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@jamesp
Created September 30, 2015 11:26
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import sys\n",
"sys.path.append('/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x112cc9ad0>]"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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IynIdkUTKv/9t05vffhuqVHEdjYSDxhwkaEeOwBVX2OylOXM0BhHvxoyxbT7T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\nRERERERERERERERERERERERERCQ+/D+eLmlwz6p8VwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x113203ad0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = np.arange(-100, 100)\n",
"y = x**2\n",
"plt.plot(x,y)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import urllib2\n",
"rgb = plt.imread(urllib2.urlopen('http://wiki.bildr.org/images/9/96/Rgb.png'))"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x10c86a9d0>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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Dw/UAP7AbyMc4cnM/cBqwHfgLxs7XRuZtZ+BVjILTGmN4dCSH9k7k0HAtZPFp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\niMz9PzZh51j7tqoBAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10c48b210>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.imshow(rgb)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.colorbar.Colorbar instance at 0x114f76290>"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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L/CRUFkcVwSlTpuiO4CpbtmzRHUHEqQhWkTGz29zNqDvc6tcwCLlLm6OK4F133aU7gqvs\n2rVL1nEUURFBSzDQbnP+C7Sch1rvdDlqOf7bQmVx1FXvxMRE3RFcp7q6Wq7FCstFebe5ZGAgcDlq\n283/AMWoa4iNOKoIAuTm5lJcXKw7hms888wzzJgxQ3cMEWeCFcEtW7aE20/IzG5ze1Bd4KPG419A\nP4IUQY+pxNbzNvc3wcsvv8w999wT/kBhGTtNZxB6eTweiLxueF988UVTB957773+50sCtqBaeXtR\ni7P8FLXYc71eqMGTK4EWqPVPx6PWM2jEUdcEAW699VbdEVzn2LFjuiOIOBPBNUHf3eY2Au/QsNtc\nfetoM/ARsB5VAF8hSAEEB3aHW7ZsKZOmY2zWrFk88MADumOIOBKD3eb+aDzCclxLEODvf/+77giu\nYtVCmkLUs9NGS45rCQKMHj1adwRXOXAg5DQrIZrMTj05R7YEMzIy6Natm+4YrvLggw/qjiDiiJ0W\nVXVkEQT4xz/+oTuCq8yaNUt3BBFHpAhaIDc3lxYtWuiO4RpHjhxh8+bNumOIOCFF0CJ//KOpwR9h\nkf79++uOIOKEFEGL3HfffbojuEpNTY0sqiAsYafRYUcXwcTERH7/+9/rjuEqN998s+4IIg5IS9BC\nDz/8sCysEEMlJSUcOXJEdwzhcFIELZSYmMgTTzyhO4ar9OzZU3cE4XBSBC2Wn59PcnKy7hiusXfv\nXkpKSnTHEA4mRTAKFi1apDuCq8g+0CISUgSjYPjw4XTq5L/ArIgmuQwhmkuKYJTs2rWLhIS4+iPZ\nWkFBAcePH9cdQziQTJGJkqSkJF544QXdMVylXbt2uiMIB4qwJRhuy8084DvUlpulQMguS7gimIpa\nlHAtalHC+kl5WcASYCuwGLXFXb2pRrjNwMgw72+5u+++W65XxVBlZaUsvy+aLIIiaGbLTYAVwADj\n8VSoLOGK4DFgONAfyDGeXwI8iiqCPYFlxucYocYbH0cBz5s4h+X+85//SLc4hqZNm8auXbt0xxAO\nEkERNLPlJjRhCwAzleJ742MKqgofBsYAs43XZwPXGc/HAm8Z4XYZYS80G8YqycnJ7NixI9andbW+\nffvqjiAcJIIiaGbLTS9wMbAOWIBqlAVlZlHVBKAE6A68AGwA2gPlxtfLjc8BOqK2tgsVMCa6du1K\nQUEBjz/+uI7Tu86RI0do0aIFNTU1uqMIBwh2vW/nzp3hehVmhoxLULvQfQ9cBRSieq0BmWkJ1qG6\nw52BS1FdYv9QoYJpW0L2scce44orrtB1etepra1l8uTJumMIBwjW8svOziYvL+/UIwAzW25W0dCD\nXYjahzgrWJamLK//HTAfGIRq/Z0NfAN0ACqCBOxsvNZIfn7+qech/sARW7RoER07dqS8vDz8wSJi\nzz77LNnZ2UyZMkV3FGGBoqIiioqKLH/fCKa/rAHOA7JRW26ORw2O+GqPqkle1OU4D3Ao2BuGu3jY\nDrXF3bdAGmqbu+mo/TwPAn9ADYq0Nj72Bv5hnLgTsBToQePWoDdWEyHrdezYkX379sX0nG7273//\nm6FDh+qOISxm1b7DZifaP/XUU4HOdxXwF9QYxauoWSv1222+BNwP3IeqXd8DUzj9Mt1pwrUEO6AG\nPhKMx99Qo8GlwBzgTtQAyI3G8RuN1zcaASahsTvsa/fu3aSkpOiO4RqXXHIJxcXFXHTRRbqjCBuK\nsBEUbsvN/zUepoQrgmXAwACvHwKCXWz7nfGwleTkZL7//nvat29PVVWV7jiukJuby/Lly6N2qUM4\nV6x7gqG4ajJdWloalZWVZGUFvUYqLDZ8+HDKysp0xxA2I/cOa1ZeXs4ZZ5yhO4Zr5OTk8O677+qO\nIWxEiqBmSUlJVFVVMXJkzO/qc60bb7yRadOm6Y4hbEKKoA14PB4WLVrEk08+qTuKa8yYMYNLLrmE\nkydP6o4iNJNVZGxkxowZrFu3TncM1/jkk084++yzdccQmklL0GZycnKoqamhV69euqO4woEDB0hI\nSOD999/XHUVoIkXQhlJSUti0aROPPfZY/YRQEUVer5frr7+e4cOHx6zbI+xDiqCNFRQUsGfPHumy\nxUhRURFpaWmsWLFCdxQRQ1IEba5Tp07s27ePZ555Rnaxi4Ha2lry8vIYMmSI7GnsElIEHWLKlCnU\n1tYyevRo3VFcobi4mPT0dH7xi19IFznOSRF0mHnz5nHw4EFuuOEG3VFc4bnnniMtLU12s4tjMkXG\ngbKyspg7dy5Hjx5l3LhxJCYm6o4U12praykoKMDj8ZCfny+LtcYZaQk6WGpqKnPmzKG2tpZXX31V\ndxxXmD59OqmpqQwcGGgtD+FEERbBcLvN1RuMWs3q+lBZpAg2U0JCAhMmTMDr9fL5559z++23644U\n90pLS/F4PHTq1Inf/va3uuOICERQBM3uNpeIWu/0I8KsfyhF0AJ9+vThjTfewOv1snPnTsaOHUvb\ntm11x4pbe/fu5Te/+Q0ej4fU1FReeOEFvvrKf4V1YWcRFEGzu839ApgL7A+XRYqgxbKzsyksLOTA\ngQMcOXKEkpIS2eckimpqapg0aRJdunQhNTWVrl27MmvWLN2xRBgRFEEzu811QhXGF+pPFypLU/YY\nEU3UsmVLBgwYwJIlS6itrSUtLU2mfkRRTU0NX375JRMnTmTixIkAtGvXjgEDBtC3b1/69OlDv379\nOP/888nIyDD1nvv372fdunVs376d9evXs379ekpLS+nWrZuskxiBCP4fmBkt+Qtquw8vqiscsjss\nRTBGysrKpABqcODAAZYsWcKSJUssfd8tW7bg9XrlFstmCjbosXfv3nB7AZnZbW4QqpsMap+kq1Bd\n53mB3lCKYIwUFBTojiAsdPz4cXbv3k12drbuKI4UrAh26NCBDh06nPq8pKTE/xAzu82d6/P8deAD\nghRAkGuCMSMrpsSfhQv99/oRZkVwTfAE8ABq58uNwDvAJtRuc/cE+oZwdLXlvbGaCGkHJ0+eJClJ\nGt3x5swzz6SioiL8gXHEqi03J0yYYOrA1157zYrzhST/M2NAWgzxaf/+sLMvRBB2agRJdzgGCgsL\ndUcQUVJdXa07giPJbXMus3btWt0RRJQUFRXpjuBIsoCCy5SWluqOIKJk2bJluiM4kp1agnJNMAZk\nfmD8kl9wzWOna4JSBIWIwLZt23RHcCQpgi7y5Zdf6o4gomjv3r26IziSFEEX+eSTT3RHEMJ27FQE\nzQ6MJAKlqNtPALKAJcBWYDHQ2ufYqajFDjcDI62J6VxSBIVozE4DI2aL4C9Rt6jUp3oUVQR7AsuM\nz0Etcjje+DgKeL4J54hL0h0WojGnTZHpDFwNzKLh9pUxwGzj+WzgOuP5WOAt1IoNu1CLH15oUVZH\nkpagEI05rSX4Z+BhwLcstwfKjeflxucAHTl9WZtACx4KIVzOTkUw3MDItUAF6npgXpBjvIRe6DDg\n1/Lz8089z8vLIy8v2NsLIXQpKiqKyl0xdhoYCbc6w++A21DL16QCmcB7qF2c8oBvgA7AcqAXDdcG\nZxofPwKmASv93tc1q8i0adOGb7/9VncMEUVVVVWkp6frjhETVq0ic/31ITeAO+W9994LdL5RqNWj\nE1GX6f7g9/WxwAxU77UO1ZP9v2DnCNcdfgy1cms34CbjjW5DLVBYv73a7UD9CgHzjONSjO85D1gV\n5hxxLSHB1eNCruCWAmilKO82txToBwwAfg68HCpLU+cJ1qeaCcwB7kQNgNxovL7ReH0jqvU4CXN7\nAgghXCSCnqDvbnPQsNvcJp9jjvg8TwcOhHrDphTBFcYD4BAQbAu13xkPAbKYqhABRDD9JdBucxcF\nOO464Peoy3Uh5ytLXy3KLroo0L+PEO4WQXfYbBOyENVNHg38LdSB0kyJskGDBvHBBx+EP1AIFwnW\nHT5w4AAHDx4M9a1mdpvz9TGqzrUFAr6xtASjTDZeF6KxYC2/tm3b0rNnz1OPAHx3m0tB3aHmv5Nc\ndxpGlAcaH4NWVmkJRtmgQYN0RxDCdiIYGPHdbS4ReJWG3eYAXgJuAH6GunOtGjVjJSgpglGWmpqq\nO4KIItl3uHkinCe80Hj4esnn+dPGwxQpgkJEoE+fProjOJKdbpaQIhgDaWlpHD16VHcMEQX9+vXT\nHcGR7LTlhAyMxIBcF4xfI0aM0B3Bkey0gIIUwRjIzc3VHUFEiSz80TxSBF3mpptCDk4J4Tp2KoJy\nTTAGpDscn+TftflkYESIOFBQUKA7gmPZqQhKdzhGfvWrX+mOICzWv39/3REcy2l7jAgL3Hvvvboj\nCAtlZGTQvn378AeKgOSaoAt1796d5ORkjh8/rjuKsMCQIUN0R3A06Q67kMfjke5THJk7d67uCI5m\np5agFMEYkiW14kNSUhIZGRm6YzianYqgdIdjSK4hxQe5vhs56Q672OTJk3VHEBF68skndUdwPDu1\nBKUIxtiMGTN0RxARSE1N5ayzztIdw/EinCIzCtgMbAMeCfD1W4B1wHrgEyAnVBYpgjHWqlUrzjnn\nHN0xRDMVFxfrjhAXorzl5g7gUlTx+y1httyUIqjBxx9/rDuCaIbMzExZOssiERRB3y03j9Ow5aav\n/wDfGc9XAp1DZZEiqME555xDx44ddccQTfTnP/9Zd4S4EUERDLTlZqcQp7oTWBAqi4wOa7J06VJ6\n9+6tO4YwKSUlhQkTJuiOETeCDXpUVVVRVVUV8lubcJrhwARgaKiDpAhqcsEFF9ClSxf27NkT/mCh\n3UsvvRT+IGFasCKYnp5Oenr6qc/37dvnf4jZLTdzgFdQ1w4Ph8oi3WGN5s+frzuCMOnnP/+57ghx\nJYLusJktN88B3gNuRV0/DElaghr94Ac/oEePHnzxRdh/J6HRxo0bdUeIOxGsEGNmy83fAG2AF4zX\njqMGVALyBPtClHntNGNcp6NHj5Kenm6rjWdEgwEDBlBSUqI7hm14PB6IvG54c3JCTt07Zf369Vac\nLyTpDmuWlpbGpEmTdMcQQaxatUp3hLjkxDtGdqFmX5cC9T8VWcASYCuwGGjtc/xU1GzuzcBIK4LG\ns2effVbuQrChP/3pTyQlyRWjaLBTETTbzNwJDAIO+bz2NHDA+PgIqg/+KGoW9z+Awaj5O0uBnoBv\nf0+6w3527NhB9+7ddccQhszMTL777rvwB7qMVd1hs5vWb9iwwYrzhdSU7rB/kDHAbOP5bOA64/lY\n4C3UxchdqNGZoBclhXLuuefy3HPP6Y4hDBUVFbojxDU7tQTNFkEvqkW3BphovNYeKDeelxufA3Tk\n9Hk74WZ0C8P9998vt2XZwNtvv02LFi10x4hrdiqCZi94DAX2AWeirgNu9vu6l9AzuRt9LT8//9Tz\nvLw82cTasHbtWlJSUmQZfk1uuOEGxo8frzuGbRQVFVFUVGT5+9ppNkRz+trTgGpUizAP+AboACwH\neqGuCwLMND5+ZHzPSp/3kGuCIXzxxRecd955umO4TkpKCkePHiUhQSZNBGPVNcGePXuaOnDr1q1W\nnC8kM//aLYH6tcTPQI32lqFmad9uvH47UGg8nwfchJrN3Q01u1vmGTRBjx49mDNnju4YrpKZmUlN\nTY0UwBixU3fYzL94e+BjYC2qNfchakrMTGAEaorMZTS0/DYCc4yPC4FJNO2mZwGMGzeOKVOm6I7h\nCh6Ph2+++UZ3DFexUxGUO0ZsbuLEicyaNUt3jLi2adMmevXqpTuGI1jVHTY7HWz79u1WnC8kafvb\n3CuvvMI111yjO0bcWr16tRRADezUEpQi6AAffvgho0eP1h0j7nz22Wf88Ic/1B3DlaQIiiabN28e\nN998s+4YcSEhIYHVq1czcOBA3VFcK8KNliwlRdBB3nzzTe6//37dMRwtNTWVPXv2SAtQswhbguF2\nm+uF2mfkGPCrcFlkYMSB3n//fa6//nrdMRyprq6u/uK+aAarBka6dOkS/iioX3nd93yJwBbgCtQq\n06tRO85t8jnmTKAr6lbew8Azoc4hLUEH+vGPf8yGDRtISUnRHcUxLrzwQo4fPy4F0CYiaAma2W1u\nP+oWX1O3XUkRdKjevXtTU1NDt27ddEexvV//+tesXLlSlsWykQiKYFN3mwtLfiocbseOHTzxxBMU\nFBTojmL2EodnAAAGIUlEQVRLFRUVnHnmmbpjCD/BLofV1NRQU1MT8lutziItwTjw1FNPsW7dOs44\n4wzdUWxj9OjR1NbWSgG0qWAtv5SUFDIyMk49AjC725xpUgTjRE5ODtXV1dx2222uvu6Vnp7OZ599\nxrx580hOTtYdRwQRwRQZM7vN1TP1H0FGh+PQ4cOHOe+88zh48KDuKDH10EMPMXPmTBITE3VHiVtW\njQ6b3U7CWNzW/3xXAX+hYbe533P6bnNno0aNM1Er2lehVryvDnQOKYJxbMGCBdx6660cPhxy72nH\nGzVqFIWFhbIQagxYVQTNXqbYv3+/FecLSbrDcezqq6/m0KFDFBYWBru+4mi9evWiqqqKhQsXSgF0\nGLltTsTU2LFjqaysZNWqVbRs2VJ3nIhddtllVFRUsGnTJtLT03XHEc0gRVBoMXjwYI4cOcK2bdsY\nM2aM7jhNkpGRwfTp0/F6vSxbtkxGfR3OTkVQrgm63JIlS7jlllvqr73YSosWLbj00kt5//33ZfqP\nTVh1TbB169bhjwK+/fZbK84XkrQEXW7EiBFUVFRQW1vLypUrufzyy7Xm8Xg8PPTQQ2zdupVjx46x\nePFiKYBxSFqC0hK0verqaubOnUthYSFr1qzh66+/jsp5+vXrx9ChQ/nJT37C8OHDo3IOYR2rWoKZ\nmZmmDqysrLTifCFJERRNcuzYMebPn88777xDcXExhw8fpq6ujpMnTzb6zZ2YmIjH4yExMZGcnByu\nueYaLr74YoYNG6YpvYiUVUXQ7GyFqqoqK84XkhRBIYRpVhVBs6P61dXVVpwvJFlAQQgRc3ZqBEkR\nFELEnBRBIYSrxWr/EDOkCAohYk5agkIIV7NTEZTJ0kKImIvybnMA/2N8fR0wIFQWKYI+ioqKdEcI\nyI657JgJJFdT6MwUQRFMBJ5DFcLeqJ3mLvA75mqgB2rx1buBF0JlkSLow44/qGDPXHbMBJKrKRxa\nBM3sNjcGmG08Xwm0BtoHyyJFUAgRc1HebS7QMZ2DZZGBESFEzEUwRcbsiIr/XSb2GYkxrEWFkoc8\n5OGsRxGRa8r5Kv2+Nxf4yOfzqTQeHHkRuMnn882E6A4LIYSTJAHbadhtbi2BB0YWGM9zgeJYhRNC\niFi4CtiCGiCZarx2Dw07zoEaQf4CNUVmYEzTCSGECM3MRMdoeA0oB8p8XssClgBbgcWoofR6U1EZ\nNwMjo5irC7Ac2AB8Dky2QbZU1NSCtcBG1L6uujP5SgRKgQ9slGsXsN7ItcomuVoDc4FNqH/Hi2yQ\nyfUSUU3UbCCZwP35aPkRaua4bxF8Gvi18fwRYKbxvLeRLRmV9QuiN53obKC/8Twd1cy/wAbZ6rel\nS0JdU7nEBpnqTQHeBOYZn9sh105UgfGlO9dsYILxPAloZYNMrjeE00d2HjUesZLN6UXQd9TobONz\naDzi9BHqAmssFAJX2ChbS2A10McmmToDS4HhNLQE7ZBrJ9DW7zWduVoBOwK8boe/K1uJdaU3M9Ex\nltqjusgYH+t/ODqistWLVc5sVGt1pQ2yJaBaBuU0dNd1ZwL4M/Aw4DvRzA65vKjivAaYaINc3YD9\nwOtACfAKcIbmTLYU6yLojfH5mqJ+XlKor0dTOvBP4JdAVYBzxzpbHaqb3hm4FNXy0p3pWqACdd0t\n2JLruv4dh6J+gV0F3I+6/KIzVxJqVPR54+MRGve6dP/M20Ksi+DXqIGAel04/bdPrJWjugQAHVD/\nwaBxzs7Ga9GSjCqAf0N1h+2U7TtgPjDIBpkuRt0XuhN4C7gM9XemOxfAPuPjfuB91D2uOnN9ZTxW\nG5/PRRXDbzRmEpib6BhN2TQeGKm/DvIojS8Sp6C6FduJ3mYvHuCvqG6eL53Z2tEwapgG/Au4XHMm\nf8NouCaoO1dLoH77tDOAT1Cjq7pz/QvoaTzPN/LoziQIPNExFt4C9gK1qOuSd6BG85YSeLrAY0bG\nzcCVUcx1CarruRbVzStFTSPSme0HqOtIa1HTPh42XrfD31e9YTSMDuvO1Q31d7UWNc2p/udad65+\nqJbgOuA91GCJ7kxCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghYuH/AUZNg5dpgzozAAAAAElF\nTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x114d7d090>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.imshow(rgb[:,:,1], cmap=plt.cm.gray)\n",
"plt.colorbar()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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S+TW8F28Y871eO76eMISFOB1TMRcvabJAbfC4fKKM9Sn8l/r2R/DJSS3RxFyK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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x114aead10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"rgb_crop = rgb[200:400, 200:400, :]\n",
"plt.imshow(rgb_crop)\n",
"plt.imsave('my_crop.png', rgb_crop)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
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"nbformat_minor": 0
}
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