Copy_of_Exercise1.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_sfWZU_eST2O"
      },
      "source": [
        "**NOTE: ALL THE COMMANDS FOR PLOTTING A FIGURE SHOULD ALL GO IN THE SAME CELL. SEPARATING THEM OUT INTO MULTIPLE CELLS MAY CAUSE NOTHING TO SHOW UP.**\n",
        "\n",
        "# Exercises\n",
        "\n",
        "Follow the instructions to recreate the plots using this data:\n",
        "\n",
        "## Data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "l0eZ10dLST2X"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "x = np.arange(0,100)\n",
        "y = x*2\n",
        "z = x**2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "veY4-lsGST2c"
      },
      "source": [
        "**Import matplotlib.pyplot as plt and set %matplotlib inline if you are using the jupyter notebook. What command do you use if you aren't using the jupyter notebook?**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "tAOmEcNKST2e"
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5j_39gsVST2f"
      },
      "source": [
        "## Exercise 1\n",
        "\n",
        "**Follow along with these steps**\n",
        "* Create a figure object called fig using plt.figure()\n",
        "* Use add_axes to add an axis to the figure canvas at [0,0,1,1]. Call this new axis ax.\n",
        "* Plot (x,y) on that axes and set the labels and titles to match the plot below:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "03Ts4r5SST2g",
        "outputId": "b4e74dc9-9004-4df6-916a-cf2bd4dcb6dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'title')"
            ]
          },
          "metadata": {},
          "execution_count": 3
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.plot(x,y)\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('y')\n",
        "plt.title('title')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I8mFrIGwST2i"
      },
      "source": [
        "## Exercise 2\n",
        "**Create a figure object and put two axes on it, ax1 and ax2. Located at [0,0,1,1] and [0.2,0.5,.2,.2] respectively.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "D4nUfU26ST2k",
        "outputId": "be071e79-3cf9-465c-a508-afa44a62d13c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure()\n",
        "ax1 = plt.axes([0,0,1,1])\n",
        "ax2 = plt.axes([0.2,0.5,.2,.2])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SK8p_A2NST2l"
      },
      "source": [
        "**Now plot (x,y) on both axes. And call your figure object to show it.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "m_2gVMryST2m",
        "outputId": "1494642c-afad-4df4-fec5-a3653a49fec5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.plot(x,y)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hYaQZfbFST2n"
      },
      "source": [
        "## Exercise 3\n",
        "\n",
        "**Create the plot below by adding two axes to a figure object at [0,0,1,1] and [0.2,0.5,.4,.4]**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "BuiYx0xbST2o",
        "outputId": "d8630541-f2bd-415e-8602-658b3cc85661",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure()\n",
        "ax1 = plt.axes([0,0,1,1])\n",
        "ax2 = plt.axes([0.2,0.5,.4,.4])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SeRSiZDGST2o"
      },
      "source": [
        "**Now use x,y, and z arrays to recreate the plot below. Notice the xlimits and y limits on the inserted plot:**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "jhy7t5AKST2p",
        "outputId": "7e5f4d23-ca13-4991-f333-72a6a7393479",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(40.0, 45.0)"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure()\n",
        "plt.title('s=zoom')\n",
        "plt.plot(x,y)\n",
        "plt.xlabel('x')\n",
        "plt.ylabel('y')\n",
        "plt.xlim(20,22)\n",
        "plt.ylim(40,45)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TM6XOILJST2q"
      },
      "source": [
        "## Exercise 4\n",
        "\n",
        "**Use plt.subplots(nrows=1, ncols=2) to create the plot below.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "osk0Jco2ST2r",
        "outputId": "7ed20352-0452-44eb-da88-94f832f60e18",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.subplot(1,2,1)\n",
        "plt.subplot(1,2,2)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QWwItNZVST2r"
      },
      "source": [
        "**Now plot (x,y) and (x,z) on the axes. Play around with the linewidth and style**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "ZoEMYyLOST2r",
        "outputId": "67cf588e-9ea4-45d3-ac39-3a4af6a85b58",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f7c1a7d2350>]"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.subplot(1,2,1)\n",
        "plt.plot(x,y,ls=':', c='b')\n",
        "plt.subplot(1,2,2)\n",
        "plt.plot(x,z, c='r')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hV08IzIvST2s"
      },
      "source": [
        "**See if you can resize the plot by adding the figsize() argument in plt.subplots() are copying and pasting your previous code.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "0pq5vAFZST2s",
        "outputId": "04a2880c-6af4-4bc3-fd6f-ed6172392243",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f7c05546980>]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.subplot(1,2,1)\n",
        "plt.plot(x,y,ls=':', c='b', lw='3')\n",
        "plt.subplot(1,2,2)\n",
        "plt.plot(x,z, c='r',lw='2')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-ONbbrWEST2t"
      },
      "source": [
        "# Great Job!"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "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": "3.9.12"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}