ISS.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "ISS.ipynb",
      "provenance": [],
      "mount_file_id": "1cRHOX9DNfYgY8NkaX8Cl_7Ix1z1jV_nN",
      "authorship_tag": "ABX9TyMEYq2xpNoiD2f08V5n7922",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/SansBasnet/Python_projects_and_more/blob/master/ISS.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import Image"
      ],
      "metadata": {
        "id": "BFpTMggVOtoq"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "r = requests.get(url='http://api.open-notify.org/astros.json')\n",
        "r.json()\n",
        "    "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dNLfm7tcOt-D",
        "outputId": "cb04ef7d-bd38-40b2-eb0e-719b1890d18b"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'message': 'success',\n",
              " 'number': 10,\n",
              " 'people': [{'craft': 'ISS', 'name': 'Mark Vande Hei'},\n",
              "  {'craft': 'ISS', 'name': 'Pyotr Dubrov'},\n",
              "  {'craft': 'ISS', 'name': 'Anton Shkaplerov'},\n",
              "  {'craft': 'Shenzhou 13', 'name': 'Zhai Zhigang'},\n",
              "  {'craft': 'Shenzhou 13', 'name': 'Wang Yaping'},\n",
              "  {'craft': 'Shenzhou 13', 'name': 'Ye Guangfu'},\n",
              "  {'craft': 'ISS', 'name': 'Raja Chari'},\n",
              "  {'craft': 'ISS', 'name': 'Tom Marshburn'},\n",
              "  {'craft': 'ISS', 'name': 'Kayla Barron'},\n",
              "  {'craft': 'ISS', 'name': 'Matthias Maurer'}]}"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# take a lat lon and return a pixel coordinate \n",
        "# http://www.satsig.net/lat_long.htm\n",
        "def translate_geo_to_pixels(longitude, latitude, max_x_px, max_y_px):\n",
        "    # y = -90 to 90\n",
        "    # x = -180 to 180\n",
        "    scale_x = (((longitude + 180) / 360) * max_x_px)\n",
        "    scale_y = (((latitude - 90) / 180) * max_y_px)\n",
        "    \n",
        "    return scale_x, scale_y\n",
        "    \n",
        "    \n",
        "translate_geo_to_pixels(20,90, 500, 250)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8tu9Xo_QO0Ar",
        "outputId": "f9220c7a-e024-4bee-ec9e-55d0f9ccd736"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(277.77777777777777, 0.0)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# get international space station geo location\n",
        "# http://open-notify.org/Open-Notify-API/ISS-Location-Now/\n",
        "\n",
        "def get_space_station_location():\n",
        "    r = requests.get(url='http://api.open-notify.org/iss-now.json')\n",
        "    space_station_location = (r.json())\n",
        "\n",
        "\n",
        "    space_station_longitude = float(space_station_location['iss_position']['longitude'])\n",
        "    print('space_station_longitude', space_station_longitude)\n",
        "    space_station_latitude = float(space_station_location['iss_position']['latitude'])\n",
        "    print('space_station_latitude', space_station_latitude)\n",
        "    \n",
        "    return (space_station_longitude, space_station_latitude)"
      ],
      "metadata": {
        "id": "P-cozsSxO3VS"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install Basemap"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 593
        },
        "id": "G42d6UpBO_aq",
        "outputId": "724ab2f2-0f9b-4fba-8e93-03b62f80bd81"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting Basemap\n",
            "  Downloading basemap-1.3.0-cp37-cp37m-manylinux1_x86_64.whl (858 kB)\n",
            "\u001b[K     |████████████████████████████████| 858 kB 5.2 MB/s \n",
            "\u001b[?25hCollecting basemap-data<1.4,>=1.3\n",
            "  Downloading basemap_data-1.3.0-py2.py3-none-any.whl (30.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 30.5 MB 66.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: matplotlib<3.5,>=1.5 in /usr/local/lib/python3.7/dist-packages (from Basemap) (3.2.2)\n",
            "Collecting pyproj<3.4.0,>=1.9.3\n",
            "  Downloading pyproj-3.2.1-cp37-cp37m-manylinux2010_x86_64.whl (6.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 6.3 MB 33.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: six<1.16,>=1.10 in /usr/local/lib/python3.7/dist-packages (from Basemap) (1.15.0)\n",
            "Requirement already satisfied: numpy<1.22,>=1.16 in /usr/local/lib/python3.7/dist-packages (from Basemap) (1.19.5)\n",
            "Collecting pyshp<2.2,>=1.2\n",
            "  Downloading pyshp-2.1.3.tar.gz (219 kB)\n",
            "\u001b[K     |████████████████████████████████| 219 kB 60.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib<3.5,>=1.5->Basemap) (1.3.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib<3.5,>=1.5->Basemap) (0.11.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib<3.5,>=1.5->Basemap) (2.8.2)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib<3.5,>=1.5->Basemap) (3.0.6)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from pyproj<3.4.0,>=1.9.3->Basemap) (2021.10.8)\n",
            "Building wheels for collected packages: pyshp\n",
            "  Building wheel for pyshp (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyshp: filename=pyshp-2.1.3-py3-none-any.whl size=37324 sha256=7191edf8920c7dcc996078bb949ef28eeb5da656e8c9cb5decb911cd9098a3c2\n",
            "  Stored in directory: /root/.cache/pip/wheels/43/f8/87/53c8cd41545ba20e536ea29a8fcb5431b5f477ca50d5dffbbe\n",
            "Successfully built pyshp\n",
            "Installing collected packages: pyshp, pyproj, basemap-data, Basemap\n",
            "Successfully installed Basemap-1.3.0 basemap-data-1.3.0 pyproj-3.2.1 pyshp-2.1.3\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "mpl_toolkits"
                ]
              }
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from mpl_toolkits.basemap import Basemap\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "epxmpdj8O8ZB"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "get_space_station_location()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-78YE36GPBaI",
        "outputId": "fab47b80-0cbc-412b-d41c-27970c7dc545"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "space_station_longitude 160.4004\n",
            "space_station_latitude -51.548\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(160.4004, -51.548)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(20, 14))\n",
        "\n",
        "# Make the background map\n",
        "m=Basemap(llcrnrlon=-180, llcrnrlat=-65,urcrnrlon=180,urcrnrlat=80)\n",
        "m.drawmapboundary(fill_color='black', linewidth=0)\n",
        "m.fillcontinents(color='white', alpha=0.3)\n",
        "m.drawcoastlines(linewidth=1, color=\"black\")\n",
        "\n",
        "# Add a point per position\n",
        "\n",
        "space_station_longitude, space_station_latitude = get_space_station_location()\n",
        "m.scatter(space_station_longitude, space_station_latitude, s=200, alpha=0.9,color='red')\n",
        "\n",
        "\n",
        "#plt.title('International Space Station Geodesic' , fontsize=20)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 536
        },
        "id": "DFFHwb86PFOm",
        "outputId": "37eef60f-3c9f-4a83-ac8a-6f114e3e2d46"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "space_station_longitude 160.45\n",
            "space_station_latitude -51.5499\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f1261858d90>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1008 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Let's Build\n",
        "# ISS Icom: https://icons-for-free.com/color-space+station-131994932307187327/\n",
        "# http://www.satsig.net/lat_long.htm "
      ],
      "metadata": {
        "id": "A2auUQjvPMaa"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(space_station_longitude, space_station_latitude)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "00w2F7GXPW40",
        "outputId": "138b94e8-1ff3-4734-83c6-c310ed49de6c"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "160.45 -51.5499\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# figure out translation of space_station_longitude/space_station_latitude to screen pixels\n",
        "# imagine 0,0 to 300,100\n",
        "translate_geo_to_pixels(space_station_longitude, space_station_latitude, 300, 100)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ETWb1BlvPYNN",
        "outputId": "8dbf093e-d62a-4875-d5f6-b50a6fda1417"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(283.7083333333333, -78.63883333333334)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "w7vY1m1jPZgj"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! pip install pytrends"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0kuPlB88c0DB",
        "outputId": "846974e9-46b8-46ad-edca-9cf02b52e4aa"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pytrends\n",
            "  Downloading pytrends-4.7.3-py3-none-any.whl (14 kB)\n",
            "Requirement already satisfied: pandas>=0.25 in /usr/local/lib/python3.7/dist-packages (from pytrends) (1.1.5)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from pytrends) (2.23.0)\n",
            "Requirement already satisfied: lxml in /usr/local/lib/python3.7/dist-packages (from pytrends) (4.2.6)\n",
            "Requirement already satisfied: numpy>=1.15.4 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25->pytrends) (1.19.5)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25->pytrends) (2018.9)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25->pytrends) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.25->pytrends) (1.15.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->pytrends) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->pytrends) (2021.10.8)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->pytrends) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->pytrends) (1.24.3)\n",
            "Installing collected packages: pytrends\n",
            "Successfully installed pytrends-4.7.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from pytrends.request import TrendReq\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib\n",
        "from IPython.display import Image"
      ],
      "metadata": {
        "id": "z9fIjYB6c0As"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "r = requests.get(url='http://api.open-notify.org/astros.json')\n",
        "r.json()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cs553Mq7c0Ga",
        "outputId": "10cd2ab8-7623-48b0-9aa5-d5bd8a2f026a"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'message': 'success',\n",
              " 'number': 10,\n",
              " 'people': [{'craft': 'ISS', 'name': 'Mark Vande Hei'},\n",
              "  {'craft': 'ISS', 'name': 'Pyotr Dubrov'},\n",
              "  {'craft': 'ISS', 'name': 'Anton Shkaplerov'},\n",
              "  {'craft': 'Shenzhou 13', 'name': 'Zhai Zhigang'},\n",
              "  {'craft': 'Shenzhou 13', 'name': 'Wang Yaping'},\n",
              "  {'craft': 'Shenzhou 13', 'name': 'Ye Guangfu'},\n",
              "  {'craft': 'ISS', 'name': 'Raja Chari'},\n",
              "  {'craft': 'ISS', 'name': 'Tom Marshburn'},\n",
              "  {'craft': 'ISS', 'name': 'Kayla Barron'},\n",
              "  {'craft': 'ISS', 'name': 'Matthias Maurer'}]}"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "r = requests.get(url='http://api.open-notify.org/iss-now.json')\n",
        "space_station_location = (r.json())\n",
        "print(space_station_location)\n",
        "\n",
        "space_station_location['iss_position']['latitude']\n",
        "space_station_location['iss_position']['longitude']\n",
        "space_station_location['timestamp']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FjMC1ToPc80j",
        "outputId": "b95e96d3-9a2b-4d18-f382-1450337ed12f"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'iss_position': {'longitude': '160.8975', 'latitude': '-51.5657'}, 'timestamp': 1642546234, 'message': 'success'}\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1642546234"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(20, 14))\n",
        "\n",
        "# Make the background map\n",
        "m=Basemap(llcrnrlon=-180, llcrnrlat=-65,urcrnrlon=180,urcrnrlat=80)\n",
        "m.drawmapboundary(fill_color='black', linewidth=0)\n",
        "m.fillcontinents(color='white', alpha=0.3)\n",
        "m.drawcoastlines(linewidth=1, color=\"black\")\n",
        "\n",
        "# Add a point per position\n",
        "\n",
        "space_station_longitude, space_station_latitude = get_space_station_location()\n",
        "m.scatter(space_station_longitude, space_station_latitude, s=200, alpha=0.9,color='red')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 536
        },
        "id": "fa3X7niRc_f-",
        "outputId": "b04786d9-d2ae-45cc-9747-14724bf38cc1"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "space_station_longitude 160.9472\n",
            "space_station_latitude -51.5674\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f125f974f90>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1440x1008 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Default title text\n",
        "record_data = False\n",
        "if record_data == True:\n",
        "    import datetime\n",
        "    date_to_print = datetime.datetime.now().strftime(\"%Y%m%d%H%M%S\")\n",
        "\n",
        "    import time\n",
        "    starttime=time.time()\n",
        "\n",
        "\n",
        "    space_station_data = []\n",
        "    while True: \n",
        "        r = requests.get(url='http://api.open-notify.org/iss-now.json')\n",
        "        space_station_location = (r.json())\n",
        "        print(space_station_location)\n",
        "\n",
        "        space_station_data.append([space_station_location['timestamp'],\n",
        "                                space_station_location['iss_position']['latitude'],\n",
        "                                space_station_location['iss_position']['longitude']\n",
        "                                ])\n",
        "\n",
        "        # dump copy to file\n",
        "        tmp_space_station_data_df = pd.DataFrame(space_station_data, columns=['timestamp','latitude', 'longitude',])\n",
        "        tmp_space_station_data_df.to_csv('ISS_location_' + date_to_print + '.csv', index=None)\n",
        "        \n",
        "        # safety break\n",
        "        if len(space_station_data) > 18000:\n",
        "            break\n",
        "            \n",
        "        # let it sleep 60 seconds\n",
        "        # https://stackoverflow.com/questions/474528/what-is-the-best-way-to-repeatedly-execute-a-function-every-x-seconds-in-python\n",
        "        time.sleep(60.0 - ((time.time() - starttime) % 60.0))"
      ],
      "metadata": {
        "cellView": "code",
        "id": "VLpqReQfdBHe"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "record_data = True\n",
        "if record_data == True:\n",
        "    import datetime\n",
        "    date_to_print = datetime.datetime.now().strftime(\"%Y%m%d%H%M%S\")\n",
        "\n",
        "    import time\n",
        "    starttime=time.time()\n",
        "\n",
        "\n",
        "    space_station_data = []\n",
        "    while True: \n",
        "        r = requests.get(url='http://api.open-notify.org/iss-now.json')\n",
        "        space_station_location = (r.json())\n",
        "        print(space_station_location)\n",
        "\n",
        "        space_station_data.append([space_station_location['timestamp'],\n",
        "                                space_station_location['iss_position']['latitude'],\n",
        "                                space_station_location['iss_position']['longitude']\n",
        "                                ])\n",
        "\n",
        "        # dump copy to file\n",
        "        tmp_space_station_data_df = pd.DataFrame(space_station_data, columns=['timestamp','latitude', 'longitude',])\n",
        "        tmp_space_station_data_df.to_csv('ISS_location_' + date_to_print + '.csv', index=None)\n",
        "        \n",
        "        # safety break\n",
        "        if len(space_station_data) > 18000:\n",
        "            break\n",
        "            \n",
        "        # let it sleep 60 seconds\n",
        "        # https://stackoverflow.com/questions/474528/what-is-the-best-way-to-repeatedly-execute-a-function-every-x-seconds-in-python\n",
        "        time.sleep(60.0 - ((time.time() - starttime) % 60.0))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "dkAgyyT-G16o",
        "outputId": "b5958787-608d-422e-ddd1-2f900afbb91c"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "{'iss_position': {'longitude': '170.2560', 'latitude': '-51.4730'}, 'timestamp': 1642546328, 'message': 'success'}\n",
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            "{'iss_position': {'longitude': '-162.5563', 'latitude': '-46.1605'}, 'timestamp': 1642546628, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-157.9523', 'latitude': '-44.3364'}, 'timestamp': 1642546688, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-153.6557', 'latitude': '-42.3190'}, 'timestamp': 1642546748, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-149.6840', 'latitude': '-40.1512'}, 'timestamp': 1642546808, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-145.9515', 'latitude': '-37.8194'}, 'timestamp': 1642546868, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-142.4688', 'latitude': '-35.3611'}, 'timestamp': 1642546928, 'message': 'success'}\n",
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            "{'iss_position': {'longitude': '-23.9251', 'latitude': '51.5738'}, 'timestamp': 1642549088, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-17.9648', 'latitude': '51.2224'}, 'timestamp': 1642549148, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-12.1416', 'latitude': '50.5483'}, 'timestamp': 1642549208, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-6.5279', 'latitude': '49.5680'}, 'timestamp': 1642549268, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '-1.2219', 'latitude': '48.3157'}, 'timestamp': 1642549328, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '3.8322', 'latitude': '46.7957'}, 'timestamp': 1642549388, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '8.5727', 'latitude': '45.0446'}, 'timestamp': 1642549448, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '12.9997', 'latitude': '43.0894'}, 'timestamp': 1642549508, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '17.1238', 'latitude': '40.9558'}, 'timestamp': 1642549568, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '20.9327', 'latitude': '38.6871'}, 'timestamp': 1642549628, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '24.5132', 'latitude': '36.2666'}, 'timestamp': 1642549688, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '27.8573', 'latitude': '33.7316'}, 'timestamp': 1642549748, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '30.9905', 'latitude': '31.0985'}, 'timestamp': 1642549808, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '33.9137', 'latitude': '28.4051'}, 'timestamp': 1642549868, 'message': 'success'}\n",
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            "{'iss_position': {'longitude': '41.9115', 'latitude': '19.8285'}, 'timestamp': 1642550049, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '44.2948', 'latitude': '16.9402'}, 'timestamp': 1642550108, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '46.6166', 'latitude': '13.9951'}, 'timestamp': 1642550168, 'message': 'success'}\n",
            "{'iss_position': {'longitude': '48.8912', 'latitude': '10.9991'}, 'timestamp': 1642550228, 'message': 'success'}\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-21-534d3e799877>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     29\u001b[0m         \u001b[0;31m# let it sleep 60 seconds\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m         \u001b[0;31m# https://stackoverflow.com/questions/474528/what-is-the-best-way-to-repeatedly-execute-a-function-every-x-seconds-in-python\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m         \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m60.0\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mstarttime\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;36m60.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# load historical data\n",
        "iss_flight_record = pd.read_csv('ISS_location_20220118225108.csv')\n",
        "# translate timestamp into readable\n",
        "from datetime import datetime\n",
        "date_time = [datetime.fromtimestamp(dt) for dt in iss_flight_record['timestamp']] \n",
        "\n",
        "# add teh date_time to a new column in our data frame iss_flight_record\n",
        "iss_flight_record['date'] = date_time\n",
        "\n",
        "# add an plot size from oldest to newest\n",
        "iss_flight_record['index'] = range(1,len(iss_flight_record)+1)\n",
        " \n",
        "iss_flight_record.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "tsyrSUocdGw6",
        "outputId": "5af2cc75-a500-4323-feb9-b48b040d566e"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
              "  <div id=\"df-c8a11a31-1b0c-4428-8c0e-1762e394913a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>timestamp</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>date</th>\n",
              "      <th>index</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>1642546268</td>\n",
              "      <td>-51.6257</td>\n",
              "      <td>164.2849</td>\n",
              "      <td>2022-01-18 22:51:08</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1642546328</td>\n",
              "      <td>-51.4730</td>\n",
              "      <td>170.2560</td>\n",
              "      <td>2022-01-18 22:52:08</td>\n",
              "      <td>2</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>-50.9942</td>\n",
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              "      <td>2022-01-18 22:53:08</td>\n",
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              "      <td>-49.1232</td>\n",
              "      <td>-172.6894</td>\n",
              "      <td>2022-01-18 22:55:08</td>\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "          document.querySelector('#df-c8a11a31-1b0c-4428-8c0e-1762e394913a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c8a11a31-1b0c-4428-8c0e-1762e394913a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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            ],
            "text/plain": [
              "    timestamp  latitude  longitude                date  index\n",
              "0  1642546268  -51.6257   164.2849 2022-01-18 22:51:08      1\n",
              "1  1642546328  -51.4730   170.2560 2022-01-18 22:52:08      2\n",
              "2  1642546388  -50.9942   176.1424 2022-01-18 22:53:08      3\n",
              "3  1642546448  -50.2014  -178.1367 2022-01-18 22:54:08      4\n",
              "4  1642546508  -49.1232  -172.6894 2022-01-18 22:55:08      5"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from mpl_toolkits.basemap import Basemap\n",
        "\n",
        "plt.figure(figsize=(20, 14))\n",
        "\n",
        "# Make the background map\n",
        "m=Basemap(llcrnrlon=-180, llcrnrlat=-65,urcrnrlon=180,urcrnrlat=80)\n",
        "m.drawmapboundary(fill_color='black', linewidth=0)\n",
        "m.fillcontinents(color='white', alpha=0.3)\n",
        "m.drawcoastlines(linewidth=0.1, color=\"black\")\n",
        "\n",
        " \n",
        " \n",
        "m.scatter(iss_flight_record['longitude'], \n",
        "          iss_flight_record['latitude'], \n",
        "          s=iss_flight_record['index'] , alpha=1.0,color='blue')\n"
      ],
      "metadata": {
        "id": "mn4QfvUfdIZ6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "outputId": "5cc45a69-9e03-498c-d2e8-19e5c1f58770"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f125fae6490>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1440x1008 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Model the ISS Data"
      ],
      "metadata": {
        "id": "Sv4gQnJOfiVj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# each dot represents one minute - can we predict where it will be in the next 10 minutes?\n",
        "tmp_df = iss_flight_record.tail(10)\n",
        "tmp_df"
      ],
      "metadata": {
        "id": "S52gOqiBekg9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "outputId": "54cbed3f-b8d2-44eb-b109-d83b931aab07"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-5341dde9-d2ab-4200-abea-03837ebec469\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>timestamp</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>date</th>\n",
              "      <th>index</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1642526528</td>\n",
              "      <td>49.1112</td>\n",
              "      <td>44.2557</td>\n",
              "      <td>2022-01-18 17:22:08</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1642526588</td>\n",
              "      <td>50.2043</td>\n",
              "      <td>49.7751</td>\n",
              "      <td>2022-01-18 17:23:08</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1642526648</td>\n",
              "      <td>50.9990</td>\n",
              "      <td>55.5271</td>\n",
              "      <td>2022-01-18 17:24:08</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1642526708</td>\n",
              "      <td>51.4739</td>\n",
              "      <td>61.3955</td>\n",
              "      <td>2022-01-18 17:25:08</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1642526768</td>\n",
              "      <td>51.6247</td>\n",
              "      <td>67.3980</td>\n",
              "      <td>2022-01-18 17:26:08</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1642526828</td>\n",
              "      <td>51.4423</td>\n",
              "      <td>73.3958</td>\n",
              "      <td>2022-01-18 17:27:08</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5341dde9-d2ab-4200-abea-03837ebec469')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "        \n",
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              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5341dde9-d2ab-4200-abea-03837ebec469 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5341dde9-d2ab-4200-abea-03837ebec469');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "    timestamp  latitude  longitude                date  index\n",
              "0  1642526528   49.1112    44.2557 2022-01-18 17:22:08      1\n",
              "1  1642526588   50.2043    49.7751 2022-01-18 17:23:08      2\n",
              "2  1642526648   50.9990    55.5271 2022-01-18 17:24:08      3\n",
              "3  1642526708   51.4739    61.3955 2022-01-18 17:25:08      4\n",
              "4  1642526768   51.6247    67.3980 2022-01-18 17:26:08      5\n",
              "5  1642526828   51.4423    73.3958 2022-01-18 17:27:08      6"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from scipy import stats\n",
        "slope, intercept, r_value, p_value, std_err = stats.linregress(\n",
        "    x = tmp_df['longitude'],\n",
        "    y = tmp_df['latitude'])\n",
        "\n",
        "print('intercept: ', intercept)\n",
        "print('slope: ', slope)"
      ],
      "metadata": {
        "id": "WIthEua3embM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "089b2492-e657-4fbd-c8ef-9ca5417e968b"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "intercept:  46.14530929062134\n",
            "slope:  0.07955584083191557\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# predict longitude 1 periods out\n",
        "predicted_latitude = np.ceil(slope * 20 + intercept)\n",
        "\n",
        "print('Next predicted point:', predicted_latitude)"
      ],
      "metadata": {
        "id": "CegYh3KyeoAW",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b8de5bcc-dfa7-41f0-d424-03ec0e631456"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Next predicted point: 48.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# predict longitude 1 periods out\n",
        "predicted_latitude = np.ceil(slope * 20 + intercept)\n",
        "\n",
        "print('Next predicted point:', predicted_latitude)"
      ],
      "metadata": {
        "id": "QUzTjpiZepig",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8ca0357c-b127-4fc5-8fc4-168f07dd1219"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Next predicted point: 48.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# approximate 10 periods out \n",
        "predicted_latitude = np.ceil(slope * 60 + intercept)\n",
        "\n",
        "print('Next predicted point:', predicted_latitude)"
      ],
      "metadata": {
        "id": "uiaZLy4ketze",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6e3b08dd-cb78-42cf-c018-7cd34eb96e2a"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Next predicted point: 51.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "\n",
        "plt.plot(tmp_df['longitude'],\n",
        "    tmp_df['latitude'])\n",
        "\n",
        "plt.suptitle('Future Location of the ISS')\n",
        "plt.xlabel('Longitude')\n",
        "plt.ylabel('Latitude')\n",
        "plt.grid()\n",
        "\n",
        "plt.scatter([20], [predicted_latitude], color='red')"
      ],
      "metadata": {
        "id": "3UTfdd-AeyJg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "outputId": "2264fd0e-4eda-441d-baef-0f48cd499492"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f5f47fe4890>"
            ]
          },
          "metadata": {},
          "execution_count": 69
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Polynomial Regression"
      ],
      "metadata": {
        "id": "HB4LyS_Be1nT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "\n",
        "plt.plot(tmp_df['longitude'],\n",
        "    tmp_df['latitude'])\n",
        "\n",
        "plt.suptitle('Future Location of the ISS')\n",
        "plt.xlabel('Longitude')\n",
        "plt.ylabel('Latitude')\n",
        "plt.grid()\n",
        "\n",
        "plt.scatter([20], [predicted_latitude], color='red')"
      ],
      "metadata": {
        "id": "smIw_4nve2H6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "outputId": "0531174c-d2e6-46eb-d9b9-bbd41af1d193"
      },
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f5f47f65c50>"
            ]
          },
          "metadata": {},
          "execution_count": 70
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "\n",
        "plt.plot(tmp_df['longitude'],\n",
        "    tmp_df['latitude'])\n",
        "\n",
        "plt.suptitle('Future Location of the ISS')\n",
        "plt.xlabel('Longitude')\n",
        "plt.ylabel('Latitude')\n",
        "plt.grid()\n",
        "\n",
        "plt.scatter([20], [predicted_latitude], color='red')"
      ],
      "metadata": {
        "id": "O-FX0G_2e25k",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "outputId": "9dbb994d-8786-48e5-8d6c-ff326fa90281"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f5f47ece190>"
            ]
          },
          "metadata": {},
          "execution_count": 71
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}