87 lines
2.6 KiB
Plaintext
87 lines
2.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "fcb09a3f-8f09-442f-9dc0-05087980216c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Матрица 2x3:\n",
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" [[1 2 3]\n",
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" [4 5 6]]\n",
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"Форма (shape): (2, 3)\n",
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"------------------------------\n",
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"Равномерная шкала (linspace):\n",
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" [0. 0.55555556 1.11111111 1.66666667 2.22222222 2.77777778\n",
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" 3.33333333 3.88888889 4.44444444 5. ]\n",
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"------------------------------\n",
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"Случайная матрица 2x2:\n",
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" [[-0.95758367 0.58589362]\n",
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" [-0.25530405 1.71658099]]\n",
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"------------------------------\n",
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"Результат матричного умножения A и B:\n",
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" [[19 22]\n",
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" [43 50]]\n",
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"------------------------------\n",
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"Сумма по столбцам матрицы: [5 7 9]\n",
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"Среднее по строкам матрицы: [2. 5.]\n"
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]
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}
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],
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"source": [
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"import numpy as np\n",
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"matrix = np.array([[1, 2, 3], [4, 5, 6]])\n",
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"print(\"Матрица 2x3:\\n\", matrix)\n",
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"print(\"Форма (shape):\", matrix.shape)\n",
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"print(\"-\" * 30)\n",
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"linear_space = np.linspace(0, 5, 10)\n",
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"print(\"Равномерная шкала (linspace):\\n\", linear_space)\n",
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"print(\"-\" * 30)\n",
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"random_matrix = np.random.randn(2, 2)\n",
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"print(\"Случайная матрица 2x2:\\n\", random_matrix)\n",
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"print(\"-\" * 30)\n",
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"A = np.array([[1, 2], [3, 4]])\n",
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"B = np.array([[5, 6], [7, 8]])\n",
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"dot_product = np.dot(A, B)\n",
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"print(\"Результат матричного умножения A и B:\\n\", dot_product)\n",
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"print(\"-\" * 30)\n",
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"print(\"Сумма по столбцам матрицы:\", matrix.sum(axis=0))\n",
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"print(\"Среднее по строкам матрицы:\", matrix.mean(axis=1))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1d0670c4-4ce2-4024-b803-456646dbb94f",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.14.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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