gistfile1.txt

{ "metadata": { "name": "Untitled4" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "from skimage.io import Image\n", "\n", "picture = np.zeros((512,512))\n", "for y in xrange(512):\n", " for x in xrange(512):\n", " picture[y, x] += 2*np.clip(np.exp(- np.sqrt(((150.-x)**2+((150.-y)/4)**2)/50.)),\n", " 0, 0.5)\n", " picture[y, x] += 2*np.clip(np.exp(- np.sqrt(((350.-x)**2+((150.-y)/4)**2)/50.)),\n", " 0, 0.5) \n", " if 96<np.sqrt((y-270)**2+(x-256)**2)<160 and y>290:\n", " picture[y, x] += 0.4+0.4*np.cos(np.sqrt((y-270)**2+(x-256)**2)*0.1)\n", "Image(picture)" ], "language": "python", "outputs": [ { "jpeg": 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UJrpybSLuAcDqdIz2AAAAMjNFlWopeX8+PyGWz+dzz6Wo4Uw6UddjRTqmUADrn9Ract6f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\ntLEKSPZ00Wf9J7B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"prompt_number": 61, "text": [ "Image([[ 6.37847158e-10, 7.31626756e-10, 8.39148303e-10, ...,\n", " 1.85164830e-10, 1.61350465e-10, 1.40592606e-10],\n", " [ 6.43322856e-10, 7.37947356e-10, 8.46444048e-10, ...,\n", " 1.86668931e-10, 1.62653323e-10, 1.41721134e-10],\n", " [ 6.48810611e-10, 7.44282245e-10, 8.53756723e-10, ...,\n", " 1.88175594e-10, 1.63958333e-10, 1.42851468e-10],\n", " ..., \n", " [ 3.67341237e-11, 4.14694043e-11, 4.68049627e-11, ...,\n", " 1.22218134e-11, 1.08046152e-11, 9.54998806e-12],\n", " [ 3.60726349e-11, 4.07190005e-11, 4.59538637e-11, ...,\n", " 1.20110216e-11, 1.06191431e-11, 9.38682196e-12],\n", " [ 3.54217418e-11, 3.99806881e-11, 4.51165603e-11, ...,\n", " 1.18034329e-11, 1.04364731e-11, 9.22610677e-12]])" ] } ], "prompt_number": 61 }, { "cell_type": "code", "collapsed": false, "input": [ "print \"That uses\", 512*512*4,\" bytes of memory\"\n", "print \"which is\", 512*512*4 / 1024./1024.,\" MB\" " ], "language": "python", "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "That uses 1048576 bytes of memory\n", "which is 1.0 MB\n" ] } ], "prompt_number": 80 } ] } ] }