задание урока 1

lesson01_NumPy01.ipynb

@@ -0,0 +1,125 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "14f56e8d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Исходный массив :\n",
+      "[[ 1  2  3  3  1]\n",
+      " [ 6  8 11 10  7]]\n",
+      "Усредненный массив :\n",
+      "[2.  8.4]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "a = np.array([\n",
+    "                [1, 2, 3, 3, 1],\n",
+    "                [6, 8, 11, 10, 7]\n",
+    "             ])\n",
+    "\n",
+    "print(\"Исходный массив :\")\n",
+    "print(a)\n",
+    "\n",
+    "mean_a = a.mean(axis=1)\n",
+    "print(\"Усредненный массив :\")\n",
+    "print(mean_a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "4744d693",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Центрированный массив:\n",
+      "[[-1.  -2.4]\n",
+      " [ 0.  -0.4]\n",
+      " [ 1.   2.6]\n",
+      " [ 1.   1.6]\n",
+      " [-1.  -1.4]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "np.shape(a)\n",
+    "np.shape(mean_a)\n",
+    "a_centered = np.array(a.T - mean_a)\n",
+    "print(\"Центрированный массив:\")\n",
+    "print(a_centered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "0736a48d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(5, 2)\n",
+      "[[-1.]\n",
+      " [ 0.]\n",
+      " [ 1.]\n",
+      " [ 1.]\n",
+      " [-1.]]\n",
+      "[[-2.4]\n",
+      " [-0.4]\n",
+      " [ 2.6]\n",
+      " [ 1.6]\n",
+      " [-1.4]]\n",
+      "скалярное произведение столбцов:\n",
+      "8.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(np.shape(a_centered))\n",
+    "\n",
+    "a1 = np.array(a_centered[0:, 0:1])\n",
+    "print(a1)\n",
+    "\n",
+    "a2 = np.array(a_centered[0:, 1:2])\n",
+    "print(a2)\n",
+    "\n",
+    "a_centered_sp = np.dot(a1.flatten(), a2.flatten())\n",
+    "print(\"скалярное произведение столбцов:\")\n",
+    "print(a_centered_sp)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}