numpy_matrix.ipynb

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  "metadata": {
    "colab": {
      "name": "numpy_matrix.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bGo_a_NqcAgo",
        "outputId": "36750db6-30f4-4b49-a9a6-466b96ff1a6a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0. 0. 0.]\n",
            " [0. 0. 0.]\n",
            " [0. 0. 0.]]\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "x=np.zeros((3,3))\n",
        "print(x)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y=np.ones((5,5))\n",
        "print(y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v9SeOIeTcTP3",
        "outputId": "06462f75-9de6-4989-f936-dfb0a5c2eea9"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1. 1. 1. 1. 1.]\n",
            " [1. 1. 1. 1. 1.]\n",
            " [1. 1. 1. 1. 1.]\n",
            " [1. 1. 1. 1. 1.]\n",
            " [1. 1. 1. 1. 1.]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z=np.full((5,4),5)  #other than one and zero we need to use full\n",
        "print(z)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_avity-ldBDw",
        "outputId": "e504b09c-9627-4614-d813-df4af9a1cbab"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[5 5 5 5]\n",
            " [5 5 5 5]\n",
            " [5 5 5 5]\n",
            " [5 5 5 5]\n",
            " [5 5 5 5]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#identity matrix\n",
        "a=np.eye(5)\n",
        "print(a)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pbMYlhF7caiV",
        "outputId": "bbca5944-80c5-486a-b69b-c8887dd20e85"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1. 0. 0. 0. 0.]\n",
            " [0. 1. 0. 0. 0.]\n",
            " [0. 0. 1. 0. 0.]\n",
            " [0. 0. 0. 1. 0.]\n",
            " [0. 0. 0. 0. 1.]]\n"
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}