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   "source": [
    "## Function to compute the range of a list of values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def my_list_range(values):\n",
    "    \"\"\"\n",
    "    Compute the range of a list of values.\n",
    "    @param values the list of values.\n",
    "    @return the range\n",
    "    \"\"\"\n",
    "    \n",
    "    return max(values) - min(values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "x_list  = [int(random.uniform(0, 25)) for _ in range(0, 100)]\n",
    "x_range = my_list_range(x_list)\n",
    "\n",
    "print(f'min(x_list)           = {min(x_list)}')\n",
    "print(f'max(x_list)           = {max(x_list)}')\n",
    "print(f'my_list_range(x_list) = {x_range}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Function to compute the range of a list or an array of values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def my_array_range(values):\n",
    "    \"\"\"\n",
    "    Compute the range of a list or array of values.\n",
    "    @param values the list or array of values.\n",
    "    @return the range\n",
    "    \"\"\"\n",
    "\n",
    "    return np.amax(values) - np.amin(values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np_list_range = my_array_range(x_list)\n",
    "\n",
    "print(f'np.amin(x_list)        = {np.amin(x_list)}')\n",
    "print(f'np.amax(x_list)        = {np.amax(x_list)}')\n",
    "print(f'my_array_range(x_list) = {np_list_range}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_array = np.array(x_list)\n",
    "np_array_range = my_array_range(x_array)\n",
    "\n",
    "print(f'np.amin(x_array)        = {np.amin(x_array)}')\n",
    "print(f'np.amax(x_array)        = {np.amax(x_array)}')\n",
    "print(f'my_array_range(x_array) = {np_array_range}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2-d array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "matrix = np.array([[2, 5, 6, 3],\n",
    "                   [1, 7, 0, 4],\n",
    "                   [3, 1, 2, 6]])\n",
    "\n",
    "min_of_all  = np.amin(matrix)\n",
    "min_of_cols = np.amin(matrix, axis=0)\n",
    "max_of_rows = np.amax(matrix, axis=1)\n",
    "\n",
    "print(f'np.amin(matrix [all]           = {min_of_all}')\n",
    "print(f'np.amin(matrix, axis=0) [cols] = {min_of_cols}')\n",
    "print(f'np.amax(matrix, axis=1) [rows] = {max_of_rows}')"
   ]
  }
 ],
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