LinePlot1.ipynb

{
  "metadata": {
    "kernelspec": {
      "name": "python",
      "display_name": "Python (Pyodide)",
      "language": "python"
    },
    "language_info": {
      "name": ""
    }
  },
  "nbformat_minor": 4,
  "nbformat": 4,
  "cells": [
    {
      "cell_type": "code",
      "source": "%pip install seaborn\n%pip install folium",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "import numpy as np\nimport pandas as pd\n%matplotlib inline\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport folium",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "from js import fetch\nimport io\n\nURL = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/historical_automobile_sales.csv\"\nresp = await fetch(URL)\ntext = io.BytesIO((await resp.arrayBuffer()).to_py())\nimport pandas as pd\ndf = pd.read_csv(text)\nprint('Data downloaded and read into a dataframe!')",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "df.describe()",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "df.columns",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "df_line = df.groupby(df['Year'])['Automobile_Sales'].mean()\n#create figure\nplt.figure(figsize=(10, 6))\ndf_line.plot(kind = 'line')\nplt.xlabel('g')\nplt.ylabel('lkg')\nplt.title('output')\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "",
      "metadata": {
        "trusted": true
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      "outputs": [],
      "execution_count": null
    }
  ]
}