Created
July 8, 2016 21:48
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import pysal as ps\n", | |
| "from pysal import weights as w\n", | |
| "import numpy as np\n", | |
| "import scipy.sparse as sp" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "#check transformation\n", | |
| "\n", | |
| "def OD(Wo, Wd):\n", | |
| " Wo = Wo.sparse\n", | |
| " Wd = Wd.sparse\n", | |
| " Ww = sp.kron(Wo, Wd)\n", | |
| " return w.WSP2W(w.WSP(Ww))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "(16, 16)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "origins = ps.weights.lat2W(2,2)\n", | |
| "dests = ps.weights.lat2W(2,2)\n", | |
| "Ww = OD(origins, dests)\n", | |
| "Ww.transform = 'r'\n", | |
| "print Ww.full()[0].shape" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "[[ 0]\n", | |
| " [38]\n", | |
| " [36]\n", | |
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| " [ 0]\n", | |
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| " [19]\n", | |
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| " [ 0]\n", | |
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| " [ 3]\n", | |
| " [35]\n", | |
| " [ 0]]\n", | |
| "[[ 28. ]\n", | |
| " [ 53.25]\n", | |
| " [ 53.25]\n", | |
| " [ 28. ]\n", | |
| " [ 28. ]\n", | |
| " [ 36. ]\n", | |
| " [ 36. ]\n", | |
| " [ 28. ]\n", | |
| " [ 28. ]\n", | |
| " [ 36. ]\n", | |
| " [ 36. ]\n", | |
| " [ 28. ]\n", | |
| " [ 28. ]\n", | |
| " [ 53.25]\n", | |
| " [ 53.25]\n", | |
| " [ 28. ]]\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "flows = np.random.randint(0,100, (4,4))\n", | |
| "np.fill_diagonal(flows, 0)\n", | |
| "flows = flows.reshape((16,1))\n", | |
| "print flows\n", | |
| "slag = ps.lag_spatial(Ww, flows)\n", | |
| "print slag" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "{0: [1.0, 1.0], 1: [1.0, 1.0], 2: [1.0, 1.0], 3: [1.0, 1.0]}" | |
| ] | |
| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "origins.weights" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import os\n", | |
| "os.chdir('/Users/toshan/dev/pysal/pysal/weights')\n", | |
| "from spintW import ODW" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
| "collapsed": false, | |
| "scrolled": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "origins = ps.weights.lat2W(2,2)\n", | |
| "dests = ps.weights.lat2W(2,2)\n", | |
| "Ww = ODW(origins, dests)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array([[ 0. , 0. , 0. , 0. , 0. , 0.25, 0.25, 0. , 0. ,\n", | |
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| " [ 0. , 0. , 0. , 0. , 0.25, 0. , 0. , 0.25, 0.25,\n", | |
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| " [ 0. , 0. , 0. , 0. , 0. , 0.25, 0.25, 0. , 0. ,\n", | |
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| " [ 0.25, 0. , 0. , 0.25, 0. , 0. , 0. , 0. , 0. ,\n", | |
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| " [ 0.25, 0. , 0. , 0.25, 0. , 0. , 0. , 0. , 0. ,\n", | |
| " 0. , 0. , 0. , 0.25, 0. , 0. , 0.25],\n", | |
| " [ 0. , 0.25, 0.25, 0. , 0. , 0. , 0. , 0. , 0. ,\n", | |
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| " [ 0.25, 0. , 0. , 0.25, 0. , 0. , 0. , 0. , 0. ,\n", | |
| " 0. , 0. , 0. , 0.25, 0. , 0. , 0.25],\n", | |
| " [ 0.25, 0. , 0. , 0.25, 0. , 0. , 0. , 0. , 0. ,\n", | |
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| " [ 0. , 0. , 0. , 0. , 0. , 0.25, 0.25, 0. , 0. ,\n", | |
| " 0.25, 0.25, 0. , 0. , 0. , 0. , 0. ]])" | |
| ] | |
| }, | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "Ww.full()[0]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
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| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
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| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 2", | |
| "language": "python", | |
| "name": "python2" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
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| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython2", | |
| "version": "2.7.9" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 0 | |
| } |
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