Updated notebook
+84 −1055 · 1 file changed
-
README.ipynb+84 −1055
@@ -1,7 +1,5 @@ { - "metadata": { - "signature": "sha256:c5ab63c7851c55fd5a676194657afffc9050560d49b7eea14782b955b80f4a54" - }, + "metadata": {}, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ @@ -68,6 +66,17 @@ "Repository is at: <https://github.com/rougier/numpy-100>\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The corresponding [IPython\n", + "notebook](https://github.com/rougier/numpy-100/blob/master/README.ipynb)\n", + "is available from the github repo, thanks to the\n", + "[rst2ipynb](https://github.com/esc/rst2ipynb) conversion tool by\n", + "[Valentin Haenel](http://haenel.co)\n" + ] + }, { "cell_type": "heading", "level": 2, @@ -91,8 +100,7 @@ ], "language": "python", "metadata": {}, - "outputs": [], - "prompt_number": 1 + "outputs": [] }, { "cell_type": "markdown", @@ -110,40 +118,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "1.8.1\n", - "atlas_threads_info:\n", - " NOT AVAILABLE\n", - "blas_opt_info:\n", - " extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']\n", - " extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']\n", - " define_macros = [('NO_ATLAS_INFO', 3)]\n", - "atlas_blas_threads_info:\n", - " NOT AVAILABLE\n", - "openblas_info:\n", - " NOT AVAILABLE\n", - "lapack_opt_info:\n", - " extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']\n", - " extra_compile_args = ['-msse3']\n", - " define_macros = [('NO_ATLAS_INFO', 3)]\n", - "atlas_info:\n", - " NOT AVAILABLE\n", - "lapack_mkl_info:\n", - " NOT AVAILABLE\n", - "blas_mkl_info:\n", - " NOT AVAILABLE\n", - "atlas_blas_info:\n", - " NOT AVAILABLE\n", - "mkl_info:\n", - " NOT AVAILABLE\n" - ] - } - ], - "prompt_number": 2 + "outputs": [] }, { "cell_type": "markdown", @@ -161,16 +136,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n" - ] - } - ], - "prompt_number": 3 + "outputs": [] }, { "cell_type": "markdown", @@ -189,16 +155,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]\n" - ] - } - ], - "prompt_number": 4 + "outputs": [] }, { "cell_type": "markdown", @@ -216,17 +173,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34\n", - " 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49]\n" - ] - } - ], - "prompt_number": 5 + "outputs": [] }, { "cell_type": "markdown", @@ -244,18 +191,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[0 1 2]\n", - " [3 4 5]\n", - " [6 7 8]]\n" - ] - } - ], - "prompt_number": 6 + "outputs": [] }, { "cell_type": "markdown", @@ -273,16 +209,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "(array([0, 1, 4]),)\n" - ] - } - ], - "prompt_number": 7 + "outputs": [] }, { "cell_type": "markdown", @@ -300,18 +227,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[ 1. 0. 0.]\n", - " [ 0. 1. 0.]\n", - " [ 0. 0. 1.]]\n" - ] - } - ], - "prompt_number": 8 + "outputs": [] }, { "cell_type": "markdown", @@ -329,20 +245,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[0 0 0 0 0]\n", - " [1 0 0 0 0]\n", - " [0 2 0 0 0]\n", - " [0 0 3 0 0]\n", - " [0 0 0 4 0]]\n" - ] - } - ], - "prompt_number": 9 + "outputs": [] }, { "cell_type": "markdown", @@ -360,26 +263,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[[ 0.70021694 0.95083496 0.30437049]\n", - " [ 0.21431207 0.31105127 0.5068161 ]\n", - " [ 0.58181837 0.99693352 0.09652223]]\n", - "\n", - " [[ 0.29377124 0.79645988 0.90955378]\n", - " [ 0.92912313 0.80872229 0.79051782]\n", - " [ 0.62249093 0.83439699 0.95995313]]\n", - "\n", - " [[ 0.40897092 0.65822449 0.65887148]\n", - " [ 0.99839327 0.41591443 0.10637997]\n", - " [ 0.84581123 0.82366357 0.16914503]]]\n" - ] - } - ], - "prompt_number": 10 + "outputs": [] }, { "cell_type": "heading", @@ -407,23 +291,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[0 1 0 1 0 1 0 1]\n", - " [1 0 1 0 1 0 1 0]\n", - " [0 1 0 1 0 1 0 1]\n", - " [1 0 1 0 1 0 1 0]\n", - " [0 1 0 1 0 1 0 1]\n", - " [1 0 1 0 1 0 1 0]\n", - " [0 1 0 1 0 1 0 1]\n", - " [1 0 1 0 1 0 1 0]]\n" - ] - } - ], - "prompt_number": 11 + "outputs": [] }, { "cell_type": "markdown", @@ -443,16 +311,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.00129611420124 0.99762192206\n" - ] - } - ], - "prompt_number": 12 + "outputs": [] }, { "cell_type": "markdown", @@ -470,23 +329,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[0 1 0 1 0 1 0 1]\n", - " [1 0 1 0 1 0 1 0]\n", - " [0 1 0 1 0 1 0 1]\n", - " [1 0 1 0 1 0 1 0]\n", - " [0 1 0 1 0 1 0 1]\n", - " [1 0 1 0 1 0 1 0]\n", - " [0 1 0 1 0 1 0 1]\n", - " [1 0 1 0 1 0 1 0]]\n" - ] - } - ], - "prompt_number": 13 + "outputs": [] }, { "cell_type": "markdown", @@ -506,20 +349,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[ 0.82414054 0.53347021 0.27229421 0.82030074 0.63632098]\n", - " [ 0.47403754 0.78566293 0. 0.07140557 0.59491348]\n", - " [ 0.61019479 0.65576641 0.27786659 0.68939527 0.16168705]\n", - " [ 0.43904126 0.90618438 0.06668649 0.14611578 1. ]\n", - " [ 0.49405041 0.9111222 0.73685086 0.17489323 0.95239388]]\n" - ] - } - ], - "prompt_number": 14 + "outputs": [] }, { "cell_type": "markdown", @@ -537,20 +367,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[ 3. 3.]\n", - " [ 3. 3.]\n", - " [ 3. 3.]\n", - " [ 3. 3.]\n", - " [ 3. 3.]]\n" - ] - } - ], - "prompt_number": 15 + "outputs": [] }, { "cell_type": "markdown", @@ -569,20 +386,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[ 0. 1. 2. 3. 4.]\n", - " [ 0. 1. 2. 3. 4.]\n", - " [ 0. 1. 2. 3. 4.]\n", - " [ 0. 1. 2. 3. 4.]\n", - " [ 0. 1. 2. 3. 4.]]\n" - ] - } - ], - "prompt_number": 16 + "outputs": [] }, { "cell_type": "markdown", @@ -601,17 +405,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0.09090909 0.18181818 0.27272727 0.36363636 0.45454545 0.54545455\n", - " 0.63636364 0.72727273 0.81818182 0.90909091]\n" - ] - } - ], - "prompt_number": 17 + "outputs": [] }, { "cell_type": "markdown", @@ -630,17 +424,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0.06704956 0.08438841 0.08667572 0.30537151 0.35700968 0.66220797\n", - " 0.88027037 0.88374795 0.9779146 0.98195841]\n" - ] - } - ], - "prompt_number": 18 + "outputs": [] }, { "cell_type": "markdown", @@ -660,16 +444,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "False\n" - ] - } - ], - "prompt_number": 19 + "outputs": [] }, { "cell_type": "markdown", @@ -688,16 +463,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.453360234095\n" - ] - } - ], - "prompt_number": 20 + "outputs": [] }, { "cell_type": "heading", @@ -724,19 +490,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "assignment destination is read-only", - "output_type": "pyerr", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m<ipython-input-21-6fd4c6570dd1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mZ\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mZ\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflags\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwriteable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mZ\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mValueError\u001b[0m: assignment destination is read-only" - ] - } - ], - "prompt_number": 21 + "outputs": [] }, { "cell_type": "markdown", @@ -759,19 +513,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0.52257189 0.38213937 1.12648582 0.72972401 0.96450131 0.59947076\n", - " 1.20904375 0.63290855 0.88362902 0.77961181]\n", - "[ 0.62281132 0.6298261 0.61482359 0.18015421 0.25797157 1.50995739\n", - " 0.96329767 0.54114677 1.47538569 0.40910505]\n" - ] - } - ], - "prompt_number": 22 + "outputs": [] }, { "cell_type": "markdown", @@ -790,17 +532,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0.15052552 0.69495523 0.94540327 0.69809245 0.33030241 0.\n", - " 0.53637513 0.14122452 0.00964067 0.77279768]\n" - ] - } - ], - "prompt_number": 23 + "outputs": [] }, { "cell_type": "markdown", @@ -821,87 +553,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[(0.0, 0.0) (0.1111111111111111, 0.0) (0.2222222222222222, 0.0)\n", - " (0.3333333333333333, 0.0) (0.4444444444444444, 0.0)\n", - " (0.5555555555555556, 0.0) (0.6666666666666666, 0.0)\n", - " (0.7777777777777777, 0.0) (0.8888888888888888, 0.0) (1.0, 0.0)]\n", - " [(0.0, 0.1111111111111111) (0.1111111111111111, 0.1111111111111111)\n", - " (0.2222222222222222, 0.1111111111111111)\n", - " (0.3333333333333333, 0.1111111111111111)\n", - " (0.4444444444444444, 0.1111111111111111)\n", - " (0.5555555555555556, 0.1111111111111111)\n", - " (0.6666666666666666, 0.1111111111111111)\n", - " (0.7777777777777777, 0.1111111111111111)\n", - " (0.8888888888888888, 0.1111111111111111) (1.0, 0.1111111111111111)]\n", - " [(0.0, 0.2222222222222222) (0.1111111111111111, 0.2222222222222222)\n", - " (0.2222222222222222, 0.2222222222222222)\n", - " (0.3333333333333333, 0.2222222222222222)\n", - " (0.4444444444444444, 0.2222222222222222)\n", - " (0.5555555555555556, 0.2222222222222222)\n", - " (0.6666666666666666, 0.2222222222222222)\n", - " (0.7777777777777777, 0.2222222222222222)\n", - " (0.8888888888888888, 0.2222222222222222) (1.0, 0.2222222222222222)]\n", - " [(0.0, 0.3333333333333333) (0.1111111111111111, 0.3333333333333333)\n", - " (0.2222222222222222, 0.3333333333333333)\n", - " (0.3333333333333333, 0.3333333333333333)\n", - " (0.4444444444444444, 0.3333333333333333)\n", - " (0.5555555555555556, 0.3333333333333333)\n", - " (0.6666666666666666, 0.3333333333333333)\n", - " (0.7777777777777777, 0.3333333333333333)\n", - " (0.8888888888888888, 0.3333333333333333) (1.0, 0.3333333333333333)]\n", - " [(0.0, 0.4444444444444444) (0.1111111111111111, 0.4444444444444444)\n", - " (0.2222222222222222, 0.4444444444444444)\n", - " (0.3333333333333333, 0.4444444444444444)\n", - " (0.4444444444444444, 0.4444444444444444)\n", - " (0.5555555555555556, 0.4444444444444444)\n", - " (0.6666666666666666, 0.4444444444444444)\n", - " (0.7777777777777777, 0.4444444444444444)\n", - " (0.8888888888888888, 0.4444444444444444) (1.0, 0.4444444444444444)]\n", - " [(0.0, 0.5555555555555556) (0.1111111111111111, 0.5555555555555556)\n", - " (0.2222222222222222, 0.5555555555555556)\n", - " (0.3333333333333333, 0.5555555555555556)\n", - " (0.4444444444444444, 0.5555555555555556)\n", - " (0.5555555555555556, 0.5555555555555556)\n", - " (0.6666666666666666, 0.5555555555555556)\n", - " (0.7777777777777777, 0.5555555555555556)\n", - " (0.8888888888888888, 0.5555555555555556) (1.0, 0.5555555555555556)]\n", - " [(0.0, 0.6666666666666666) (0.1111111111111111, 0.6666666666666666)\n", - " (0.2222222222222222, 0.6666666666666666)\n", - " (0.3333333333333333, 0.6666666666666666)\n", - " (0.4444444444444444, 0.6666666666666666)\n", - " (0.5555555555555556, 0.6666666666666666)\n", - " (0.6666666666666666, 0.6666666666666666)\n", - " (0.7777777777777777, 0.6666666666666666)\n", - " (0.8888888888888888, 0.6666666666666666) (1.0, 0.6666666666666666)]\n", - " [(0.0, 0.7777777777777777) (0.1111111111111111, 0.7777777777777777)\n", - " (0.2222222222222222, 0.7777777777777777)\n", - " (0.3333333333333333, 0.7777777777777777)\n", - " (0.4444444444444444, 0.7777777777777777)\n", - " (0.5555555555555556, 0.7777777777777777)\n", - " (0.6666666666666666, 0.7777777777777777)\n", - " (0.7777777777777777, 0.7777777777777777)\n", - " (0.8888888888888888, 0.7777777777777777) (1.0, 0.7777777777777777)]\n", - " [(0.0, 0.8888888888888888) (0.1111111111111111, 0.8888888888888888)\n", - " (0.2222222222222222, 0.8888888888888888)\n", - " (0.3333333333333333, 0.8888888888888888)\n", - " (0.4444444444444444, 0.8888888888888888)\n", - " (0.5555555555555556, 0.8888888888888888)\n", - " (0.6666666666666666, 0.8888888888888888)\n", - " (0.7777777777777777, 0.8888888888888888)\n", - " (0.8888888888888888, 0.8888888888888888) (1.0, 0.8888888888888888)]\n", - " [(0.0, 1.0) (0.1111111111111111, 1.0) (0.2222222222222222, 1.0)\n", - " (0.3333333333333333, 1.0) (0.4444444444444444, 1.0)\n", - " (0.5555555555555556, 1.0) (0.6666666666666666, 1.0)\n", - " (0.7777777777777777, 1.0) (0.8888888888888888, 1.0) (1.0, 1.0)]]\n" - ] - } - ], - "prompt_number": 24 + "outputs": [] }, { "cell_type": "markdown", @@ -925,27 +577,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "-128\n", - "127\n", - "-2147483648\n", - "2147483647\n", - "-9223372036854775808\n", - "9223372036854775807\n", - "-3.40282e+38\n", - "3.40282e+38\n", - "1.19209e-07\n", - "-1.79769313486e+308\n", - "1.79769313486e+308\n", - "2.22044604925e-16\n" - ] - } - ], - "prompt_number": 25 + "outputs": [] }, { "cell_type": "markdown", @@ -968,20 +600,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[((0.0, 0.0), (0.0, 0.0, 0.0)) ((0.0, 0.0), (0.0, 0.0, 0.0))\n", - " ((0.0, 0.0), (0.0, 0.0, 0.0)) ((0.0, 0.0), (0.0, 0.0, 0.0))\n", - " ((0.0, 0.0), (0.0, 0.0, 0.0)) ((0.0, 0.0), (0.0, 0.0, 0.0))\n", - " ((0.0, 0.0), (0.0, 0.0, 0.0)) ((0.0, 0.0), (0.0, 0.0, 0.0))\n", - " ((0.0, 0.0), (0.0, 0.0, 0.0)) ((0.0, 0.0), (0.0, 0.0, 0.0))]\n" - ] - } - ], - "prompt_number": 26 + "outputs": [] }, { "cell_type": "markdown", @@ -1008,45 +627,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[ 0. 0.16987428 0.31102149 0.26583413 0.12161091 0.37702606\n", - " 0.60918712 0.22994418 0.73836939 0.75277804]\n", - " [ 0.16987428 0. 0.45238913 0.24333364 0.23656138 0.22419316\n", - " 0.44020383 0.18661258 0.58258746 0.6961923 ]\n", - " [ 0.31102149 0.45238913 0. 0.35278432 0.21620973 0.59358334\n", - " 0.87872597 0.37145888 0.92496631 0.73163727]\n", - " [ 0.26583413 0.24333364 0.35278432 0. 0.19705441 0.26188998\n", - " 0.5682884 0.0573825 0.57244145 0.48698659]\n", - " [ 0.12161091 0.23656138 0.21620973 0.19705441 0. 0.39175971\n", - " 0.66497293 0.18703245 0.74121606 0.66903981]\n", - " [ 0.37702606 0.22419316 0.59358334 0.26188998 0.39175971 0.\n", - " 0.30859748 0.22493167 0.36151588 0.55328388]\n", - " [ 0.60918712 0.44020383 0.87872597 0.5682884 0.66497293 0.30859748\n", - " 0. 0.52524536 0.32513581 0.78334717]\n", - " [ 0.22994418 0.18661258 0.37145888 0.0573825 0.18703245 0.22493167\n", - " 0.52524536 0. 0.55794299 0.52911933]\n", - " [ 0.73836939 0.58258746 0.92496631 0.57244145 0.74121606 0.36151588\n", - " 0.32513581 0.55794299 0. 0.55390248]\n", - " [ 0.75277804 0.6961923 0.73163727 0.48698659 0.66903981 0.55328388\n", - " 0.78334717 0.52911933 0.55390248 0. ]]\n" - ] - }, - { - "ename": "AttributeError", - "evalue": "'module' object has no attribute 'spatial'", - "output_type": "pyerr", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m<ipython-input-27-0c2de30fb39a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mscipy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mZ\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\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[0;32m----> 9\u001b[0;31m \u001b[0mD\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mscipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mspatial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdistance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcdist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mZ\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mZ\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 10\u001b[0m \u001b[0;32mprint\u001b[0m \u001b[0mD\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAttributeError\u001b[0m: 'module' object has no attribute 'spatial'" - ] - } - ], - "prompt_number": 27 + "outputs": [] }, { "cell_type": "markdown", @@ -1067,35 +648,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[ 0.36787944 0.44822088 0.51979489 0.57375342 0.60279818 0.60279818\n", - " 0.57375342 0.51979489 0.44822088 0.36787944]\n", - " [ 0.44822088 0.54610814 0.63331324 0.69905581 0.73444367 0.73444367\n", - " 0.69905581 0.63331324 0.54610814 0.44822088]\n", - " [ 0.51979489 0.63331324 0.73444367 0.81068432 0.85172308 0.85172308\n", - " 0.81068432 0.73444367 0.63331324 0.51979489]\n", - " [ 0.57375342 0.69905581 0.81068432 0.89483932 0.9401382 0.9401382\n", - " 0.89483932 0.81068432 0.69905581 0.57375342]\n", - " [ 0.60279818 0.73444367 0.85172308 0.9401382 0.98773022 0.98773022\n", - " 0.9401382 0.85172308 0.73444367 0.60279818]\n", - " [ 0.60279818 0.73444367 0.85172308 0.9401382 0.98773022 0.98773022\n", - " 0.9401382 0.85172308 0.73444367 0.60279818]\n", - " [ 0.57375342 0.69905581 0.81068432 0.89483932 0.9401382 0.9401382\n", - " 0.89483932 0.81068432 0.69905581 0.57375342]\n", - " [ 0.51979489 0.63331324 0.73444367 0.81068432 0.85172308 0.85172308\n", - " 0.81068432 0.73444367 0.63331324 0.51979489]\n", - " [ 0.44822088 0.54610814 0.63331324 0.69905581 0.73444367 0.73444367\n", - " 0.69905581 0.63331324 0.54610814 0.44822088]\n", - " [ 0.36787944 0.44822088 0.51979489 0.57375342 0.60279818 0.60279818\n", - " 0.57375342 0.51979489 0.44822088 0.36787944]]\n" - ] - } - ], - "prompt_number": 28 + "outputs": [] }, { "cell_type": "markdown", @@ -1119,16 +672,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 1. 0. 0. 0. 2. 0. 0. 0. 3. 0. 0. 0. 4. 0. 0. 0. 5.]\n" - ] - } - ], - "prompt_number": 29 + "outputs": [] }, { "cell_type": "markdown", @@ -1148,16 +692,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.51525684594\n" - ] - } - ], - "prompt_number": 30 + "outputs": [] }, { "cell_type": "heading", @@ -1198,22 +733,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "ename": "IOError", - "evalue": "missing.dat not found.", - "output_type": "pyerr", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mIOError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m<ipython-input-31-a57209acdc11>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mZ\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenfromtxt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"missing.dat\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdelimiter\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[0m", - "\u001b[0;32m/usr/local/lib/python2.7/site-packages/numpy/lib/npyio.pyc\u001b[0m in \u001b[0;36mgenfromtxt\u001b[0;34m(fname, dtype, comments, delimiter, skiprows, skip_header, skip_footer, converters, missing, missing_values, filling_values, usecols, names, excludelist, deletechars, replace_space, autostrip, case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise)\u001b[0m\n\u001b[1;32m 1342\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbasestring\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1343\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mversion_info\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\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[0;32m-> 1344\u001b[0;31m \u001b[0mfhd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0miter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_datasource\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rbU'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1345\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1346\u001b[0m \u001b[0mfhd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0miter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_datasource\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python2.7/site-packages/numpy/lib/_datasource.pyc\u001b[0m in \u001b[0;36mopen\u001b[0;34m(path, mode, destpath)\u001b[0m\n\u001b[1;32m 145\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 146\u001b[0m \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataSource\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdestpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 147\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 148\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python2.7/site-packages/numpy/lib/_datasource.pyc\u001b[0m in \u001b[0;36mopen\u001b[0;34m(self, path, mode)\u001b[0m\n\u001b[1;32m 494\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0m_file_openers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mext\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfound\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 495\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 496\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mIOError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"%s not found.\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 497\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 498\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mIOError\u001b[0m: missing.dat not found." - ] - } - ], - "prompt_number": 31 + "outputs": [] }, { "cell_type": "markdown", @@ -1235,16 +755,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0. 1. 2. 3. 4. 5. 6. 7. 8. 9.]\n" - ] - } - ], - "prompt_number": 32 + "outputs": [] }, { "cell_type": "markdown", @@ -1267,16 +778,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 3. 3. 4. 3. 3. 2. 5. 1. 2. 4.]\n" - ] - } - ], - "prompt_number": 33 + "outputs": [] }, { "cell_type": "markdown", @@ -1299,16 +801,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0. 7. 0. 6. 5. 0. 0. 0. 0. 3.]\n" - ] - } - ], - "prompt_number": 34 + "outputs": [] }, { "cell_type": "markdown", @@ -1332,16 +825,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[0 1]\n" - ] - } - ], - "prompt_number": 35 + "outputs": [] }, { "cell_type": "markdown", @@ -1361,16 +845,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "\n" - ] - } - ], - "prompt_number": 36 + "outputs": [] }, { "cell_type": "markdown", @@ -1395,17 +870,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[ 0.47169995 0.41982199 0.4737244 0.53018004 0.3115647 0.62880299\n", - " 0.54180417 0.38041533 0.40633414 0.34868915]\n" - ] - } - ], - "prompt_number": 37 + "outputs": [] }, { "cell_type": "heading", @@ -1440,23 +905,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[0 1 2]\n", - " [1 2 3]\n", - " [2 3 4]\n", - " [3 4 5]\n", - " [4 5 6]\n", - " [5 6 7]\n", - " [6 7 8]\n", - " [7 8 9]]\n" - ] - } - ], - "prompt_number": 38 + "outputs": [] }, { "cell_type": "markdown", @@ -1483,19 +932,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[(4, 23) (4, 24) (4, 37) (4, 45) (6, 50) (6, 87) (8, 32) (8, 83) (12, 17)\n", - " (12, 88) (16, 21) (16, 46) (16, 61) (16, 67) (17, 88) (21, 67) (23, 45)\n", - " (24, 37) (32, 83) (36, 38) (36, 63) (38, 63) (39, 43) (39, 70) (43, 43)\n", - " (43, 44) (43, 70) (46, 61) (50, 87)]\n" - ] - } - ], - "prompt_number": 39 + "outputs": [] }, { "cell_type": "markdown", @@ -1517,16 +954,31 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[1 1 2 3 4 4 6]\n" - ] - } + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "How to compute averages using a sliding window over an array ?\n" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Author: Jaime Fern\u00e1ndez del R\u00edo\n", + "\n", + "def moving_average(a, n=3) :\n", + " ret = np.cumsum(a, dtype=float)\n", + " ret[n:] = ret[n:] - ret[:-n]\n", + " return ret[n - 1:] / n\n", + "Z = np.arange(20)\n", + "print moving_average(Z, n=3)" ], - "prompt_number": 40 + "language": "python", + "metadata": {}, + "outputs": [] }, { "cell_type": "heading", @@ -1558,35 +1010,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[2 1 1]\n", - " [3 0 1]\n", - " [3 0 2]\n", - " [4 1 2]\n", - " [1 2 2]\n", - " [0 2 2]\n", - " [2 1 0]\n", - " [3 1 0]\n", - " [2 3 3]\n", - " [1 4 3]]\n", - "[[2 1 1]\n", - " [3 0 1]\n", - " [3 0 2]\n", - " [4 1 2]\n", - " [1 2 2]\n", - " [0 2 2]\n", - " [2 1 0]\n", - " [3 1 0]\n", - " [2 3 3]\n", - " [1 4 3]]\n" - ] - } - ], - "prompt_number": 41 + "outputs": [] }, { "cell_type": "markdown", @@ -1612,33 +1036,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[0 0 0 0 0 0 0 0]\n", - " [0 0 0 0 0 0 0 1]\n", - " [0 0 0 0 0 0 1 0]\n", - " [0 0 0 0 0 0 1 1]\n", - " [0 0 0 0 1 1 1 1]\n", - " [0 0 0 1 0 0 0 0]\n", - " [0 0 1 0 0 0 0 0]\n", - " [0 1 0 0 0 0 0 0]\n", - " [1 0 0 0 0 0 0 0]]\n", - "[[0 0 0 0 0 0 0 0]\n", - " [0 0 0 0 0 0 0 1]\n", - " [0 0 0 0 0 0 1 0]\n", - " [0 0 0 0 0 0 1 1]\n", - " [0 0 0 0 1 1 1 1]\n", - " [0 0 0 1 0 0 0 0]\n", - " [0 0 1 0 0 0 0 0]\n", - " [0 1 0 0 0 0 0 0]\n", - " [1 0 0 0 0 0 0 0]]\n" - ] - } - ], - "prompt_number": 42 + "outputs": [] }, { "cell_type": "heading", @@ -1703,7 +1101,7 @@ "cell_type": "code", "collapsed": false, "input": [ - "# St\u00e9fan van der Walt\n", + "# Author: St\u00e9fan van der Walt\n", "\n", "Z = np.arange(1,15,dtype=uint32)\n", "R = stride_tricks.as_strided(Z,(11,4),(4,4))\n", @@ -1711,19 +1109,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'uint32' is not defined", - "output_type": "pyerr", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m<ipython-input-43-ba0b6870ce88>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# St\u00e9fan van der Walt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mZ\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0muint32\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0mR\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstride_tricks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mas_strided\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mZ\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mprint\u001b[0m \u001b[0mR\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'uint32' is not defined" - ] - } - ], - "prompt_number": 43 + "outputs": [] }, { "cell_type": "heading", @@ -1757,16 +1143,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[0 1 3 5 6 7]\n" - ] - } - ], - "prompt_number": 44 + "outputs": [] }, { "cell_type": "markdown", @@ -1779,7 +1156,7 @@ "cell_type": "code", "collapsed": false, "input": [ - "# Chris Barker\n", + "# Author: Chris Barker\n", "\n", "Z = np.random.randint(0,5,(10,10))\n", "n = 3\n", @@ -1790,277 +1167,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[[[0 4 2]\n", - " [1 0 2]\n", - " [4 4 4]]\n", - "\n", - " [[4 2 1]\n", - " [0 2 0]\n", - " [4 4 2]]\n", - "\n", - " [[2 1 1]\n", - " [2 0 4]\n", - " [4 2 1]]\n", - "\n", - " [[1 1 4]\n", - " [0 4 0]\n", - " [2 1 3]]\n", - "\n", - " [[1 4 4]\n", - " [4 0 1]\n", - " [1 3 2]]\n", - "\n", - " [[4 4 3]\n", - " [0 1 2]\n", - " [3 2 1]]\n", - "\n", - " [[4 3 3]\n", - " [1 2 2]\n", - " [2 1 4]]\n", - "\n", - " [[3 3 2]\n", - " [2 2 3]\n", - " [1 4 1]]]\n", - "\n", - "\n", - " [[[1 0 2]\n", - " [4 4 4]\n", - " [3 0 2]]\n", - "\n", - " [[0 2 0]\n", - " [4 4 2]\n", - " [0 2 2]]\n", - "\n", - " [[2 0 4]\n", - " [4 2 1]\n", - " [2 2 3]]\n", - "\n", - " [[0 4 0]\n", - " [2 1 3]\n", - " [2 3 3]]\n", - "\n", - " [[4 0 1]\n", - " [1 3 2]\n", - " [3 3 4]]\n", - "\n", - " [[0 1 2]\n", - " [3 2 1]\n", - " [3 4 3]]\n", - "\n", - " [[1 2 2]\n", - " [2 1 4]\n", - " [4 3 0]]\n", - "\n", - " [[2 2 3]\n", - " [1 4 1]\n", - " [3 0 2]]]\n", - "\n", - "\n", - " [[[4 4 4]\n", - " [3 0 2]\n", - " [0 4 3]]\n", - "\n", - " [[4 4 2]\n", - " [0 2 2]\n", - " [4 3 3]]\n", - "\n", - " [[4 2 1]\n", - " [2 2 3]\n", - " [3 3 4]]\n", - "\n", - " [[2 1 3]\n", - " [2 3 3]\n", - " [3 4 2]]\n", - "\n", - " [[1 3 2]\n", - " [3 3 4]\n", - " [4 2 1]]\n", - "\n", - " [[3 2 1]\n", - " [3 4 3]\n", - " [2 1 0]]\n", - "\n", - " [[2 1 4]\n", - " [4 3 0]\n", - " [1 0 3]]\n", - "\n", - " [[1 4 1]\n", - " [3 0 2]\n", - " [0 3 0]]]\n", - "\n", - "\n", - " [[[3 0 2]\n", - " [0 4 3]\n", - " [3 3 4]]\n", - "\n", - " [[0 2 2]\n", - " [4 3 3]\n", - " [3 4 3]]\n", - "\n", - " [[2 2 3]\n", - " [3 3 4]\n", - " [4 3 2]]\n", - "\n", - " [[2 3 3]\n", - " [3 4 2]\n", - " [3 2 4]]\n", - "\n", - " [[3 3 4]\n", - " [4 2 1]\n", - " [2 4 0]]\n", - "\n", - " [[3 4 3]\n", - " [2 1 0]\n", - " [4 0 3]]\n", - "\n", - " [[4 3 0]\n", - " [1 0 3]\n", - " [0 3 0]]\n", - "\n", - " [[3 0 2]\n", - " [0 3 0]\n", - " [3 0 4]]]\n", - "\n", - "\n", - " [[[0 4 3]\n", - " [3 3 4]\n", - " [2 1 4]]\n", - "\n", - " [[4 3 3]\n", - " [3 4 3]\n", - " [1 4 0]]\n", - "\n", - " [[3 3 4]\n", - " [4 3 2]\n", - " [4 0 1]]\n", - "\n", - " [[3 4 2]\n", - " [3 2 4]\n", - " [0 1 0]]\n", - "\n", - " [[4 2 1]\n", - " [2 4 0]\n", - " [1 0 4]]\n", - "\n", - " [[2 1 0]\n", - " [4 0 3]\n", - " [0 4 2]]\n", - "\n", - " [[1 0 3]\n", - " [0 3 0]\n", - " [4 2 4]]\n", - "\n", - " [[0 3 0]\n", - " [3 0 4]\n", - " [2 4 0]]]\n", - "\n", - "\n", - " [[[3 3 4]\n", - " [2 1 4]\n", - " [3 2 4]]\n", - "\n", - " [[3 4 3]\n", - " [1 4 0]\n", - " [2 4 4]]\n", - "\n", - " [[4 3 2]\n", - " [4 0 1]\n", - " [4 4 4]]\n", - "\n", - " [[3 2 4]\n", - " [0 1 0]\n", - " [4 4 3]]\n", - "\n", - " [[2 4 0]\n", - " [1 0 4]\n", - " [4 3 3]]\n", - "\n", - " [[4 0 3]\n", - " [0 4 2]\n", - " [3 3 1]]\n", - "\n", - " [[0 3 0]\n", - " [4 2 4]\n", - " [3 1 0]]\n", - "\n", - " [[3 0 4]\n", - " [2 4 0]\n", - " [1 0 2]]]\n", - "\n", - "\n", - " [[[2 1 4]\n", - " [3 2 4]\n", - " [0 0 4]]\n", - "\n", - " [[1 4 0]\n", - " [2 4 4]\n", - " [0 4 1]]\n", - "\n", - " [[4 0 1]\n", - " [4 4 4]\n", - " [4 1 3]]\n", - "\n", - " [[0 1 0]\n", - " [4 4 3]\n", - " [1 3 4]]\n", - "\n", - " [[1 0 4]\n", - " [4 3 3]\n", - " [3 4 1]]\n", - "\n", - " [[0 4 2]\n", - " [3 3 1]\n", - " [4 1 4]]\n", - "\n", - " [[4 2 4]\n", - " [3 1 0]\n", - " [1 4 0]]\n", - "\n", - " [[2 4 0]\n", - " [1 0 2]\n", - " [4 0 3]]]\n", - "\n", - "\n", - " [[[3 2 4]\n", - " [0 0 4]\n", - " [4 1 2]]\n", - "\n", - " [[2 4 4]\n", - " [0 4 1]\n", - " [1 2 3]]\n", - "\n", - " [[4 4 4]\n", - " [4 1 3]\n", - " [2 3 4]]\n", - "\n", - " [[4 4 3]\n", - " [1 3 4]\n", - " [3 4 1]]\n", - "\n", - " [[4 3 3]\n", - " [3 4 1]\n", - " [4 1 3]]\n", - "\n", - " [[3 3 1]\n", - " [4 1 4]\n", - " [1 3 0]]\n", - "\n", - " [[3 1 0]\n", - " [1 4 0]\n", - " [3 0 0]]\n", - "\n", - " [[1 0 2]\n", - " [4 0 3]\n", - " [0 0 3]]]]\n" - ] - } - ], - "prompt_number": 45 + "outputs": [] }, { "cell_type": "markdown", @@ -2090,20 +1197,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[ 2 14 13 9 8]\n", - " [14 3 6 0 12]\n", - " [13 6 0 42 6]\n", - " [ 9 0 42 1 12]\n", - " [ 8 12 6 12 3]]\n" - ] - } - ], - "prompt_number": 46 + "outputs": [] }, { "cell_type": "heading", @@ -2151,19 +1245,7 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "[[0 0 1]\n", - " [0 1 1]\n", - " [1 0 1]\n", - " [1 1 0]]\n" - ] - } - ], - "prompt_number": 48 + "outputs": [] }, { "cell_type": "heading", @@ -2172,59 +1254,6 @@ "source": [ "Archmaster" ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 47 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 47 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 47 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 47 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 47 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [] } ], "metadata": {}