lib.ipynb

{
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  {
   "cell_type": "code",
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   "source": [
    "import numpy as np\r\n",
    "a = np.array([1,2,3])\r\n",
    "print(a)\r\n",
    "print()\r\n",
    "b = np.array([(1.5,2,3.3), (4,5,6)], dtype = float)\r\n",
    "print(b)\r\n",
    "print(b.ndim)\r\n",
    "print(b.size)\r\n",
    "print(b.dtype)\r\n",
    "print(b.dtype.name)\r\n",
    "tc=b.astype(int)\r\n",
    "print(tc)\r\n",
    "print(tc.dtype)\r\n",
    "print()\r\n",
    "c = np.array([(1.5,2,3), (4,5,6),(3,2,1), (4,5,6)], dtype = float)\r\n",
    "c.shape\r\n",
    "l=len(c)\r\n",
    "print(c)\r\n",
    "print(l)\r\n",
    "print()\r\n",
    "z=np.zeros((4,4))\r\n",
    "print(z)\r\n",
    "print()\r\n",
    "o=np.ones((2,4),dtype=np.int16)\r\n",
    "print(o)\r\n",
    "print()\r\n",
    "e = np.full((2,2),18)\r\n",
    "print(e)\r\n",
    "print()\r\n",
    "f = np.eye(4)\r\n",
    "print(f)\r\n",
    "print()\r\n",
    "r=np.random.random((2,2))\r\n",
    "print(r)\r\n",
    "print()\r\n",
    "e=np.empty((3,2))\r\n",
    "print(e) \r\n",
    "print() \r\n",
    "np.info(np.ndarray.dtype)\r\n",
    "# np.int64 \r\n",
    "# np.float32 \r\n",
    "# np.complex \r\n",
    "# np.bool \r\n",
    "# np.object \r\n",
    "# np.string_ \r\n",
    "# np.unicode_\r\n",
    "np.subtract(a,b)\r\n",
    "np.add(a,b)\r\n",
    "np.multiply(a,b)\r\n",
    "np.divide(a,b)\r\n",
    "np.exp(a)\r\n",
    "np.sqrt(a)\r\n",
    "np.sin(a)\r\n",
    "np.cos(a)\r\n",
    "np.log(a)\r\n",
    "a.dot(a)\r\n",
    "k=(a<=2)\r\n",
    "print(k)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[1 2 3]\n",
      "\n",
      "[[1.5 2.  3.3]\n",
      " [4.  5.  6. ]]\n",
      "2\n",
      "6\n",
      "float64\n",
      "float64\n",
      "[[1 2 3]\n",
      " [4 5 6]]\n",
      "int32\n",
      "\n",
      "[[1.5 2.  3. ]\n",
      " [4.  5.  6. ]\n",
      " [3.  2.  1. ]\n",
      " [4.  5.  6. ]]\n",
      "4\n",
      "\n",
      "[[0. 0. 0. 0.]\n",
      " [0. 0. 0. 0.]\n",
      " [0. 0. 0. 0.]\n",
      " [0. 0. 0. 0.]]\n",
      "\n",
      "[[1 1 1 1]\n",
      " [1 1 1 1]]\n",
      "\n",
      "[[18 18]\n",
      " [18 18]]\n",
      "\n",
      "[[1. 0. 0. 0.]\n",
      " [0. 1. 0. 0.]\n",
      " [0. 0. 1. 0.]\n",
      " [0. 0. 0. 1.]]\n",
      "\n",
      "[[0.32958787 0.65753114]\n",
      " [0.3679388  0.34957615]]\n",
      "\n",
      "[[1.5 2. ]\n",
      " [3.3 4. ]\n",
      " [5.  6. ]]\n",
      "\n",
      "Data-type of the array's elements.\n",
      "\n",
      "Parameters\n",
      "----------\n",
      "None\n",
      "\n",
      "Returns\n",
      "-------\n",
      "d : numpy dtype object\n",
      "\n",
      "See Also\n",
      "--------\n",
      "numpy.dtype\n",
      "\n",
      "Examples\n",
      "--------\n",
      ">>> x\n",
      "array([[0, 1],\n",
      "       [2, 3]])\n",
      ">>> x.dtype\n",
      "dtype('int32')\n",
      ">>> type(x.dtype)\n",
      "<type 'numpy.dtype'>\n",
      "[ True  True False]\n"
     ]
    }
   ],
   "metadata": {}
  }
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