Section 5 Python for Data Analysis - NumPy Operations.ipynb

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    "# NumPy Operations"
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    "import numpy as np"
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    "arr = np.arange(0, 11)"
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    "arr + arr # add two arrays together"
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    "arr - arr"
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    "arr * arr"
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    "arr + 100 # add 100 to all elements"
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       "<pre>array([100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110])<\/pre>"
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    "arr * 100"
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    "1\/0"
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   "execution_count":13,
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    {
     "ename":"ZeroDivisionError",
     "evalue":"ZeroDivisionError: division by zero",
     "traceback":[
      "\u001b[0;31m---------------------------------------------------------------------------",
      "Traceback (most recent call last)",
      "    at line 1 in <module>",
      "ZeroDivisionError: division by zero"
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    "arr \/ arr"
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      "<ipython-input-14-7f952cd3e0ce>:1: RuntimeWarning: invalid value encountered in divide\n",
      "  arr \/ arr\n"
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    "1 \/ arr"
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      "<ipython-input-15-e66ae8057bc3>:1: RuntimeWarning: divide by zero encountered in divide\n",
      "  1 \/ arr\n"
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       "<pre>array([       inf, 1.        , 0.5       , 0.33333333, 0.25      ,\n",
       "       0.2       , 0.16666667, 0.14285714, 0.125     , 0.11111111,\n",
       "       0.1       ])<\/pre>"
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   "cell_type":"code",
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    "arr ** 2"
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   "source":[
    "# universal array functions (ufunc)\n",
    "\n",
    "np.sqrt(arr)"
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       "<pre>array([0.        , 1.        , 1.41421356, 1.73205081, 2.        ,\n",
       "       2.23606798, 2.44948974, 2.64575131, 2.82842712, 3.        ,\n",
       "       3.16227766])<\/pre>"
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    "np.exp(arr)"
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       "<pre>array([1.00000000e+00, 2.71828183e+00, 7.38905610e+00, 2.00855369e+01,\n",
       "       5.45981500e+01, 1.48413159e+02, 4.03428793e+02, 1.09663316e+03,\n",
       "       2.98095799e+03, 8.10308393e+03, 2.20264658e+04])<\/pre>"
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    "np.max(arr)"
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       "10"
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    "np.sin(arr)"
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       "<pre>array([ 0.        ,  0.84147098,  0.90929743,  0.14112001, -0.7568025 ,\n",
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    "np.log(arr)"
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      "<ipython-input-21-a67b4ae04e95>:1: RuntimeWarning: divide by zero encountered in log\n",
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