAAB0p0gIAAAAAdGThMAAAAABgQ9MvzjWt\n0fPNKNICAAAAABtqEx7rOgqqo+ebMd0BAAAAAEBHirQAAAAAAB0p0gIAAAAAdKRICwAAAADQkSIt\nAAAAAEBHN3oHAAAAAADWqd4BuGaKtAAAAAAwqNZa7wjsgOkOAAAAAAA6UqQFAAAAAOhIkRYAAAAA\noCNFWgAAAACAjiwcBjCQqulX7JxykvnR8wEAALCZzft76/Zb1d9bvc/0/c6r5lt//uvoFyeKtAAD\nmrJoeR2Nx+j5AAAA2Mwu+3tXPVdtsM9Fx1tlm/Ns1s813QEAAAAAQEeKtAAAAAAAHSnSAgAAAAB0\npEgLAAAAANCRIi0AAAAAQEc3egcAAAAAAA5R9Q5wgXHyKdICAAAAAJNrrS3dXjVGcXRZvl7ZTHcA\nAAAAANCRIi0AAAAAQEeKtAAAAAAAHSnSAgAAAAB0ZOEwAAAAAGAD6xfZWr8I16rnli82tplN863b\nb8p8f6dICwAAAABsaHdF1c2Mnm/GdAcAAAAAAB0p0gIAAAAAdKRICwAAAADQkSItAAAAAEBHirQA\nAAAAAB3d6B0AgPOub7XIaYyeDwAAgM2M0N9bl2H0fJtTpAUYSGutd4S1Rs8HAADAZjbp71VNX7Cc\nst/ZI9+m5zy46Q5OT097R9hbrt3mXLvNuG6bc+3g8vy+sOC9wIL3AtfFe2vGdZhxHVyDBdchSU57\nBxhe9RwVVVUtmb5CbqTXZly7zbl2m3HdNncs127xF8jW2gjfadkr19HG7qtj+X3hYt4LLHgvaGO3\nsa6N9d6acR1mXAfXYOGQr8OsPbnMf9vlXzf9SNopr/3F+TZtYw9uJC0AAAAAwD5RpAUAAAAA6EiR\nFgAAAACgI0VaAAAAAICOFGkBAAAAADqqnqvLLVbFBIB1rDx9ddpYAC5DG3t12lgALuOqbayRtAAA\nAAAAHXUdSQsAAAAAcOyMpAUAAAAA6EiRFgAAAACgI0VaAAAAAICOFGkBAAAAADpSpAUAAAAA6EiR\nFgAAAACgI0VaAAAAAICOFGkBAAAAADpSpAUAAAAA6EiRFgAAAACgI0VaAAAAAICOFGkBAAAAADr6\n/wEdT4rtZ3/oFAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109e43990>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 224,
       "width": 692
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax_A, ax_B, ax_C) = plt.subplots(1, 3, figsize=(12, 4))\n",
    "ax_A.spy(A)\n",
    "ax_B.spy(B)\n",
    "ax_C.spy(C)\n",
    "fig.savefig(\"ch10-sparse-matrix-2.pdf\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sparse linear algebra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "N = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = sp.diags([1, -2, 1], [1, 0, -1], shape=[N, N], format='csc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "b = -np.ones(N)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x = sp.linalg.spsolve(A, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  5.,   9.,  12.,  14.,  15.,  15.,  14.,  12.,   9.,   5.])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  5.,   9.,  12.,  14.,  15.,  15.,  14.,  12.,   9.,   5.])"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.linalg.solve(A.todense(), b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "lu = sp.linalg.splu(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<10x10 sparse matrix of type '<type 'numpy.float64'>'\n",
       "\twith 20 stored elements in Compressed Sparse Column format>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lu.L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 8, 7, 9], dtype=int32)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lu.perm_r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<10x10 sparse matrix of type '<type 'numpy.float64'>'\n",
       "\twith 20 stored elements in Compressed Sparse Column format>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lu.U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 8, 7, 9], dtype=int32)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lu.perm_c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def sp_permute(A, perm_r, perm_c):\n",
    "    \"\"\" permute rows and columns of A \"\"\"\n",
    "    M, N = A.shape\n",
    "    # row permumation matrix\n",
    "    Pr = sp.coo_matrix((np.ones(M), (perm_r, np.arange(N)))).tocsr()\n",
    "    # column permutation matrix\n",
    "    Pc = sp.coo_matrix((np.ones(M), (np.arange(M), perm_c))).tocsr()\n",
    "    return Pr.T * A * Pc.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<10x10 sparse matrix of type '<type 'numpy.float64'>'\n",
       "\twith 8 stored elements in Compressed Sparse Column format>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lu.L * lu.U - A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<10x10 sparse matrix of type '<type 'numpy.float64'>'\n",
       "\twith 0 stored elements in Compressed Sparse Column format>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sp_permute(lu.L * lu.U, lu.perm_r, lu.perm_c) - A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x10985a810>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RjAWA/ZCxAHQ0d0/aBxHxyfMPbAPtg4h4a+baAHDMZCwA7IeMBaCduSXt3Yj4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\nAABQSEkLAAAAAFDo/wPMlhGLGNMcLAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109b59890>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 224,
       "width": 692
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(12, 4))\n",
    "ax1.spy(lu.L)\n",
    "ax2.spy(lu.U)\n",
    "ax3.spy(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x = lu.solve(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  5.,   9.,  12.,  14.,  15.,  15.,  14.,  12.,   9.,   5.])"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# use_umfpack=True is only effective if scikit-umfpack is installed\n",
    "# (in which case UMFPACK is the default solver)\n",
    "x = sp.linalg.spsolve(A, b, use_umfpack=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  5.,   9.,  12.,  14.,  15.,  15.,  14.,  12.,   9.,   5.])"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x, info = sp.linalg.cg(A, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  5.,   9.,  12.,  14.,  15.,  15.,  14.,  12.,   9.,   5.])"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x, info = sp.linalg.bicgstab(A, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  5.,   9.,  12.,  14.,  15.,  15.,  14.,  12.,   9.,   5.])"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x, info = sp.linalg.lgmres(A, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  5.,   9.,  12.,  14.,  15.,  15.,  14.,  12.,   9.,   5.])"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "N = 25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = sp.diags([1, -2, 1], [8, 0, -8], shape=[N, N], format='csc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### An example of a matrix reording method: Reverse Cuthil McKee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 7, 15, 23,  1,  9, 17,  2, 10, 18,  3, 11, 19,  4, 12, 20,  5, 13,\n",
       "       21,  6, 14, 22, 24, 16,  8,  0], dtype=int32)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perm = sp.csgraph.reverse_cuthill_mckee(A)\n",
    "perm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x105c2cf10>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9A7eRmUO201obsh2mtP67760HdVCROgAYq/dvqzF/mwH0KBVqI0b88WnwrWtk+FAHdakD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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109850e10>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 230,
       "width": 474
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4))\n",
    "ax1.spy(A)\n",
    "ax2.spy(sp_permute(A, perm, perm))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Performance comparison sparse/dense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAAAA1LVcIc6aNX6MaoiTrRKn0J44Uu0qcebm/Fwlqa3Njzt3Si+/vEeSae3a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idAEtKYqEP1CgAASFKtKnEIcVJEiNO4dttNevZZN5L7vPOke+6RfvhD6ZxzgvvMtE3+mXo/8WWd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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a41c850>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 280,
       "width": 568
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare performance of solving Ax=b vs system size N,\n",
    "# where A is the sparse matrix for the 1d poisson problem\n",
    "import time\n",
    "\n",
    "def setup(N):\n",
    "    A = sp.diags([1,-2,1], [1,0,-1], shape=[N, N], format='csr')\n",
    "    b = -np.ones(N)\n",
    "    return A, A.todense(), b\n",
    "\n",
    "reps = 10\n",
    "N_vec = np.arange(2, 300, 1)\n",
    "t_sparse = np.empty(len(N_vec))\n",
    "t_dense = np.empty(len(N_vec))\n",
    "for idx, N in enumerate(N_vec):\n",
    "    A, A_dense, b = setup(N)\n",
    "    t = time.time()\n",
    "    for r in range(reps):\n",
    "        x = np.linalg.solve(A_dense, b)\n",
    "    t_dense[idx] = (time.time() - t)/reps\n",
    "    t = time.time()\n",
    "    for r in range(reps):\n",
    "        #x = la.solve(A_dense, b)\n",
    "        x = sp.linalg.spsolve(A, b, use_umfpack=True)\n",
    "    t_sparse[idx] = (time.time() - t)/reps\n",
    "    \n",
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "ax.plot(N_vec, t_dense * 1e3, '.-', label=\"dense\")\n",
    "ax.plot(N_vec, t_sparse * 1e3, '.-', label=\"sparse\")\n",
    "ax.set_xlabel(r\"$N$\", fontsize=16)\n",
    "ax.set_ylabel(\"elapsed time (ms)\", fontsize=16)\n",
    "ax.legend(loc=0)\n",
    "fig.tight_layout()\n",
    "fig.savefig(\"ch10-sparse-vs-dense.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Eigenvalue problems"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "N = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = sp.diags([1, -2, 1], [1, 0, -1], shape=[N, N], format='csc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals, evecs = sp.linalg.eigs(A, k=4, which='LM')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-3.91898595+0.j, -3.68250707+0.j, -3.30972147+0.j, -2.83083003+0.j])"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.allclose(A.dot(evecs[:,0]), evals[0] * evecs[:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals, evecs = sp.linalg.eigsh(A, k=4, which='LM')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-3.91898595, -3.68250707, -3.30972147, -2.83083003])"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals, evecs = sp.linalg.eigs(A, k=4, which='SR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-3.91898595+0.j, -3.68250707+0.j, -3.30972147+0.j, -2.83083003+0.j])"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3])"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.real(evals).argsort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def sp_eigs_sorted(A, k=6, which='SR'):\n",
    "    \"\"\" compute and return eigenvalues sorted by real value \"\"\"\n",
    "    evals, evecs = sp.linalg.eigs(A, k=k, which=which)\n",
    "    idx = np.real(evals).argsort()\n",
    "    return evals[idx], evecs[idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals, evecs = sp_eigs_sorted(A, k=4, which='SM')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-1.16916997+0.j, -0.69027853+0.j, -0.31749293+0.j, -0.08101405+0.j])"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Random matrix example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "N = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x_vec = np.linspace(0, 1, 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# seed sp.rand with random_state to obtain a reproducible result\n",
    "M1 = sp.rand(N, N, density=0.2, random_state=112312321)\n",
    "M2 = sp.rand(N, N, density=0.2, random_state=984592134)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals = np.array([sp_eigs_sorted((1-x)*M1 + x*M2, k=25)[0] for x in x_vec])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ulK4ulFAYraCApP0OJu+gE7Any24fg86PP8Lpp8O++8Ijj8BO9k8SO6Yr0MWZ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ZYZiYyOrAw0ajkYJgDh+WtgsXICxMEmweewzatwfjhj812WjJLixnwabtbI3dSL7x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u06EegfiZuTMgFGlpX8a9Uq5ZKcDEOHwtixyhvdV2MrikJ9DcnZxaQWFJFZWkyOoYjC6iLK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\nWQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109b58d50>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 280,
       "width": 568
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "\n",
    "for idx in range(evals.shape[1]):\n",
    "    ax.plot(x_vec, np.real(evals[:,idx]), lw=0.5)\n",
    "\n",
    "ax.set_xlabel(r\"$x$\", fontsize=16)\n",
    "ax.set_ylabel(r\"eig.vals. of $(1-x)M_1+xM_2$\", fontsize=16)\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.savefig(\"ch10-sparse-eigs.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g = nx.MultiGraph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_node(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_nodes_from([3, 4, 5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 3, 4, 5]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_edge(1, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 2)]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_edges_from([(3, 4), (5, 6)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 2), (3, 4), (5, 6)]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_weighted_edges_from([(1, 3, 1.5), (3, 5, 2.5)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 2, {}),\n",
       " (1, 3, {'weight': 1.5}),\n",
       " (3, 4, {}),\n",
       " (3, 5, {'weight': 2.5}),\n",
       " (5, 6, {})]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges(data=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_weighted_edges_from([(6, 7, 1.5)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, 6, 7]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 2), (1, 3), (3, 4), (3, 5), (5, 6), (6, 7)]"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open(\"tokyo-metro.json\") as f:\n",
    "    data = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'C', u'G', u'F', u'H', u'M', u'N', u'T', u'Y', u'Z']"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'color': u'#149848',\n",
       " u'transfers': [[u'C3', u'F15'],\n",
       "  [u'C4', u'Z2'],\n",
       "  [u'C4', u'G2'],\n",
       "  [u'C7', u'M14'],\n",
       "  [u'C7', u'N6'],\n",
       "  [u'C7', u'G6'],\n",
       "  [u'C8', u'M15'],\n",
       "  [u'C8', u'H6'],\n",
       "  [u'C9', u'H7'],\n",
       "  [u'C9', u'Y18'],\n",
       "  [u'C11', u'T9'],\n",
       "  [u'C11', u'M18'],\n",
       "  [u'C11', u'Z8'],\n",
       "  [u'C12', u'M19'],\n",
       "  [u'C18', u'H21']],\n",
       " u'travel_times': [[u'C1', u'C2', 2],\n",
       "  [u'C2', u'C3', 2],\n",
       "  [u'C3', u'C4', 1],\n",
       "  [u'C4', u'C5', 2],\n",
       "  [u'C5', u'C6', 2],\n",
       "  [u'C6', u'C7', 2],\n",
       "  [u'C7', u'C8', 1],\n",
       "  [u'C8', u'C9', 3],\n",
       "  [u'C9', u'C10', 1],\n",
       "  [u'C10', u'C11', 2],\n",
       "  [u'C11', u'C12', 2],\n",
       "  [u'C12', u'C13', 2],\n",
       "  [u'C13', u'C14', 2],\n",
       "  [u'C14', u'C15', 2],\n",
       "  [u'C15', u'C16', 2],\n",
       "  [u'C16', u'C17', 3],\n",
       "  [u'C17', u'C18', 3],\n",
       "  [u'C18', u'C19', 3]]}"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"C\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'C': {u'color': u'#149848',\n",
       "  u'transfers': [[u'C3', u'F15'],\n",
       "   [u'C4', u'Z2'],\n",
       "   [u'C4', u'G2'],\n",
       "   [u'C7', u'M14'],\n",
       "   [u'C7', u'N6'],\n",
       "   [u'C7', u'G6'],\n",
       "   [u'C8', u'M15'],\n",
       "   [u'C8', u'H6'],\n",
       "   [u'C9', u'H7'],\n",
       "   [u'C9', u'Y18'],\n",
       "   [u'C11', u'T9'],\n",
       "   [u'C11', u'M18'],\n",
       "   [u'C11', u'Z8'],\n",
       "   [u'C12', u'M19'],\n",
       "   [u'C18', u'H21']],\n",
       "  u'travel_times': [[u'C1', u'C2', 2],\n",
       "   [u'C2', u'C3', 2],\n",
       "   [u'C3', u'C4', 1],\n",
       "   [u'C4', u'C5', 2],\n",
       "   [u'C5', u'C6', 2],\n",
       "   [u'C6', u'C7', 2],\n",
       "   [u'C7', u'C8', 1],\n",
       "   [u'C8', u'C9', 3],\n",
       "   [u'C9', u'C10', 1],\n",
       "   [u'C10', u'C11', 2],\n",
       "   [u'C11', u'C12', 2],\n",
       "   [u'C12', u'C13', 2],\n",
       "   [u'C13', u'C14', 2],\n",
       "   [u'C14', u'C15', 2],\n",
       "   [u'C15', u'C16', 2],\n",
       "   [u'C16', u'C17', 3],\n",
       "   [u'C17', u'C18', 3],\n",
       "   [u'C18', u'C19', 3]]},\n",
       " u'F': {u'color': u'#b96528',\n",
       "  u'transfers': [[u'F1', u'Y1'],\n",
       "   [u'F2', u'Y2'],\n",
       "   [u'F3', u'Y3'],\n",
       "   [u'F4', u'Y4'],\n",
       "   [u'F5', u'Y5'],\n",
       "   [u'F6', u'Y6'],\n",
       "   [u'F7', u'Y7'],\n",
       "   [u'F8', u'Y8'],\n",
       "   [u'F9', u'Y9'],\n",
       "   [u'F9', u'M25'],\n",
       "   [u'F13', u'M9'],\n",
       "   [u'F15', u'C3'],\n",
       "   [u'F16', u'Z1'],\n",
       "   [u'F16', u'G1']],\n",
       "  u'travel_times': [[u'F1', u'F2', 3],\n",
       "   [u'F2', u'F3', 2],\n",
       "   [u'F3', u'F4', 3],\n",
       "   [u'F4', u'F5', 2],\n",
       "   [u'F5', u'F6', 2],\n",
       "   [u'F6', u'F7', 2],\n",
       "   [u'F7', u'F8', 2],\n",
       "   [u'F8', u'F9', 2],\n",
       "   [u'F9', u'F10', 3],\n",
       "   [u'F10', u'F11', 2],\n",
       "   [u'F11', u'F12', 2],\n",
       "   [u'F12', u'F13', 2],\n",
       "   [u'F13', u'F14', 3],\n",
       "   [u'F14', u'F15', 2],\n",
       "   [u'F15', u'F16', 2]]},\n",
       " u'G': {u'color': u'#f59230',\n",
       "  u'transfers': [[u'G1', u'Z1'],\n",
       "   [u'G1', u'F16'],\n",
       "   [u'G2', u'Z2'],\n",
       "   [u'G2', u'C4'],\n",
       "   [u'G4', u'Z3'],\n",
       "   [u'G5', u'M13'],\n",
       "   [u'G5', u'Y16'],\n",
       "   [u'G5', u'Z4'],\n",
       "   [u'G5', u'N7'],\n",
       "   [u'G6', u'N6'],\n",
       "   [u'G6', u'M14'],\n",
       "   [u'G6', u'C7'],\n",
       "   [u'G9', u'M16'],\n",
       "   [u'G9', u'H8'],\n",
       "   [u'G11', u'T10'],\n",
       "   [u'G12', u'Z9'],\n",
       "   [u'G15', u'H16'],\n",
       "   [u'G16', u'H17']],\n",
       "  u'travel_times': [[u'G1', u'G2', 2],\n",
       "   [u'G2', u'G3', 1],\n",
       "   [u'G3', u'G4', 2],\n",
       "   [u'G4', u'G5', 2],\n",
       "   [u'G5', u'G6', 2],\n",
       "   [u'G6', u'G7', 2],\n",
       "   [u'G7', u'G8', 2],\n",
       "   [u'G8', u'G9', 2],\n",
       "   [u'G9', u'G10', 1],\n",
       "   [u'G10', u'G11', 2],\n",
       "   [u'G11', u'G12', 2],\n",
       "   [u'G12', u'G13', 1],\n",
       "   [u'G13', u'G14', 2],\n",
       "   [u'G14', u'G15', 2],\n",
       "   [u'G15', u'G16', 1],\n",
       "   [u'G16', u'G17', 2],\n",
       "   [u'G17', u'G18', 1],\n",
       "   [u'G18', u'G19', 2]]},\n",
       " u'H': {u'color': u'#9cacb5',\n",
       "  u'transfers': [[u'H6', u'M15'],\n",
       "   [u'H6', u'C8'],\n",
       "   [u'H7', u'Y18'],\n",
       "   [u'H7', u'C9'],\n",
       "   [u'H8', u'M16'],\n",
       "   [u'H8', u'G9'],\n",
       "   [u'H12', u'T11'],\n",
       "   [u'H16', u'G15'],\n",
       "   [u'H17', u'G16'],\n",
       "   [u'H21', u'C18']],\n",
       "  u'travel_times': [[u'H1', u'H2', 3],\n",
       "   [u'H2', u'H3', 3],\n",
       "   [u'H3', u'H4', 3],\n",
       "   [u'H4', u'H5', 3],\n",
       "   [u'H5', u'H6', 2],\n",
       "   [u'H6', u'H7', 3],\n",
       "   [u'H7', u'H8', 1],\n",
       "   [u'H8', u'H9', 2],\n",
       "   [u'H9', u'H10', 2],\n",
       "   [u'H10', u'H11', 2],\n",
       "   [u'H11', u'H12', 1],\n",
       "   [u'H12', u'H13', 3],\n",
       "   [u'H13', u'H14', 1],\n",
       "   [u'H14', u'H15', 2],\n",
       "   [u'H15', u'H16', 2],\n",
       "   [u'H16', u'H17', 1],\n",
       "   [u'H17', u'H18', 2],\n",
       "   [u'H18', u'H19', 2],\n",
       "   [u'H19', u'H20', 2],\n",
       "   [u'H20', u'H21', 3]]},\n",
       " u'M': {u'color': u'#ff0000',\n",
       "  u'transfers': [[u'M9', u'F13'],\n",
       "   [u'M12', u'N8'],\n",
       "   [u'M13', u'G5'],\n",
       "   [u'M13', u'Y16'],\n",
       "   [u'M13', u'Z4'],\n",
       "   [u'M13', u'N7'],\n",
       "   [u'M14', u'C7'],\n",
       "   [u'M14', u'G6'],\n",
       "   [u'M14', u'N6'],\n",
       "   [u'M15', u'H6'],\n",
       "   [u'M15', u'C8'],\n",
       "   [u'M16', u'G9'],\n",
       "   [u'M16', u'H8'],\n",
       "   [u'M18', u'T9'],\n",
       "   [u'M18', u'C11'],\n",
       "   [u'M18', u'Z8'],\n",
       "   [u'M19', u'C12'],\n",
       "   [u'M22', u'N11'],\n",
       "   [u'M25', u'Y9'],\n",
       "   [u'M25', u'F9']],\n",
       "  u'travel_times': [[u'M1', u'M2', 2],\n",
       "   [u'M2', u'M3', 2],\n",
       "   [u'M3', u'M4', 2],\n",
       "   [u'M4', u'M5', 2],\n",
       "   [u'M5', u'M6', 2],\n",
       "   [u'M6', u'M7', 2],\n",
       "   [u'M7', u'M8', 2],\n",
       "   [u'M8', u'M9', 2],\n",
       "   [u'M9', u'M10', 1],\n",
       "   [u'M10', u'M11', 2],\n",
       "   [u'M11', u'M12', 2],\n",
       "   [u'M12', u'M13', 3],\n",
       "   [u'M13', u'M14', 2],\n",
       "   [u'M14', u'M15', 1],\n",
       "   [u'M15', u'M16', 3],\n",
       "   [u'M16', u'M17', 2],\n",
       "   [u'M17', u'M18', 2],\n",
       "   [u'M18', u'M19', 2],\n",
       "   [u'M19', u'M20', 1],\n",
       "   [u'M20', u'M21', 2],\n",
       "   [u'M21', u'M22', 2],\n",
       "   [u'M22', u'M23', 3],\n",
       "   [u'M23', u'M24', 2],\n",
       "   [u'M24', u'M25', 3],\n",
       "   [u'm3', u'm4', 2],\n",
       "   [u'm4', u'm5', 2],\n",
       "   [u'm5', u'M6', 2]]},\n",
       " u'N': {u'color': u'#1aaca9',\n",
       "  u'transfers': [[u'N1', u'T1'],\n",
       "   [u'N2', u'T2'],\n",
       "   [u'N3', u'T3'],\n",
       "   [u'N6', u'G6'],\n",
       "   [u'N6', u'M14'],\n",
       "   [u'N6', u'C7'],\n",
       "   [u'N7', u'Y16'],\n",
       "   [u'N7', u'Z4'],\n",
       "   [u'N7', u'G5'],\n",
       "   [u'N7', u'M13'],\n",
       "   [u'N8', u'M12'],\n",
       "   [u'N9', u'Y14'],\n",
       "   [u'N10', u'Y13'],\n",
       "   [u'N10', u'T6'],\n",
       "   [u'N11', u'M22']],\n",
       "  u'travel_times': [[u'N1', u'N2', 2],\n",
       "   [u'N2', u'N3', 2],\n",
       "   [u'N3', u'N4', 2],\n",
       "   [u'N4', u'N5', 2],\n",
       "   [u'N5', u'N6', 2],\n",
       "   [u'N6', u'N7', 2],\n",
       "   [u'N7', u'N8', 2],\n",
       "   [u'N8', u'N9', 2],\n",
       "   [u'N9', u'N10', 2],\n",
       "   [u'N10', u'N11', 2],\n",
       "   [u'N11', u'N12', 3],\n",
       "   [u'N12', u'N13', 2],\n",
       "   [u'N13', u'N14', 2],\n",
       "   [u'N14', u'N15', 3],\n",
       "   [u'N15', u'N16', 1],\n",
       "   [u'N16', u'N17', 3],\n",
       "   [u'N17', u'N18', 2],\n",
       "   [u'N18', u'N19', 2]]},\n",
       " u'T': {u'color': u'#1aa7d8',\n",
       "  u'transfers': [[u'T6', u'N10'],\n",
       "   [u'T6', u'Y13'],\n",
       "   [u'T7', u'Z6'],\n",
       "   [u'T9', u'M18'],\n",
       "   [u'T9', u'C11'],\n",
       "   [u'T9', u'Z8'],\n",
       "   [u'T10', u'G11'],\n",
       "   [u'T11', u'H12']],\n",
       "  u'travel_times': [[u'T1', u'T2', 0],\n",
       "   [u'T2', u'T3', 3],\n",
       "   [u'T3', u'T4', 6],\n",
       "   [u'T4', u'T5', 9],\n",
       "   [u'T5', u'T6', 11],\n",
       "   [u'T6', u'T7', 13],\n",
       "   [u'T7', u'T8', 14],\n",
       "   [u'T8', u'T9', 16],\n",
       "   [u'T9', u'T10', 18],\n",
       "   [u'T10', u'T11', 20],\n",
       "   [u'T11', u'T12', 21],\n",
       "   [u'T12', u'T13', 24],\n",
       "   [u'T13', u'T14', 26],\n",
       "   [u'T14', u'T15', 27],\n",
       "   [u'T15', u'T16', 30],\n",
       "   [u'T16', u'T17', 33],\n",
       "   [u'T17', u'T18', 35],\n",
       "   [u'T18', u'T19', 37],\n",
       "   [u'T19', u'T20', 39],\n",
       "   [u'T20', u'T21', 41],\n",
       "   [u'T21', u'T22', 43],\n",
       "   [u'T22', u'T23', 46],\n",
       "   [u'T23', u'T24', 49]]},\n",
       " u'Y': {u'color': u'#ede7c3',\n",
       "  u'transfers': [[u'Y1', u'F1'],\n",
       "   [u'Y2', u'F2'],\n",
       "   [u'Y3', u'F3'],\n",
       "   [u'Y4', u'F4'],\n",
       "   [u'Y5', u'F5'],\n",
       "   [u'Y6', u'F6'],\n",
       "   [u'Y7', u'F7'],\n",
       "   [u'Y8', u'F8'],\n",
       "   [u'Y9', u'F9'],\n",
       "   [u'Y9', u'M25'],\n",
       "   [u'Y13', u'T6'],\n",
       "   [u'Y13', u'N10'],\n",
       "   [u'Y14', u'N9'],\n",
       "   [u'Y16', u'Z4'],\n",
       "   [u'Y16', u'N7'],\n",
       "   [u'Y16', u'G5'],\n",
       "   [u'Y16', u'M13'],\n",
       "   [u'Y18', u'H7'],\n",
       "   [u'Y18', u'C9']],\n",
       "  u'travel_times': [[u'Y1', u'Y2', 4],\n",
       "   [u'Y2', u'Y3', 2],\n",
       "   [u'Y3', u'Y4', 3],\n",
       "   [u'Y4', u'Y5', 2],\n",
       "   [u'Y5', u'Y6', 2],\n",
       "   [u'Y6', u'Y7', 2],\n",
       "   [u'Y7', u'Y8', 2],\n",
       "   [u'Y8', u'Y9', 3],\n",
       "   [u'Y9', u'Y10', 2],\n",
       "   [u'Y10', u'Y11', 2],\n",
       "   [u'Y11', u'Y12', 2],\n",
       "   [u'Y12', u'Y13', 3],\n",
       "   [u'Y13', u'Y14', 2],\n",
       "   [u'Y14', u'Y15', 2],\n",
       "   [u'Y15', u'Y16', 1],\n",
       "   [u'Y16', u'Y17', 2],\n",
       "   [u'Y17', u'Y18', 2],\n",
       "   [u'Y18', u'Y19', 2],\n",
       "   [u'Y19', u'Y20', 2],\n",
       "   [u'Y20', u'Y21', 2],\n",
       "   [u'Y21', u'Y22', 2],\n",
       "   [u'Y22', u'Y23', 3],\n",
       "   [u'Y23', u'Y24', 2]]},\n",
       " u'Z': {u'color': u'#a384bf',\n",
       "  u'transfers': [[u'Z1', u'F16'],\n",
       "   [u'Z1', u'G1'],\n",
       "   [u'Z2', u'C4'],\n",
       "   [u'Z2', u'G2'],\n",
       "   [u'Z3', u'G4'],\n",
       "   [u'Z4', u'Y16'],\n",
       "   [u'Z4', u'N7'],\n",
       "   [u'Z4', u'M13'],\n",
       "   [u'Z4', u'G5'],\n",
       "   [u'Z6', u'T7'],\n",
       "   [u'Z8', u'M18'],\n",
       "   [u'Z8', u'C11'],\n",
       "   [u'Z8', u'T9'],\n",
       "   [u'Z9', u'G12']],\n",
       "  u'travel_times': [[u'Z1', u'Z2', 3],\n",
       "   [u'Z2', u'Z3', 2],\n",
       "   [u'Z3', u'Z4', 2],\n",
       "   [u'Z4', u'Z5', 2],\n",
       "   [u'Z5', u'Z6', 2],\n",
       "   [u'Z6', u'Z7', 2],\n",
       "   [u'Z7', u'Z8', 2],\n",
       "   [u'Z8', u'Z9', 2],\n",
       "   [u'Z9', u'Z10', 3],\n",
       "   [u'Z10', u'Z11', 3],\n",
       "   [u'Z11', u'Z12', 3],\n",
       "   [u'Z12', u'Z13', 2],\n",
       "   [u'Z13', u'Z14', 2]]}}"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g = nx.Graph()\n",
    "\n",
    "for line in data.values():\n",
    "    g.add_weighted_edges_from(line[\"travel_times\"])\n",
    "    g.add_edges_from(line[\"transfers\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for n1, n2 in g.edges_iter():\n",
    "    g[n1][n2][\"transfer\"] = \"weight\" not in g[n1][n2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "184"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.number_of_nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'Z13', u'N1', u'Y20', u'Y21', u'Y22']"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.nodes()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "243"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.number_of_edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'Z13', u'Z14'),\n",
       " (u'Z13', u'Z12'),\n",
       " (u'N1', u'N2'),\n",
       " (u'N1', u'T1'),\n",
       " (u'Y20', u'Y21')]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "on_foot = [edge for edge in g.edges_iter() if g.get_edge_data(*edge)[\"transfer\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "on_train = [edge for edge in g.edges_iter() if not g.get_edge_data(*edge)[\"transfer\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "colors = [data[n[0].upper()][\"color\"] for n in g.nodes()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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IJFNS3q3g74v7f2kz9h+TrE359QDHdzBX75RfG5AkS5Ys2brmAQCghxGiAwAA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gOft8sGw9P/8U+8XnsFtY3y9q6P9EcXHcOCBQt44403UKvv3rcBS8r426qmMXtAMIEe139/BLo7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EIIIYT4t5IguhBCCCGEEEII8S9TvXp19u3bh5ubW7bzPkVM06wDXLifTNkiTwPot6PScBp5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\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zc40XPvkz0sPCdM71fJ3CwACT5s0BWL36Tf1kyi0zM5OvvvqKBg0aaB1jkIYm4H2niOa5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f300SQnp9Cl60hGfNSLsNBt+JTxpM+ACcZxW/8IYu+OxYRd/BMXF0cmTTEkzbt3fcMkphBC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GrZmFN/wzr5/w19TcPimd91o/nbZbc/kBSlq/LOtZleoDB7acu+S1unQ5fPMkSdObi9O8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\nnt/97nfZf//9s6iuLlf94sJ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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a1ff610>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 712,
       "width": 1000
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(14, 10))\n",
    "\n",
    "pos = nx.graphviz_layout(g, prog=\"neato\")\n",
    "nx.draw(g, pos, ax=ax, node_size=200, node_color=colors)\n",
    "nx.draw_networkx_labels(g, pos=pos, ax=ax, font_size=6)\n",
    "nx.draw_networkx_edges(g, pos=pos, ax=ax, edgelist=on_train, width=2)\n",
    "nx.draw_networkx_edges(g, pos=pos, ax=ax, edgelist=on_foot, edge_color=\"blue\")\n",
    "\n",
    "# removing the default axis on all sides:\n",
    "for side in ['bottom','right','top','left']:\n",
    "    ax.spines[side].set_visible(False)\n",
    "\n",
    "# removing the axis labels and ticks\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "ax.xaxis.set_ticks_position('none')\n",
    "ax.yaxis.set_ticks_position('none')\n",
    "\n",
    "fig.savefig(\"ch10-metro-graph.pdf\")\n",
    "fig.savefig(\"ch10-metro-graph.png\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#g.degree()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "d_max = max(g.degree().values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'G5', 6), (u'Y16', 6), (u'Z4', 6), (u'N7', 6), (u'M13', 6)]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[(n, d) for (n, d) in g.degree().items() if d == d_max]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "p = nx.shortest_path(g, \"Y24\", \"C19\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([u'Y24', u'Y23', u'Y22', u'Y21', u'Y20', u'Y19', u'Y18', u'C9',\n",
       "       u'C10', u'C11', u'C12', u'C13', u'C14', u'C15', u'C16', u'C17',\n",
       "       u'C18', u'C19'], \n",
       "      dtype='<U3')"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum([g[p[n]][p[n+1]][\"weight\"] for n in range(len(p)-1) if \"weight\" in g[p[n]][p[n+1]]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "h = g.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for n1, n2 in h.edges_iter():\n",
    "    if \"transfer\" in h[n1][n2]:\n",
    "        h[n1][n2][\"weight\"] = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "p = nx.shortest_path(h, \"Y24\", \"C19\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([u'Y24', u'Y23', u'Y22', u'Y21', u'Y20', u'Y19', u'Y18', u'C9',\n",
       "       u'C10', u'C11', u'C12', u'C13', u'C14', u'C15', u'C16', u'C17',\n",
       "       u'C18', u'C19'], \n",
       "      dtype='<U3')"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "85"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum([h[p[n]][p[n+1]][\"weight\"] for n in range(len(p)-1)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "p = nx.shortest_path(h, \"Z1\", \"H16\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "65"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum([h[p[n]][p[n+1]][\"weight\"] for n in range(len(p)-1)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = nx.to_scipy_sparse_matrix(g)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<184x184 sparse matrix of type '<type 'numpy.int64'>'\n",
       "\twith 486 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "perm = sp.csgraph.reverse_cuthill_mckee(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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EaXFK3/aKu4BySeJwmD1GPfIdWVGVAwAsc44NXlaV3I8h1qhAKS0m6dveOW0G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\nHSMMddti/+ozuRLXADBsaOoV7GdxEqf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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a45e890>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 280,
       "width": 568
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4))\n",
    "ax1.spy(A, markersize=2)\n",
    "ax2.spy(sp_permute(A, perm, perm), markersize=2)\n",
    "fig.tight_layout()\n",
    "fig.savefig(\"ch12-rcm-graph.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Versions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%reload_ext version_information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/json": {
       "Software versions": [
        {
         "module": "Python",
         "version": "2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]"
        },
        {
         "module": "IPython",
         "version": "3.2.1"
        },
        {
         "module": "OS",
         "version": "Darwin 14.1.0 x86_64 i386 64bit"
        },
        {
         "module": "numpy",
         "version": "1.9.2"
        },
        {
         "module": "scipy",
         "version": "0.16.0"
        },
        {
         "module": "matplotlib",
         "version": "1.4.3"
        },
        {
         "module": "networkx",
         "version": "1.9.1"
        },
        {
         "module": "pygraphviz",
         "version": "1.2"
        }
       ]
      },
      "text/html": [
       "<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]</td></tr><tr><td>IPython</td><td>3.2.1</td></tr><tr><td>OS</td><td>Darwin 14.1.0 x86_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.9.2</td></tr><tr><td>scipy</td><td>0.16.0</td></tr><tr><td>matplotlib</td><td>1.4.3</td></tr><tr><td>networkx</td><td>1.9.1</td></tr><tr><td>pygraphviz</td><td>1.2</td></tr></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{|l|l|}\\hline\n",
       "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n",
       "Python & 2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)] \\\\ \\hline\n",
       "IPython & 3.2.1 \\\\ \\hline\n",
       "OS & Darwin 14.1.0 x86\\_64 i386 64bit \\\\ \\hline\n",
       "numpy & 1.9.2 \\\\ \\hline\n",
       "scipy & 0.16.0 \\\\ \\hline\n",
       "matplotlib & 1.4.3 \\\\ \\hline\n",
       "networkx & 1.9.1 \\\\ \\hline\n",
       "pygraphviz & 1.2 \\\\ \\hline\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "Software versions\n",
       "Python 2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]\n",
       "IPython 3.2.1\n",
       "OS Darwin 14.1.0 x86_64 i386 64bit\n",
       "numpy 1.9.2\n",
       "scipy 0.16.0\n",
       "matplotlib 1.4.3\n",
       "networkx 1.9.1\n",
       "pygraphviz 1.2\n",
       "Mon Aug 03 23:18:51 2015 JST"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%version_information numpy, scipy, matplotlib, networkx, pygraphviz"
   ]
  }
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