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 - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://www.apress.com/us/book/9781484242452) (ISBN 978-1-484242-45-2)."
   ]
  },
  {
   "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\n",
    "mpl.rcParams['mathtext.fontset'] = 'stix'\n",
    "mpl.rcParams['font.family'] = 'serif'\n",
    "mpl.rcParams['font.sans-serif'] = 'stix'"
   ]
  },
  {
   "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 '<class '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 '<class '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 is not subscriptable",
     "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-ddf538d85dd0>\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[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'coo_matrix' object is not subscriptable"
     ]
    }
   ],
   "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-d36988c1a0db>\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[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/miniconda3/envs/py3.6/lib/python3.6/site-packages/scipy/sparse/bsr.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    315\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    316\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[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 317\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    318\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    319\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[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 '<class '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], dtype=int64)"
      ]
     },
     "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], dtype=int64)"
      ]
     },
     "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 '<class '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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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 247
      },
      "needs_background": "light"
     },
     "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 '<class '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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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 247
      },
      "needs_background": "light"
     },
     "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 '<class '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 '<class '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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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 229,
       "width": 699
      },
      "needs_background": "light"
     },
     "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 '<class '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 '<class '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": [],
   "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": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<10x10 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 0 stored elements in Compressed Sparse Column format>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sp_permute(lu.L * lu.U, lu.perm_r, lu.perm_c) - A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0xa19f7f160>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 229,
       "width": 699
      },
      "needs_background": "light"
     },
     "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": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x = lu.solve(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 5.,  9., 12., 14., 15., 15., 14., 12.,  9.,  5.])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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": 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": [
    "x, info = sp.linalg.cg(A, b)"
   ]
  },
  {
   "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.bicgstab(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": [
    "# atol argument is a recent addition\n",
    "x, info = sp.linalg.lgmres(A, b, atol=1e-5)"
   ]
  },
  {
   "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": [
    "N = 25"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### An example of a matrix reording method: Reverse Cuthil McKee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "A = sp.diags([1, -2, 1], [8, 0, -8], shape=[N, N], format='csc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "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": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perm = sp.csgraph.reverse_cuthill_mckee(A)\n",
    "perm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0xa1b0e1748>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 235,
       "width": 482
      },
      "needs_background": "light"
     },
     "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": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 278,
       "width": 565
      },
      "needs_background": "light"
     },
     "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 = 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": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "N = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = sp.diags([1, -2, 1], [1, 0, -1], shape=[N, N], format='csc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals, evecs = sp.linalg.eigs(A, k=4, which='LM')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "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": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.allclose(A.dot(evecs[:,0]), evals[0] * evecs[:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals, evecs = sp.linalg.eigsh(A, k=4, which='LM')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-3.91898595, -3.68250707, -3.30972147, -2.83083003])"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals, evecs = sp.linalg.eigs(A, k=4, which='SR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "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": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3])"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.real(evals).argsort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "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": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "evals, evecs = sp_eigs_sorted(A, k=4, which='SM')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "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": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Random matrix example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "N = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x_vec = np.linspace(0, 1, 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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",
    "# M1 = M1 + M1.conj().T\n",
    "M2 = sp.rand(N, N, density=0.2, random_state=984592134)\n",
    "# M2 = M2 + M2.conj().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "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": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 278,
       "width": 563
      },
      "needs_background": "light"
     },
     "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": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g = nx.Graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_node(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NodeView((1,))"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_nodes_from([3, 4, 5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NodeView((1, 3, 4, 5))"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_edge(1, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EdgeView([(1, 2)])"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_edges_from([(3, 4), (5, 6)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EdgeView([(1, 2), (3, 4), (5, 6)])"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_weighted_edges_from([(1, 3, 1.5), (3, 5, 2.5)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EdgeView([(1, 2), (1, 3), (3, 4), (3, 5), (5, 6)])"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EdgeDataView([(1, 2, {}), (1, 3, {'weight': 1.5}), (3, 4, {}), (3, 5, {'weight': 2.5}), (5, 6, {})])"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges(data=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g.add_weighted_edges_from([(6, 7, 1.5)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NodeView((1, 3, 4, 5, 2, 6, 7))"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EdgeView([(1, 2), (1, 3), (3, 4), (3, 5), (5, 6), (6, 7)])"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open(\"tokyo-metro.json\") as f:\n",
    "    data = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['C', 'G', 'F', 'H', 'M', 'N', 'T', 'Y', 'Z'])"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'color': '#149848',\n",
       " 'transfers': [['C3', 'F15'],\n",
       "  ['C4', 'Z2'],\n",
       "  ['C4', 'G2'],\n",
       "  ['C7', 'M14'],\n",
       "  ['C7', 'N6'],\n",
       "  ['C7', 'G6'],\n",
       "  ['C8', 'M15'],\n",
       "  ['C8', 'H6'],\n",
       "  ['C9', 'H7'],\n",
       "  ['C9', 'Y18'],\n",
       "  ['C11', 'T9'],\n",
       "  ['C11', 'M18'],\n",
       "  ['C11', 'Z8'],\n",
       "  ['C12', 'M19'],\n",
       "  ['C18', 'H21']],\n",
       " 'travel_times': [['C1', 'C2', 2],\n",
       "  ['C2', 'C3', 2],\n",
       "  ['C3', 'C4', 1],\n",
       "  ['C4', 'C5', 2],\n",
       "  ['C5', 'C6', 2],\n",
       "  ['C6', 'C7', 2],\n",
       "  ['C7', 'C8', 1],\n",
       "  ['C8', 'C9', 3],\n",
       "  ['C9', 'C10', 1],\n",
       "  ['C10', 'C11', 2],\n",
       "  ['C11', 'C12', 2],\n",
       "  ['C12', 'C13', 2],\n",
       "  ['C13', 'C14', 2],\n",
       "  ['C14', 'C15', 2],\n",
       "  ['C15', 'C16', 2],\n",
       "  ['C16', 'C17', 3],\n",
       "  ['C17', 'C18', 3],\n",
       "  ['C18', 'C19', 3]]}"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"C\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "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": 114,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for n1, n2 in g.edges():\n",
    "    g[n1][n2][\"transfer\"] = \"weight\" not in g[n1][n2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "184"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.number_of_nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['C1', 'C2', 'C3', 'C4', 'C5']"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(g.nodes())[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "243"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.number_of_edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('C1', 'C2'), ('C2', 'C3'), ('C3', 'C4'), ('C3', 'F15'), ('C4', 'C5')]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(g.edges())[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "on_foot = [edge for edge in g.edges() if g.get_edge_data(*edge)[\"transfer\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "on_train = [edge for edge in g.edges() if not g.get_edge_data(*edge)[\"transfer\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "colors = [data[n[0].upper()][\"color\"] for n in g.nodes()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from networkx.drawing.nx_agraph import graphviz_layout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/rob/miniconda3/envs/py3.6/lib/python3.6/site-packages/matplotlib/font_manager.py:1241: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans.\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "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.drawing.nx_agraph.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": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DegreeView({'C1': 1, 'C2': 2, 'C3': 3, 'C4': 4, 'C5': 2, 'C6': 2, 'C7': 5, 'C8': 4, 'C9': 4, 'C10': 2, 'C11': 5, 'C12': 3, 'C13': 2, 'C14': 2, 'C15': 2, 'C16': 2, 'C17': 2, 'C18': 3, 'C19': 1, 'F15': 3, 'Z2': 4, 'G2': 4, 'M14': 5, 'N6': 5, 'G6': 5, 'M15': 4, 'H6': 4, 'H7': 4, 'Y18': 4, 'T9': 5, 'M18': 5, 'Z8': 5, 'M19': 3, 'H21': 2, 'G1': 3, 'G3': 2, 'G4': 3, 'G5': 6, 'G7': 2, 'G8': 2, 'G9': 4, 'G10': 2, 'G11': 3, 'G12': 3, 'G13': 2, 'G14': 2, 'G15': 3, 'G16': 3, 'G17': 2, 'G18': 2, 'G19': 1, 'Z1': 3, 'F16': 3, 'Z3': 3, 'M13': 6, 'Y16': 6, 'Z4': 6, 'N7': 6, 'M16': 4, 'H8': 4, 'T10': 3, 'Z9': 3, 'H16': 3, 'H17': 3, 'F1': 2, 'F2': 3, 'F3': 3, 'F4': 3, 'F5': 3, 'F6': 3, 'F7': 3, 'F8': 3, 'F9': 4, 'F10': 2, 'F11': 2, 'F12': 2, 'F13': 3, 'F14': 2, 'Y1': 2, 'Y2': 3, 'Y3': 3, 'Y4': 3, 'Y5': 3, 'Y6': 3, 'Y7': 3, 'Y8': 3, 'Y9': 4, 'M25': 3, 'M9': 3, 'H1': 1, 'H2': 2, 'H3': 2, 'H4': 2, 'H5': 2, 'H9': 2, 'H10': 2, 'H11': 2, 'H12': 3, 'H13': 2, 'H14': 2, 'H15': 2, 'H18': 2, 'H19': 2, 'H20': 2, 'T11': 3, 'M1': 1, 'M2': 2, 'M3': 2, 'M4': 2, 'M5': 2, 'M6': 3, 'M7': 2, 'M8': 2, 'M10': 2, 'M11': 2, 'M12': 3, 'M17': 2, 'M20': 2, 'M21': 2, 'M22': 3, 'M23': 2, 'M24': 2, 'm3': 1, 'm4': 2, 'm5': 2, 'N8': 3, 'N11': 3, 'N1': 2, 'N2': 3, 'N3': 3, 'N4': 2, 'N5': 2, 'N9': 3, 'N10': 4, 'N12': 2, 'N13': 2, 'N14': 2, 'N15': 2, 'N16': 2, 'N17': 2, 'N18': 2, 'N19': 1, 'T1': 2, 'T2': 3, 'T3': 3, 'Y14': 3, 'Y13': 4, 'T6': 4, 'T4': 2, 'T5': 2, 'T7': 3, 'T8': 2, 'T12': 2, 'T13': 2, 'T14': 2, 'T15': 2, 'T16': 2, 'T17': 2, 'T18': 2, 'T19': 2, 'T20': 2, 'T21': 2, 'T22': 2, 'T23': 2, 'T24': 1, 'Z6': 3, 'Y10': 2, 'Y11': 2, 'Y12': 2, 'Y15': 2, 'Y17': 2, 'Y19': 2, 'Y20': 2, 'Y21': 2, 'Y22': 2, 'Y23': 2, 'Y24': 1, 'Z5': 2, 'Z7': 2, 'Z10': 2, 'Z11': 2, 'Z12': 2, 'Z13': 2, 'Z14': 1})"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.degree()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "d_max = max(d for (n, d) in g.degree())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('G5', 6), ('M13', 6), ('Y16', 6), ('Z4', 6), ('N7', 6)]"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[(n, d) for (n, d) in g.degree() if d == d_max]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "p = nx.shortest_path(g, \"Y24\", \"C19\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Y24', 'Y23', 'Y22', 'Y21', 'Y20', 'Y19', 'Y18', 'C9', 'C10',\n",
       "       'C11', 'C12', 'C13', 'C14', 'C15', 'C16', 'C17', 'C18', 'C19'],\n",
       "      dtype='<U3')"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 130,
     "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": 131,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "h = g.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for n1, n2 in h.edges():\n",
    "    if \"transfer\" in h[n1][n2]:\n",
    "        h[n1][n2][\"weight\"] = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "p = nx.shortest_path(h, \"Y24\", \"C19\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Y24', 'Y23', 'Y22', 'Y21', 'Y20', 'Y19', 'Y18', 'C9', 'C10',\n",
       "       'C11', 'C12', 'C13', 'C14', 'C15', 'C16', 'C17', 'C18', 'C19'],\n",
       "      dtype='<U3')"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "85"
      ]
     },
     "execution_count": 135,
     "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": 136,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "p = nx.shortest_path(h, \"Z1\", \"H16\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "65"
      ]
     },
     "execution_count": 137,
     "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": 138,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A = nx.to_scipy_sparse_matrix(g)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<184x184 sparse matrix of type '<class 'numpy.int64'>'\n",
       "\twith 486 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "perm = sp.csgraph.reverse_cuthill_mckee(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 274,
       "width": 566
      },
      "needs_background": "light"
     },
     "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": 142,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%reload_ext version_information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]</td></tr><tr><td>IPython</td><td>7.5.0</td></tr><tr><td>OS</td><td>Darwin 18.2.0 x86_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.16.3</td></tr><tr><td>scipy</td><td>1.2.1</td></tr><tr><td>matplotlib</td><td>3.0.3</td></tr><tr><td>networkx</td><td>2.3</td></tr><tr><td>pygraphviz</td><td>1.5</td></tr><tr><td colspan='2'>Mon May 06 15:37:21 2019 JST</td></tr></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{|l|l|}\\hline\n",
       "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n",
       "Python & 3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE\\_401/final)] \\\\ \\hline\n",
       "IPython & 7.5.0 \\\\ \\hline\n",
       "OS & Darwin 18.2.0 x86\\_64 i386 64bit \\\\ \\hline\n",
       "numpy & 1.16.3 \\\\ \\hline\n",
       "scipy & 1.2.1 \\\\ \\hline\n",
       "matplotlib & 3.0.3 \\\\ \\hline\n",
       "networkx & 2.3 \\\\ \\hline\n",
       "pygraphviz & 1.5 \\\\ \\hline\n",
       "\\hline \\multicolumn{2}{|l|}{Mon May 06 15:37:21 2019 JST} \\\\ \\hline\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "Software versions\n",
       "Python 3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]\n",
       "IPython 7.5.0\n",
       "OS Darwin 18.2.0 x86_64 i386 64bit\n",
       "numpy 1.16.3\n",
       "scipy 1.2.1\n",
       "matplotlib 3.0.3\n",
       "networkx 2.3\n",
       "pygraphviz 1.5\n",
       "Mon May 06 15:37:21 2019 JST"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%version_information numpy, scipy, matplotlib, networkx, pygraphviz"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py3.6",
   "language": "python",
   "name": "py3.6"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}