6.9 Transposing Arrays.ipynb

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    "![title](img/cover4.png)"
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   "source": [
    "<center><em>Copyright! This material is protected, please do not copy or distribute.    by:Taher Assaf</em></center>"
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   "source": [
    "***\n",
    "<h1 align=\"center\">Udemy course : Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn</h1> \n",
    "\n",
    "***"
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  },
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   "source": [
    "## 6.9 Transposing Arrays"
   ]
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   "source": [
    "First we import numpy library:"
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   "source": [
    "import numpy as np"
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   "source": [
    "Here we creat a two-dimensional numpy array:"
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     "data": {
      "text/plain": [
       "array([[14,  6, 17,  2],\n",
       "       [13,  9, 17, 16],\n",
       "       [15,  9,  6,  5]])"
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     "execution_count": 2,
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   "source": [
    "array1  = np.random.randint(20, size= (3,4))\n",
    "array1"
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   "source": [
    "We can transpose the array using the function transpose():"
   ]
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       "array([[14, 13, 15],\n",
       "       [ 6,  9,  9],\n",
       "       [17, 17,  6],\n",
       "       [ 2, 16,  5]])"
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    "array1.transpose()"
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   "source": [
    "We can also transpose the array using the attribute .T:"
   ]
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     "data": {
      "text/plain": [
       "array([[14, 13, 15],\n",
       "       [ 6,  9,  9],\n",
       "       [17, 17,  6],\n",
       "       [ 2, 16,  5]])"
      ]
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     "execution_count": 4,
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   "source": [
    "array1.T"
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   "source": [
    "Lets create a one-dimensional array:"
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   "execution_count": 5,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5, 6])"
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     "execution_count": 5,
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   "source": [
    "array2 = np.array([1,2,3,4,5,6])\n",
    "array2"
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   "source": [
    "If we try to transpose a one dimensional array, it will be the same:"
   ]
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   "execution_count": 6,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5, 6])"
      ]
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     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "array2.T"
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   "source": [
    "***\n",
    "\n",
    "<h1 align=\"center\">Thank You</h1> \n",
    "\n",
    "***"
   ]
  }
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