project_on_seaborn.ipynb

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    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPG3zC82ymOCVHBUuB2JXdL",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Chakaliravindra/986654/blob/main/project_on_seaborn.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# importing all necessary libraries\n",
        "import pandas as pd\n",
        "from matplotlib import pyplot as plt\n",
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "EmXzHuArf9dj"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "csv_url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'\n",
        "iris = pd.read_csv(csv_url, header = None)\n",
        "col_names = ['Sepal_Length','Sepal_Width','Petal_Length','Petal_Width','Species']\n",
        "iris =  pd.read_csv(csv_url, names = col_names)\n",
        "iris.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "oBGLTKoEf9v7",
        "outputId": "0af4bcf0-edd6-4d11-d644-23d482624d84"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Sepal_Length  Sepal_Width  Petal_Length  Petal_Width      Species\n",
              "0           5.1          3.5           1.4          0.2  Iris-setosa\n",
              "1           4.9          3.0           1.4          0.2  Iris-setosa\n",
              "2           4.7          3.2           1.3          0.2  Iris-setosa\n",
              "3           4.6          3.1           1.5          0.2  Iris-setosa\n",
              "4           5.0          3.6           1.4          0.2  Iris-setosa"
            ],
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Sepal_Length</th>\n",
              "      <th>Sepal_Width</th>\n",
              "      <th>Petal_Length</th>\n",
              "      <th>Petal_Width</th>\n",
              "      <th>Species</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5.1</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.7</td>\n",
              "      <td>3.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.6</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "          document.querySelector('#df-12c0f19c-b8df-4776-b4ba-cf703715a0f6 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-12c0f19c-b8df-4776-b4ba-cf703715a0f6');\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",
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            ]
          },
          "metadata": {},
          "execution_count": 26
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    {
      "cell_type": "code",
      "source": [
        "#  seaborn scatter-plot\n",
        "sns.scatterplot(x='Sepal_Length',y='Petal_Length',data=iris)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "_tQ_69o4cjJK",
        "outputId": "7170a983-25c8-45ed-c1e0-2a878536556f"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# changing color by mapping species column on to hue asethics( color is to be determined by categorical colomn)\n",
        "sns.scatterplot(x='Sepal_Length',y='Petal_Length',data=iris,hue='Species',style='Species')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "cJ-_KVo_cjN2",
        "outputId": "6026e183-2f34-40b0-e795-52ddc40bc174"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# color is to be determined by numerical colomn\n",
        "sns.scatterplot(x='Sepal_Length',y='Petal_Length',data=iris,hue='Petal_Length',style='Species')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "1jdptsgNcjTY",
        "outputId": "c5f6189a-6527-4e31-d291-2460eea66ccf"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}