{ "metadata": { "name": "Task 1" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "# load matplotlib to show figures in inline mode\n", "%pylab inline" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\n", "For more information, type 'help(pylab)'.\n" ] } ], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "import nibabel as nb\n", "import dicom as dcm\n", "from scipy import stats" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Q1. Read behavioral data, plot it, do some stats, save results and plots" ] }, { "cell_type": "code", "collapsed": false, "input": [ "table1 = np.genfromtxt('phenotype.csv', usemask=True, names=True, delimiter=',')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "table1['Weight']" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 4, "text": [ "masked_array(data = [87.09 83.46 96.62 62.6 63.96 78.92 89.81 84.37 98.43 83.0 56.25 87.54 69.4\n", " 58.06 48.08 64.41 94.8 67.59 87.54 68.04 95.7 107.05 75.75 49.44 60.78\n", " 49.44 103.42 69.85 60.33 78.93 65.32 100.24 57.6 115.21 49.44 45.36 105.23\n", " 77.57 94.8 86.18 70.76 92.08 63.05 31.98 72.1 68.5 117.48 87.99 56.25\n", " 83.01 44.45 82.6 66.2 89.81 107.05 64.41 28.12 63.5 71.21 41.28 67.13\n", " 75.75 47.63 14.51 28.58 28.12 64.41 55.8 58.06 39.46 103.87 101.6 63.96\n", " 53.52 109.8 68.5 79.83 64.41 71.21 88.45 44.45 65.32 73.48 83.91 93.89\n", " 81.65 81.19 63.96 77.11 60.78 91.17 72.57 70.76 33.11 95.71 51.4 73.94\n", " 97.07 47.17 20.87 122.92 57.15 85.28 58.51 81.65 137.16 70.3 76.66 35.38\n", " 31.3 54.43 68.04 79.38 80.74 66.22 119.75 61.23 60.0 34.47 28.6 87.09\n", " 45.36 73.48 70.31 78.47 93.89 83.91 95.5 82.1 108.86 62.14 69.1 34.5 69.85\n", " 63.6 76.8 65.77 48.99 25.9 66.2 96.6 44.45 125.64 65.9 103.42 90.72 64.41\n", " 84.37 84.37 61.69 27.21 36.74 62.14 82.1 54.43 119.29 98.42 84.37 87.54\n", " 54.88 64.41 40.82 97.08 102.97 83.46 52.61 87.54 99.33 72.58 72.58 80.74\n", " 49.44 67.59 60.78 18.6 81.65 98.43 48.98 113.2 92.07 70.76 76.66 70.31\n", " 75.75 44.45 119.1 97.07 71.21 88.9 79.38 64.86 66.68 64.41 68.03 66.68\n", " 77.34 92.08 76.66 135.62 103.42 177.8 131.08 87.09 81.65 -- 54.88 61.69],\n", " mask = [False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " False False False False False False False False False False False False\n", " True False False],\n", " fill_value = 1e+20)\n" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "table2 = np.recfromtxt('phenotype.csv', usemask=True, names=True, delimiter=',')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "np.mean(table2.Weight)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 6, "text": [ "73.648786407766977" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "np.std(table2.Weight)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 7, "text": [ "24.218487341486011" ] } ], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "_ = hist(table2.Weight[table2.Weight.mask==False], 128)\n", "_ = xlabel('Weight')\n", "_ = ylabel('Frequency')" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAEMCAYAAAAmgtofAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAGrlJREFUeJzt3WtwVOUBxvFnQ0QiJiFAhdYQyCiXcM2CkACCSUVCqxgc\nBrlYb4EOTbWUSxmt0oH4wRkKVKkWtChasUg70hYEA4h2uZiYQKWAIZSiIIQptwTIQhIakrcfUpYE\nkuxmkz1nSf6/GWeyZ0/O+2Q35mHfc3ZfhzHGCADQooXYHQAAYD/KAABAGQAAKAMAgCgDAIAoAwCA\nAlgGaWlp6tSpk/r16+fZ5na7lZqaqpiYGI0bN04XL14M1PAAgAYIWBk8/fTT2rRpU41ty5cvV0xM\njP79738rOjpab7zxRqCGBwA0QMDKYMSIEYqKiqqxLTc3V1OnTtWtt96qtLQ05eTkBGp4AEADWHrO\nYNeuXerVq5ckqVevXsrNzbVyeABAHUKtHMzXT75wOBwBTgIAzZO/nzBk6SuDwYMHKz8/X5KUn5+v\nwYMH17mvMSao/ps/f77tGW6GTL7k+v8zbOnzHIyPFZlu3kzBmqsxLC2DhIQErVy5UqWlpVq5cqUS\nExOtHB4AUIeAlcHkyZM1bNgwHTp0SF26dNE777yj9PR0HTt2TD179tSJEyf0k5/8JFDDAwAaIGDn\nDD744INat69bty5QQwZUUlKS3RFuEIyZpODMRSbfkMl3wZrLXw7T2ImmAHA4HI2e/0LwqrpAwEji\neQaaUmP+dvJxFAAAygAAQBkAAEQZAABEGQAARBkAAEQZAABEGQAARBkAAEQZAABEGQAARBkAAEQZ\nAABEGQAARBkAAEQZAABEGQAARBkAAEQZAABEGQAARBkAAEQZAABEGQAARBkAAEQZAABEGQAARBkA\nAEQZAABEGQAARBkAAEQZAABEGQAARBkAAEQZAABkUxmsWLFCw4YN06BBgzRz5kw7IgAAqrG8DIqK\nivTyyy/rk08+0a5du3To0CFt3rzZ6hgAgGpCrR4wLCxMxhhduHBBklRSUqKoqCirYwAAqrH8lUFY\nWJiWL1+ubt26qXPnzho+fLiGDBlidQwAQDWWvzI4c+aM0tPTdeDAAUVFRWnChAnauHGjHnzwwRr7\nLViwwPN1UlKSkpKSrA2KFiEior3c7nOSpPDwKBUXF9mcCPCdy+WSy+VqkmM5jDGmSY7ko40bN2rV\nqlVas2aNJGn58uU6evSoFi5ceC2UwyGLY8FCDodDkpFk//N8LYsUDHmAxmjM307Lp4lGjBih3bt3\nq6ioSJcvX1ZmZqZGjx5tdQwAQDWWTxNFRERo3rx5euSRR1RSUqIxY8YoOTnZ6hgAgGosnybyBdNE\nzRvTREBg3FTTRACA4EMZAAAoAwAAZQAAEGUAABBlAAAQZQAAEGUAABBlAAAQZQAAEGUAABBlAAAQ\nZQAAEGUAABBlAAAQZQAAEGUAABBlAAAQZQBbhcrhcCgion2jjxQR0d7rsa7u01RjAs0JayDDctXX\nQG6qtZB9WVe5tvWOWQMZzQlrIAMAGoUyAABQBgAAygAAIMoAACDKAAAgygAAIMoAACDKAAAgygAA\nIMoAACDKAAAgygAAIMoAACDKAAAgygAAIJvK4NKlS3ryySfVo0cP9e7dW1988YUdMQAA/+e1DPbv\n39/kg86fP18xMTHat2+f9u3bp7i4uCYfAwDgO6/LXt577726fPmynn76aT322GOKjIxs9KDx8fHK\nzs5WWFhY7aFY9rJZY9lLIDACuuzlzp079cc//lHHjh3TwIEDNXnyZG3ZssWvwSSpoKBAZWVlSk9P\nV0JCghYuXKiysjK/jwcAaDyvrwyuunLliv72t79pxowZioyMVGhoqBYvXqyUlJQGDXj48GH16NFD\n69at06hRozR9+nSNGjVKTzzxxLVQDofmz5/vuZ2UlKSkpKQGjQPfRES0l9t9TpIUHh6l4uKigByz\n+rYq1V8Z3CLpSh373yKp3Gu+QLwyCMRjAzQll8sll8vluZ2RkeH3KwOvZbB37169++672rBhgx54\n4AFNmzZNAwcO1LfffqsxY8YoPz+/wYPGxcV5vi8zM1PvvfeePvjgg2uhmCayTCCmSXz5o3v9NFHd\n+/uWLxBlwBQSbjYBnSaaMWOGnE6n9u7dq2XLlmngwIGSpK5du+qXv/ylX4N2795dOTk5qqys1MaN\nGzVq1Ci/jgMAaBpeXxlcvHhRYWFhatWqlSSpoqJCZWVlatu2rd+DHjp0SE888YTKyso0atQoZWRk\n1DgerwyswysDXhmg+WjM306vZZCYmKitW7fq9ttvlyS53W6lpKQoKyvLrwF9CkUZWIYyoAzQfAR0\nmqi0tNRTBJIUHh4ut9vt12AAgODktQwSEhK0YcMGz+2PPvpICQkJAQ0FALCW12miAwcO6Kc//alO\nnz4tY4zuuOMOvfHGGwF91zDTRNZhmohpIjQfAT1ncNXJkyflcDjUqVMnvwZqCMrAOpQBZYDmozF/\nO0N92amgoECff/65Ll++7NlW/U1iAICbm9cyePHFF7V+/XoNGzZMrVu39mynDACg+fA6TdS7d2/t\n2bNHt956q1WZmCayENNETBOh+QjopaX9+/fX0aNH/To4AODm4HWa6MyZM+rXr5+GDBmiqKgoSVXt\ns379+oCHAwBYw2sZ/OpXv7phW9XLZwBAc+HTpaX//e9/9cUXX2jkyJEqKSnRlStXFBEREbhQnDOw\nDOcMOGeA5iOg5wz+8pe/KDExUU8//bSkqstMH3nkEb8GAwAEJ69lsGzZMu3YscPzSqBHjx46ffp0\nwIMBAKzjtQwcDoduu+02z+0zZ86oQ4cOAQ0FALCW1zJ49NFH9Ytf/EIlJSX6wx/+oEmTJunxxx+3\nIhsAwCJeTyAbY7Rt2zatXbtWlZWVmjJlioYPHx7YUJxAtgwnkDmBjObDkg+qsxJlYB3KgDJA8xHQ\nD6qLjY2tdcBvvvnGrwEBq0REtJfbfU7h4VEqLi5qsRkAX3gtg127dnm+Lioq0rvvvqvw8PCAhgKa\ngtt9TpKR223fmySDIQPgiwZPE1VWVmrAgAHav39/oDIxTWSh5jxNdP02O6aJfJm+AppKQKeJ/vGP\nf3g+fqKsrEzbtm1T165d/RoMABCcvJbBnDlzPGXQpk0bDR06VK+99lrAgwEArMPVRC0c00RME6H5\nCOg00ZIlS274lNLq/7PNnj3br4EBAMHDaxnk5eVpy5YtGjVqlCTp008/1ejRoxUTExPwcAAAa3gt\ng0OHDikrK8vzx//48eOaPHmy3n777YCHAwBYw+tnE5WUlKh169ae261bt1ZJSUlAQwEArOX1lcHc\nuXM1cuRIjRkzRsYYbdmyRRkZGVZkAwBYxKeric6ePavNmzfL4XAoJSUl4B9hzdVE1uFqIq4mQvMR\n0JXOJKm8vFzGGE2ZMkWVlZU6cuSIX4MBAIKT1zL4/e9/r8mTJ+ull16SVLUe8o9+9KOABwMAWMdr\nGaxatUpbtmxR27ZtJUl33nmn3G53wIMBAKzjtQwiIyMVEnJtt2PHjik6OjqgoQAA1vJaBk8++aQe\ne+wxnT9/XhkZGXrooYc0bdo0K7IBACxS79VExhgdP35clZWVnmUvJ02apC5dugQ2FFcTWYaribia\nCM1HwJa9NMaof//+AV27oDaUgXUoA8oAzUfALi11OBwaOnSo1q1b59fB61JRUSGn06mxY8c26XEB\nAP7x+g7kHTt26K233lKHDh3UuXNnSVUlsW/fPr8HXbp0qXr37s1VSQAQJOosg2PHjikmJkaZmZlN\nOm1TUFCgjz/+WC+++KJ+85vfNMkxAQCNU2cZpKamas+ePerWrZvGjx+vtWvXNsmAs2bN0qJFi1Rc\nXNwkxwMANJ7XaSJJ+uabb5pksA0bNuiOO+6Q0+mUy+Wqd98FCxZ4vk5KSlJSUlKTZGhJIiLay+0+\np/DwKBUXFwXNsfwXKofDEfAMV39WX/e5mqe2bf6Obe/jjJuFy+Xy+rfUV3VeTeR0OrVnz54bvm6M\nF154QatWrVJoaKjKyspUXFys8ePH67333qsZiquJmoQvV7L4esVMQ66KCeTVRHVlaMqriXy5ksmf\nY/nyO83VR2iMgFxa2qpVK912222SpNLSUoWFhdUYsLHTPNu2bdPixYv10Ucf3RiKMmgSlAFlgJYl\nIGsgV1RU+B3IV9evrQwAsIdP6xlYjVcGTYNXBrwyQMsS8PUMAADNG2UAAKAMAACUAQBAlAEAQJQB\nAECUAQBAlAEAQJQBAECUAQBAlAEAQJQBAECUAQBAlAEAQJQBAECUAQBAlAEAQJQBGixUDodDERHt\nPVsiItrfsO36/Rt6fF/2qX3Ma/fVf8yG5qpy9Wf17vrj15cZsB/LXjZjgVr2sqHLS9a3fGXj7ruW\n2dsymU1xLN/v8z52UywvClyPZS8BAI1CGQAAKAMAAGUAABBlAAAQZQAAEGUAABBlAAAQZQAAEGUA\nABBlAAAQZQAAEGUAABBlAAAQZQAAEGUAAJANZXD8+HElJyerT58+SkpK0urVq62OAAC4juUrnZ08\neVInT55UfHy8zp49qyFDhmjv3r0KDw+/FoqVzpoEK52x0hlalptqpbPOnTsrPj5ektSxY0f16dNH\nu3fvtjoGAKAaW88ZHD58WHl5eRoyZIidMQCgxQu1a2C3262JEyfqlVdeUdu2bW+4f8GCBZ6vk5KS\nlJSUZF24JhQR0V5u9zlJt0gqlySFh0epuLjIc9/V29X3r77Nl+PXv3/o/6cfbszgv6vH9LYNTaWh\nvxvBdnw0PZfLJZfL1STHsvycgSSVl5frwQcf1A9/+EPNnDnzxlDN6JyBr/PPdc2/N+T41+9f2zy/\nt3nuhpwzaMzcPOcMGn7OINDnEzhfcfO7qc4ZGGM0depU9e3bt9YiAABYz/Iy+Pzzz/X+++/rs88+\nk9PplNPp1KZNm6yOAQCoxpZpIm+YJmKaiGkiponQcDfVNBEAIPhQBgAAygAAQBkAAEQZAABEGQAA\nRBkAAEQZAABEGQAARBkAAEQZAABEGQAARBkAAEQZAABEGQAARBkAAEQZAABEGSgior0cDociItrX\neV/Vf63r3O/G/Vt7vs83obXsH3rDsa6OXT2X/0Jr+f7rx2zoz3Gzq+0x8eU+/8ap/3EOveF3r777\n6v/9re93qO7nuPrv2fXHr+++2varL1/1++rbH1V8fewbqsUve+nbMoNS9eULfV8asub3NcVSjfUt\nr9jQZS8Dtxzlzbvspb+5GrrsZSByeX/+fX+8vC2J6s9yqb4s48nSm955e15Y9hIA4DfKAABAGQAA\nKAMAgCgDAIAoAwCAKAMAgCgDAIAoAwCAKAMAgCgDAIAoAwCAKAMAgCgDAIAoAwCAKAMAgCgDAIBs\nKoPt27crLi5O3bt312uvvWZHhGbCZXeAm4jL7gA3CZfdAW7gcrnsjlCrYM3lL1vK4Oc//7nefPNN\nbd26Vb/73e909uxZO2I0Ay67A9xEXHYHuEm47A5wg2D9oxusufxleRlcuHBBkjRy5Eh17dpVo0eP\nVk5OjtUxAADVWF4Gu3btUq9evTy3e/furS+++MLqGACAakLtDlAXh8Nh5Wj1jOnwcb/r97/x+6pv\nu3YMX/av7/u85WrIOA3d39/7mvZYvj2WGQHNVd/zYtXj5dvz7+3xyqhjn9qOX999N+5XX76a9924\nLSMjQ8HIvly+Pva+s7wMBg8erLlz53pu5+XlacyYMTX2McZYHQsAWjTLp4kiIyMlVV1RdPToUX3y\nySdKSEiwOgYAoBpbpoleffVVTZ8+XeXl5ZoxY4Y6duxoRwwAwP/Zcmnpfffdp/z8fB0+fFgzZszw\nbA+G9x8cP35cycnJ6tOnj5KSkrR69WpJktvtVmpqqmJiYjRu3DhdvHjR8mwVFRVyOp0aO3Zs0GS6\ndOmSnnzySfXo0UO9e/dWTk6O7blWrFihYcOGadCgQZo5c6Yk6x+rtLQ0derUSf369fNsqy/Db3/7\nW3Xv3l29e/fWzp07Lcs0d+5cxcXFaeDAgZo5c6ZKS0ttz3TVkiVLFBISoqKiIksz1ZfrnXfeUVxc\nnPr06aPnnnvO0ly1ZTpw4IAeeughxcfHa+zYscrPz/c/kwki8fHxZtu2bebo0aOmZ8+e5syZM5Zn\n+M9//mP27NljjDHmzJkzJjY21hQXF5uFCxeaZ5991pSVlZlnnnnGLFq0yPJsS5YsMVOmTDFjx441\nxpigyDRnzhwzb948U1paasrLy8358+dtzVVYWGi6detmLl68aCoqKswPfvADs2nTJsszbd++3Xz5\n5Zemb9++nm11ZTh16pTp2bOn+fbbb43L5TJOp9OyTFu2bDEVFRWmoqLCTJs2zbz11lu2ZzLGmGPH\njpmUlBTTrVs3U1hYaGmmunLt37/fJCYmmkOHDhljjDl9+rSluWrLNHHiRPOnP/3JGGPM6tWrzaRJ\nk/zOFDQfRxEs7z/o3Lmz4uPjJUkdO3ZUnz59tGvXLuXm5mrq1Km69dZblZaWZnm2goICffzxx5o2\nbZrnBLvdmSRp69ateuGFF9SmTRuFhoYqMjLS1lxhYWEyxujChQsqLS1VSUmJ2rVrZ3mmESNGKCoq\nqsa2ujLk5ORozJgxiomJ0X333SdjjNxutyWZHnjgAYWEhCgkJEQpKSnatm2b7Zkkafbs2fr1r39d\nY5tVmerKlZmZqalTp6p79+6SpO985zuW5qotU2RkpAoLC1VZWanCwkLP/f5kCpoyCMb3Hxw+fFh5\neXkaMmRIjXy9evVSbm6upVlmzZqlRYsWKSTk2lNmd6aCggKVlZUpPT1dCQkJWrhwoUpLS23NFRYW\npuXLl6tbt27q3Lmzhg8froSEBNsfK6nu5ysnJ0dxcXGe/Xr27GlLvhUrVnimIHNzc23LtG7dOkVH\nR6t///41ttuZSZK2bNmir776Svfcc4+mTZumAwcO2J5r0aJFWrp0qaKiovT66697CtSfTEFTBsHG\n7XZr4sSJeuWVV3T77bfbernrhg0bdMcdd8jpdNbIYWcmSSorK9OhQ4c0fvx4uVwu5eXl6c9//rOt\nuc6cOaP09HQdOHBAR48eVXZ2tjZs2GD7YyU17Pmy9n020ksvvaTw8HBNmDBBUu1ZrchUUlKil19+\nucb1+1ez2JXpqrKyMhUVFWnHjh1KTU3Vs88+a3uutLQ0/exnP1NhYaHS09OVlpbmd6agKYPBgwfr\n4MGDntt5eXlKTEy0JUt5ebnGjx+vxx9/XKmpqZ58V0/O5Ofna/DgwZblycrK0vr16xUbG6vJkyfr\ns88+0+OPP25rJkm6++671bNnT40dO1ZhYWGaPHmyNm3aZGuu3NxcJSYm6u6771aHDh00YcIE7dix\nw/bHSqr7dyghIcHzr0xJOnjwoKX53n33XW3evFnvv/++Z5tdmb7++msdPXpUAwYMUGxsrAoKCjRo\n0CCdOnXK9scpMTFREydOVFhYmMaOHauDBw+qrKzM1lw7d+5UWlqaQkNDNXXqVG3fvl2Sf89f0JRB\nsLz/wBijqVOnqm/fvp4rUaSqB3flypUqLS3VypUrLS2ql19+WcePH9eRI0e0Zs0aff/739eqVats\nzXRV9+7dlZOTo8rKSm3cuFGjRo2yNdeIESO0e/duFRUV6fLly8rMzNTo0aOD4rGqK8OQIUO0efNm\nHTt2TC6XSyEhIQoPD7ck06ZNm7Ro0SKtX79ebdq08Wy3K1O/fv106tQpHTlyREeOHFF0dLS+/PJL\nderUydbHSZKGDh2qzMxMGWOUk5Oju+66S23atLE1V3JystavXy+panrtgQcekOTn89f4c9xNx+Vy\nmV69epm77rrLLF261JYMO3bsMA6HwwwYMMDEx8eb+Ph4k5mZaYqLi83DDz9sunTpYlJTU43b7bYl\nn8vl8lxNFAyZ/vWvf5mEhAQzYMAAM2fOHHPx4kXbc73zzjtm5MiR5p577jHz5s0zFRUVlmeaNGmS\n+e53v2tat25toqOjzcqVK+vN8Oqrr5q77rrLxMXFme3btwc00y233GKio6PN22+/be6++24TExPj\n+V1PT0+3JVP1x6m62NhYz9VEVmWqK9eVK1fM9OnTTa9evcy4ceNMbm6upbmuf/5WrlxpvvrqKzNp\n0iTTv39/M2XKFJOfn+93JocxQTCZCgCwVdBMEwEA7EMZAAAoAwAAZQAAEGWAFmTWrFlaunSp53ZK\nSop+/OMfe27PmTNHr7zySq3fO3/+fH366af1Hn/BggVasmTJDdsvXLig5cuX+5kasAZlgBbj3nvv\nVVZWliR5Psul+htzsrOzNXz48Fq/NyMjQ/fff3+9x6/rHZ7nzp3TsmXL/EwNWIMyQIsxdOhQZWdn\nS6p6h3vfvn0VHh6u8+fP6/Lly8rPz1e7du08n7X0zDPPqLCwUJL01FNPae3atZKqPkvo/vvvl9Pp\n1PPPP+/5PB+p6h20ycnJ6t+/v9asWSNJev755/X111/L6XTW+NhjIJgE7RrIQFP73ve+p9DQUB0/\nflzZ2dkaOnSoTpw4oezsbEVERKhfv36aO3euXn/9dXXp0kXLli3TW2+9peeee04Oh8PzL/9p06bp\nvffeU8+ePTVhwgS1atVKUtW713fu3Knt27fL7XYrOTlZkyZN0sKFC5WXl6c9e/bY+eMD9aIM0KIM\nGzZMWVlZysrK0uzZs3XixAllZWUpMjJS3bt311//+lc9/PDDkqoWE+rWrVuN7y8oKFBISIicTqck\n6dFHH9WHH34oqWqaKDU1Ve3atVO7du3UqlUrnT59Oig+JA/whjJAizJ8+HB9/vnn2r9/v/r166cu\nXbpo8eLFioyM1Lhx47Rt27Z6/wV//XmB6//Qt2vXzvN169atVVZW1rQ/ABAgnDNAizJs2DBt2LBB\nHTp0kMPhUFRUlM6fP6/s7Gw9+OCDio2N1dq1a2WMUXl5eY0TzJJ05513yhijf/7znyopKdGHH37o\nKYi6XgF06tRJxcXFAf/ZgMagDNCi9O3bV4WFhTU+tbR///5q166dOnTooGXLlunvf/+74uPj5XQ6\nPSecq3vzzTc1e/ZsDR8+XDExMYqNjZWkGucVqgsLC9PEiRM1cOBATiAjaPFBdUADXbp0SW3btlVp\naameeuoppaWlKSUlxe5YQKPwygBooBUrVsjpdGro0KHq27evkpOT7Y4ENBqvDAAAvDIAAFAGAABR\nBgAAUQYAAFEGAABRBgAASf8DwIchM5YWvtIAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "savefig('task1.png')" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "np.unique1d(table2.Gender)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 10, "text": [ "masked_array(data = [\"female\" \"male\"],\n", " mask = [False False],\n", " fill_value = N/A)\n" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Q2 Read DICOM headers and figure out something about the data" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import dicom as dcm" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "from glob import glob" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "fl = glob('/opt/data/NIPYPE_DATA/2475376/TfMRI_breathHold_1400/*.dcm')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "code", "collapsed": false, "input": [ "TR = []\n", "for filename in fl:\n", " dcmobj = dcm.read_file(filename)\n", " TR.append(float(dcmobj.RepetitionTime))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "np.unique1d(TR)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 15, "text": [ "array([ 1400.])" ] } ], "prompt_number": 15 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Q3 Take a nifti file of an fMRI timeseries and plot a slice of a tSNR image" ] }, { "cell_type": "code", "collapsed": false, "input": [ "img = nb.load('fmri.nii.gz')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 16 }, { "cell_type": "code", "collapsed": false, "input": [ "a = img.get_data()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [ "TSNR = np.mean(a, axis=3)/np.var(a, axis=3)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": [ "TSNR.shape" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 19, "text": [ "(112, 112, 64)" ] } ], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "imshow(TSNR[:, :, 32], cmap=cm.hot)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 20, "text": [ "" ] }, { "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAQIAAAD8CAYAAACcoKqNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 20 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 20 } ], "metadata": {} } ] }