Plotting_samples.ipynb

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  "metadata": {
    "colab": {
      "name": "Plotting_samples.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOC0fFyKfXYPx4vbz3eAsPx",
      "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/Mahesh6702/Research-Project/blob/main/Plotting_samples.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wmDwGhgrAykr"
      },
      "source": [
        "!pip install mpld3"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GqLpuzRgxCYR"
      },
      "source": [
        "Visualising First 13class of forces\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "id": "gVXiLrC4wvyS",
        "outputId": "78e54ebd-06fe-4b2c-8c28-15cc8295c830"
      },
      "source": [
        "import pandas as pd \n",
        "from matplotlib import pyplot as plt\n",
        "from google.colab import files\n",
        "plt.style.use('seaborn-talk')\n",
        "import io\n",
        "import mpld3\n",
        "from mpld3 import plugins\n",
        "\n",
        "data = files.upload()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-016ea9fb-36eb-44c2-8d64-694b6d248a12\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-016ea9fb-36eb-44c2-8d64-694b6d248a12\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving sample1.csv to sample1.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JdmUPWKwysyI"
      },
      "source": [
        "Reading data from the file"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IpYwafIe0SGu"
      },
      "source": [
        "data = pd.read_csv(io.StringIO(data['sample1.csv'].decode('utf-8')))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ne1lk9ab0cH7"
      },
      "source": [
        "Assiging each colums in the file with name"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "dd2MsEo6yxa_",
        "outputId": "526f03ef-669e-4194-c6cf-70312db74d84"
      },
      "source": [
        "Samples_values = data['Samples']\n",
        "force_4N = data['Force4']\n",
        "force_5N = data['Force5']\n",
        "force_6N = data['Force6']\n",
        "force_7N = data['Force7']\n",
        "force_8N = data['Force8']\n",
        "force_9N = data['Force9']\n",
        "force_10N = data['Force10']\n",
        "force_11N = data['Force11']\n",
        "force_12N = data['Force12']\n",
        "force_13N = data['Force13']\n",
        "mpld3.display()\n",
        "\n",
        "plt.plot(Samples_values, force_4N,'*',label =\"4N Force\")\n",
        "plt.plot(Samples_values, force_5N,'*',label =\"5N Force\")\n",
        "plt.plot(Samples_values, force_6N,'*',label =\"6N Force\")\n",
        "plt.plot(Samples_values, force_7N,'*',label =\"7N Force\")\n",
        "plt.plot(Samples_values, force_8N,'*',label =\"8N Force\")\n",
        "plt.plot(Samples_values, force_9N,'*',label =\"9N Force\")\n",
        "#plt.plot(Samples_values, force_10N,'*',label =\"10N Force\")\n",
        "#plt.plot(Samples_values, force_11N,'*',label =\"11N Force\")\n",
        "#plt.plot(Samples_values, force_12N,'*',label =\"12N Force\")\n",
        "#plt.plot(Samples_values, force_13N,'*',label =\"13N Force\")\n",
        "# mpld3.display()\n",
        "plt.legend()\n",
        "plt.title('Force class over no of samples')\n",
        "plt.xlabel('No of Samples')\n",
        "plt.ylabel('Resistance in Ω')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Resistance in Ω')"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 748.8x514.8 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}