Numpy attributes and methods

wk-03-02-attributes and methods

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     "input": [
      "import numpy as np\n",
      "\n",
      "\n",
      "# The 'shape' attribute\n",
      "y = np.zeros((2, 3, 4))\n",
      "print y\n",
      "print y.shape\n",
      "\n",
      "\n",
      "# The transpose attribute\n",
      "x = np.array([[1, 2],\n",
      "              [3, 4],\n",
      "              [5, 6]]) \n",
      "print x\n",
      "print x.T"
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     "input": [
      "import numpy as np\n",
      "\n",
      "x = np.array([[1,2,3,4],\n",
      "              [2,3,4,5],\n",
      "              [6,7,8,9],\n",
      "              [8,7,6,5]])\n",
      "# the 'diagonal' method\n",
      "a = x.diagonal()\n",
      "print a\n",
      "\n",
      "b = x.diagonal(offset=1)\n",
      "print b\n",
      "\n",
      "c = x.diagonal(offset=-1)\n",
      "print c\n",
      "\n",
      "# The 'reshape' method\n",
      "import numpy as np\n",
      "a = np.array(range(9))\n",
      "print 'a', a\n",
      "b = a.reshape(3,3)\n",
      "print 'b', b"
     ],
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     "input": [
      "# Array calculations, quite self explanatory\n",
      "import numpy as np\n",
      "\n",
      "a = np.array(range(4)).reshape(2,2)\n",
      "\n",
      "print np.cumsum(a)\n",
      "print np.cumsum(a, axis=0)\n",
      "print np.cumprod(a)\n",
      "print np.max(a)\n",
      "print np.min(a)\n",
      "print np.sum(a)\n",
      "print np.prod(a)\n",
      "print np.mean(a)\n",
      "print np.var(a)\n",
      "print np.std(a)\n",
      "print np.trace(a)"
     ],
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