matplotlib_exercise.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "matplotlib_exercise.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyM+SFWwfEHFlpDibFHVIHjg",
      "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/subhamghimire/Machine-Learning/blob/master/matplotlib_exercise.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z8E9GesYM2AB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Kbv_C5lLNB2J",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "x = np.arange(0,100)\n",
        "y = x*2\n",
        "z = x**2"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yqnwO9uwWV-m",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 383
        },
        "outputId": "954c5634-7825-4f0c-9a41-6ede174ec3c9"
      },
      "source": [
        "fig = plt.figure()\n",
        "ax = fig.add_axes([0,0,1,1])\n",
        "ax.plot(x,y)\n",
        "ax.set_title('title')\n",
        "ax.set_xlabel('X')\n",
        "ax.set_ylabel('Y')"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Y')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6w8FD4atW67e",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 367
        },
        "outputId": "8ff77433-8cb7-454c-8e42-936fa4992b3d"
      },
      "source": [
        "fig = plt.figure()\n",
        "ax1 = fig.add_axes([0,0,1,1])\n",
        "ax2 = fig.add_axes([0.2,0.5,.2,.2])\n",
        "ax1.plot(x,y)\n",
        "ax1.set_xlabel('x')\n",
        "ax1.set_ylabel('y')\n",
        "\n",
        "ax2.plot(x,y,'r')\n",
        "ax2.set_xlabel('x')\n",
        "ax2.set_ylabel('y')"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'y')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jn-PZc-lXWu4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 367
        },
        "outputId": "e43fbffc-f6f9-4404-e7b6-f9f64db2d75d"
      },
      "source": [
        "fig = plt.figure()\n",
        "\n",
        "ax1 = fig.add_axes([0,0,1,1])\n",
        "ax1.plot(x,z)\n",
        "ax1.set_xlabel('X')\n",
        "ax.set_ylabel('Z')\n",
        "\n",
        "ax2 = fig.add_axes([0.2,0.5,.4,.4])\n",
        "ax2.set_xlim(20,22)\n",
        "ax2.set_ylim(30,50)\n",
        "ax2.plot(x,y)\n",
        "ax2.set_xlabel('X')\n",
        "ax2.set_ylabel('Y')\n",
        "ax2.set_title('zoom')\n"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'zoom')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a6FwlmlNYNnu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "outputId": "e1545cfa-de50-40be-ed90-65b25a56e7a0"
      },
      "source": [
        "fig,axes = plt.subplots(1,2) #nrows=1,ncols=2"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IKTmgw7YZFUJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "4fc0f749-7ddf-41f7-b3cd-4186db8a2d42"
      },
      "source": [
        "axes[0].plot(x,y,color=\"blue\", lw=3, ls='--')\n",
        "axes[1].plot(x,z,color=\"red\", lw=3, ls='-')\n",
        "plt.tight_layout()\n",
        "fig"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jWUwii09ZPw2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 172
        },
        "outputId": "adea125c-7c76-472f-a81a-afdebb26894c"
      },
      "source": [
        "fig, axes = plt.subplots(nrows=1, ncols=2,figsize=(12,2))\n",
        "axes[0].plot(x,y,color=\"blue\", lw=3)\n",
        "axes[0].set_xlabel('x')\n",
        "axes[0].set_ylabel('y')\n",
        "\n",
        "axes[1].plot(x,z,color=\"red\", lw=3, ls='--')\n",
        "axes[1].set_xlabel('x')\n",
        "axes[1].set_ylabel('z')"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'z')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 864x144 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AX5zwMt1ZvNg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}