6.12 File Input and Output with 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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   "source": [
    "## 6.12 File Input and Output with 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": [
    "Lets now create a numpy array using the function **np.arange()**:"
   ]
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   "execution_count": 2,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
      ]
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     "execution_count": 2,
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   "source": [
    "array1 = np.arange(10)\n",
    "array1"
   ]
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   "source": [
    "We can save this array using the function **np.save()**:"
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   "source": [
    "np.save('my_array', array1)"
   ]
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   "source": [
    "We can load the saved array using the function **np.load()**:"
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     "data": {
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       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
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     "execution_count": 4,
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    "np.load('my_array.npy')"
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   "source": [
    "We can assign a new variable for the loaded array like this:"
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    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
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     "execution_count": 5,
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   "source": [
    "array2 = np.load('my_array.npy')\n",
    "array2"
   ]
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   "source": [
    "We can save multiple arrays using the function **np.savez()**:"
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   "source": [
    "np.savez('multiple_arrays.npz', a1 =array1, a2 = array2)"
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   "source": [
    "The multi-array file can be loaded normally using the function **np.load()**:"
   ]
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   "cell_type": "code",
   "execution_count": 7,
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    "hide_input": false
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   "source": [
    "arrays = np.load('multiple_arrays.npz')"
   ]
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   "source": [
    "We use the keys ( a1, a2 ) to access the loaded arrays:"
   ]
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   "execution_count": 8,
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    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
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     "execution_count": 8,
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   "source": [
    "arrays['a1']"
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       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
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    "arrays['a2']"
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   "source": [
    "***\n",
    "\n",
    "<h1 align=\"center\">Thank You</h1> \n",
    "\n",
    "***"
   ]
  }
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