iPython Notes

Lecture 9.ipynb

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    "#Indexing Arrays"
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    "arr = np.arange(0,11)"
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       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])"
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       "9"
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   "source": [
    "arr[9]"
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     "data": {
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   "source": [
    "arr[1:4]"
   ]
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   "source": [
    "arr[0:3] = 57"
   ]
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   "execution_count": 8,
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     "data": {
      "text/plain": [
       "array([57, 57, 57,  3,  4,  5,  6,  7,  8,  9, 10])"
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   "source": [
    "arr = np.arange(0,11)"
   ]
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   "execution_count": 10,
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       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])"
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   "source": [
    "slice_of_arr = arr [0:6]"
   ]
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   "execution_count": 12,
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       "array([0, 1, 2, 3, 4, 5])"
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     "execution_count": 12,
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   "source": [
    "slice_of_arr"
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   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "slice_of_arr[:] = 99"
   ]
  },
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   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([99, 99, 99, 99, 99, 99])"
      ]
     },
     "execution_count": 14,
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   "execution_count": 15,
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     "data": {
      "text/plain": [
       "array([99, 99, 99, 99, 99, 99,  6,  7,  8,  9, 10])"
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