Matplotlib_Data_Explore.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Matplotlib_Data_Explore.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOjIKABmlRiUdsaxcMsCKaD",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/prasunpankaj/100-plus-Python-programming-exercises-extended/blob/master/Matplotlib_Data_Explore.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GQpXn2dzAHPt"
      },
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SoBhRg4pBQZI"
      },
      "source": [
        "%matplotlib inline"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wTrWXLDEBYy4"
      },
      "source": [
        "x = [-3,5,7]\n",
        "y = [10,2,5]"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 228
        },
        "id": "dsCzhBcrBdR6",
        "outputId": "3dfb0cba-b2c4-4e5b-ed36-1b97b60f2c94"
      },
      "source": [
        "fig = plt.figure(figsize=(15,3))\n",
        "plt.plot(x,y)"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7efe98764f60>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x216 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}