cfmedip_fragmentation.ipynb

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    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMGD/kw7OnY7sXOfkz3megR",
      "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/pughlab/COMBAT/blob/main/cfmedip_fragmentation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nYWkYdygk2qg",
        "outputId": "dad502fb-ae30-4763-9873-a603d426bd18"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "file_path = '/content/drive/My Drive/Pughlab-Work/COMBAT/2025-02-11_COMBAT_cfmedip_insert_size_counts.tsv'\n",
        "df = pd.read_csv(file_path, sep = '\\t')"
      ],
      "metadata": {
        "id": "E7ShEiwelry3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# prompt:  Remove the column with names: \"COMBAT_0011_02_LB02-01_1\" and \"COMBAT_0012_02_LB02-01_1\". Filter the rows based on the insert_size column for greater than 50 and less than 250.\n",
        "\n",
        "# Remove specified columns\n",
        "columns_to_remove = [\"COMBAT_0011_02_LB02-01_1\", \"COMBAT_0012_02_LB02-01_1\"]\n",
        "df = df.drop(columns=columns_to_remove, errors='ignore')\n",
        "\n",
        "# Filter rows based on insert_size\n",
        "df_filtered = df[(df['insert_size'] > 50) & (df['insert_size'] < 250)]\n"
      ],
      "metadata": {
        "id": "RCnR46znl9WV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_filtered"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        },
        "id": "Z4yyftKqpLWs",
        "outputId": "d4d66647-88d0-40d6-d342-e9460b2f9a56"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     insert_size  COMBAT_0001_02_LB02-01  COMBAT_0002_02_LB02-01  \\\n",
              "49            51                     416                     637   \n",
              "50            52                     446                     624   \n",
              "51            53                     424                     687   \n",
              "52            54                     528                     745   \n",
              "53            55                     458                     690   \n",
              "..           ...                     ...                     ...   \n",
              "243          245                    1392                    2761   \n",
              "244          246                    1276                    2647   \n",
              "245          247                    1313                    2764   \n",
              "246          248                    1283                    2617   \n",
              "247          249                    1308                    2641   \n",
              "\n",
              "     COMBAT_0003_02_LB02-01  COMBAT_0004_02_LB02-01  COMBAT_0005_02_LB02-01  \\\n",
              "49                      966                     846                    1169   \n",
              "50                      981                     843                    1104   \n",
              "51                      958                     750                    1117   \n",
              "52                     1106                     885                    1266   \n",
              "53                     1056                     839                    1187   \n",
              "..                      ...                     ...                     ...   \n",
              "243                    3014                    2777                    2060   \n",
              "244                    2983                    2624                    1926   \n",
              "245                    2902                    2614                    1925   \n",
              "246                    2903                    2591                    1820   \n",
              "247                    2861                    2591                    1904   \n",
              "\n",
              "     COMBAT_0006_02_LB02-01  COMBAT_0007_02_LB02-01  COMBAT_0008_02_LB02-01  \\\n",
              "49                      694                    1183                     888   \n",
              "50                      634                    1073                     849   \n",
              "51                      624                    1015                     893   \n",
              "52                      680                    1148                     944   \n",
              "53                      689                    1116                     965   \n",
              "..                      ...                     ...                     ...   \n",
              "243                    3168                    4382                    4192   \n",
              "244                    3130                    4285                    4040   \n",
              "245                    2948                    4055                    3848   \n",
              "246                    3110                    4116                    3949   \n",
              "247                    3121                    4215                    3896   \n",
              "\n",
              "     COMBAT_0009_02_LB02-01  COMBAT_0010_02_LB01-01  COMBAT_0014_02_LB02-01  \\\n",
              "49                     1472                    1227                    1120   \n",
              "50                     1384                    1131                    1074   \n",
              "51                     1402                    1233                    1221   \n",
              "52                     1617                    1292                    1254   \n",
              "53                     1658                    1329                    1283   \n",
              "..                      ...                     ...                     ...   \n",
              "243                    6162                    4107                    3417   \n",
              "244                    6204                    4007                    3306   \n",
              "245                    5959                    3889                    3272   \n",
              "246                    5906                    4015                    3272   \n",
              "247                    5799                    3875                    3143   \n",
              "\n",
              "     COMBAT_0015_02_LB02-01  COMBAT_0016_01_LB02-01  COMBAT_0017_01_LB02-01  \\\n",
              "49                     1462                    1909                     653   \n",
              "50                     1473                    1866                     593   \n",
              "51                     1536                    2010                     595   \n",
              "52                     1688                    2416                     757   \n",
              "53                     1592                    2542                     626   \n",
              "..                      ...                     ...                     ...   \n",
              "243                    4435                    5065                    2289   \n",
              "244                    4283                    5116                    2221   \n",
              "245                    4189                    4951                    2089   \n",
              "246                    4215                    4841                    2123   \n",
              "247                    3998                    4727                    2062   \n",
              "\n",
              "     COMBAT_0018_01_LB02-01  COMBAT_0019_01_LB02-01  COMBAT_0020_01_LB02-01  \\\n",
              "49                      538                     654                    1072   \n",
              "50                      467                     568                    1013   \n",
              "51                      474                     565                    1021   \n",
              "52                      626                     722                    1085   \n",
              "53                      571                     640                    1070   \n",
              "..                      ...                     ...                     ...   \n",
              "243                    2177                    2298                    2534   \n",
              "244                    2171                    2208                    2488   \n",
              "245                    2106                    2165                    2417   \n",
              "246                    2093                    2120                    2418   \n",
              "247                    2006                    2227                    2416   \n",
              "\n",
              "     COMBAT_0021_01_LB02-01  \n",
              "49                      725  \n",
              "50                      719  \n",
              "51                      764  \n",
              "52                      892  \n",
              "53                      862  \n",
              "..                      ...  \n",
              "243                    2956  \n",
              "244                    2973  \n",
              "245                    2929  \n",
              "246                    2901  \n",
              "247                    2833  \n",
              "\n",
              "[199 rows x 19 columns]"
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              "      <th></th>\n",
              "      <th>insert_size</th>\n",
              "      <th>COMBAT_0001_02_LB02-01</th>\n",
              "      <th>COMBAT_0002_02_LB02-01</th>\n",
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              "      <th>COMBAT_0007_02_LB02-01</th>\n",
              "      <th>COMBAT_0008_02_LB02-01</th>\n",
              "      <th>COMBAT_0009_02_LB02-01</th>\n",
              "      <th>COMBAT_0010_02_LB01-01</th>\n",
              "      <th>COMBAT_0014_02_LB02-01</th>\n",
              "      <th>COMBAT_0015_02_LB02-01</th>\n",
              "      <th>COMBAT_0016_01_LB02-01</th>\n",
              "      <th>COMBAT_0017_01_LB02-01</th>\n",
              "      <th>COMBAT_0018_01_LB02-01</th>\n",
              "      <th>COMBAT_0019_01_LB02-01</th>\n",
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              "      <th>COMBAT_0021_01_LB02-01</th>\n",
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              "      <th>49</th>\n",
              "      <td>51</td>\n",
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              "      <td>637</td>\n",
              "      <td>966</td>\n",
              "      <td>846</td>\n",
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              "      <td>1183</td>\n",
              "      <td>888</td>\n",
              "      <td>1472</td>\n",
              "      <td>1227</td>\n",
              "      <td>1120</td>\n",
              "      <td>1462</td>\n",
              "      <td>1909</td>\n",
              "      <td>653</td>\n",
              "      <td>538</td>\n",
              "      <td>654</td>\n",
              "      <td>1072</td>\n",
              "      <td>725</td>\n",
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              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>52</td>\n",
              "      <td>446</td>\n",
              "      <td>624</td>\n",
              "      <td>981</td>\n",
              "      <td>843</td>\n",
              "      <td>1104</td>\n",
              "      <td>634</td>\n",
              "      <td>1073</td>\n",
              "      <td>849</td>\n",
              "      <td>1384</td>\n",
              "      <td>1131</td>\n",
              "      <td>1074</td>\n",
              "      <td>1473</td>\n",
              "      <td>1866</td>\n",
              "      <td>593</td>\n",
              "      <td>467</td>\n",
              "      <td>568</td>\n",
              "      <td>1013</td>\n",
              "      <td>719</td>\n",
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              "      <td>53</td>\n",
              "      <td>424</td>\n",
              "      <td>687</td>\n",
              "      <td>958</td>\n",
              "      <td>750</td>\n",
              "      <td>1117</td>\n",
              "      <td>624</td>\n",
              "      <td>1015</td>\n",
              "      <td>893</td>\n",
              "      <td>1402</td>\n",
              "      <td>1233</td>\n",
              "      <td>1221</td>\n",
              "      <td>1536</td>\n",
              "      <td>2010</td>\n",
              "      <td>595</td>\n",
              "      <td>474</td>\n",
              "      <td>565</td>\n",
              "      <td>1021</td>\n",
              "      <td>764</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>54</td>\n",
              "      <td>528</td>\n",
              "      <td>745</td>\n",
              "      <td>1106</td>\n",
              "      <td>885</td>\n",
              "      <td>1266</td>\n",
              "      <td>680</td>\n",
              "      <td>1148</td>\n",
              "      <td>944</td>\n",
              "      <td>1617</td>\n",
              "      <td>1292</td>\n",
              "      <td>1254</td>\n",
              "      <td>1688</td>\n",
              "      <td>2416</td>\n",
              "      <td>757</td>\n",
              "      <td>626</td>\n",
              "      <td>722</td>\n",
              "      <td>1085</td>\n",
              "      <td>892</td>\n",
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              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>55</td>\n",
              "      <td>458</td>\n",
              "      <td>690</td>\n",
              "      <td>1056</td>\n",
              "      <td>839</td>\n",
              "      <td>1187</td>\n",
              "      <td>689</td>\n",
              "      <td>1116</td>\n",
              "      <td>965</td>\n",
              "      <td>1658</td>\n",
              "      <td>1329</td>\n",
              "      <td>1283</td>\n",
              "      <td>1592</td>\n",
              "      <td>2542</td>\n",
              "      <td>626</td>\n",
              "      <td>571</td>\n",
              "      <td>640</td>\n",
              "      <td>1070</td>\n",
              "      <td>862</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>243</th>\n",
              "      <td>245</td>\n",
              "      <td>1392</td>\n",
              "      <td>2761</td>\n",
              "      <td>3014</td>\n",
              "      <td>2777</td>\n",
              "      <td>2060</td>\n",
              "      <td>3168</td>\n",
              "      <td>4382</td>\n",
              "      <td>4192</td>\n",
              "      <td>6162</td>\n",
              "      <td>4107</td>\n",
              "      <td>3417</td>\n",
              "      <td>4435</td>\n",
              "      <td>5065</td>\n",
              "      <td>2289</td>\n",
              "      <td>2177</td>\n",
              "      <td>2298</td>\n",
              "      <td>2534</td>\n",
              "      <td>2956</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>244</th>\n",
              "      <td>246</td>\n",
              "      <td>1276</td>\n",
              "      <td>2647</td>\n",
              "      <td>2983</td>\n",
              "      <td>2624</td>\n",
              "      <td>1926</td>\n",
              "      <td>3130</td>\n",
              "      <td>4285</td>\n",
              "      <td>4040</td>\n",
              "      <td>6204</td>\n",
              "      <td>4007</td>\n",
              "      <td>3306</td>\n",
              "      <td>4283</td>\n",
              "      <td>5116</td>\n",
              "      <td>2221</td>\n",
              "      <td>2171</td>\n",
              "      <td>2208</td>\n",
              "      <td>2488</td>\n",
              "      <td>2973</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>245</th>\n",
              "      <td>247</td>\n",
              "      <td>1313</td>\n",
              "      <td>2764</td>\n",
              "      <td>2902</td>\n",
              "      <td>2614</td>\n",
              "      <td>1925</td>\n",
              "      <td>2948</td>\n",
              "      <td>4055</td>\n",
              "      <td>3848</td>\n",
              "      <td>5959</td>\n",
              "      <td>3889</td>\n",
              "      <td>3272</td>\n",
              "      <td>4189</td>\n",
              "      <td>4951</td>\n",
              "      <td>2089</td>\n",
              "      <td>2106</td>\n",
              "      <td>2165</td>\n",
              "      <td>2417</td>\n",
              "      <td>2929</td>\n",
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              "    <tr>\n",
              "      <th>246</th>\n",
              "      <td>248</td>\n",
              "      <td>1283</td>\n",
              "      <td>2617</td>\n",
              "      <td>2903</td>\n",
              "      <td>2591</td>\n",
              "      <td>1820</td>\n",
              "      <td>3110</td>\n",
              "      <td>4116</td>\n",
              "      <td>3949</td>\n",
              "      <td>5906</td>\n",
              "      <td>4015</td>\n",
              "      <td>3272</td>\n",
              "      <td>4215</td>\n",
              "      <td>4841</td>\n",
              "      <td>2123</td>\n",
              "      <td>2093</td>\n",
              "      <td>2120</td>\n",
              "      <td>2418</td>\n",
              "      <td>2901</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>247</th>\n",
              "      <td>249</td>\n",
              "      <td>1308</td>\n",
              "      <td>2641</td>\n",
              "      <td>2861</td>\n",
              "      <td>2591</td>\n",
              "      <td>1904</td>\n",
              "      <td>3121</td>\n",
              "      <td>4215</td>\n",
              "      <td>3896</td>\n",
              "      <td>5799</td>\n",
              "      <td>3875</td>\n",
              "      <td>3143</td>\n",
              "      <td>3998</td>\n",
              "      <td>4727</td>\n",
              "      <td>2062</td>\n",
              "      <td>2006</td>\n",
              "      <td>2227</td>\n",
              "      <td>2416</td>\n",
              "      <td>2833</td>\n",
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              "  </tbody>\n",
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              "<p>199 rows × 19 columns</p>\n",
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              "          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",
              "\n",
              "\n",
              "<div id=\"df-0a4ef1ec-91be-441d-adde-d7bd7c1c8110\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0a4ef1ec-91be-441d-adde-d7bd7c1c8110')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-0a4ef1ec-91be-441d-adde-d7bd7c1c8110 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_f831318a-806c-42ba-ac36-ad219aee69d6\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_filtered')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_f831318a-806c-42ba-ac36-ad219aee69d6 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df_filtered');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_filtered",
              "summary": "{\n  \"name\": \"df_filtered\",\n  \"rows\": 199,\n  \"fields\": [\n    {\n      \"column\": \"insert_size\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 57,\n        \"min\": 51,\n        \"max\": 249,\n        \"num_unique_values\": 199,\n        \"samples\": [\n          133,\n          66,\n          162\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0001_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 20766,\n        \"min\": 416,\n        \"max\": 78315,\n        \"num_unique_values\": 199,\n        \"samples\": [\n          13852,\n          854,\n          58303\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0002_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 45585,\n        \"min\": 624,\n        \"max\": 164110,\n        \"num_unique_values\": 199,\n        \"samples\": [\n          17554,\n          1139,\n          111735\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0003_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 43854,\n        \"min\": 958,\n        \"max\": 160267,\n        \"num_unique_values\": 199,\n        \"samples\": [\n          20912,\n          1760,\n          112729\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0004_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 48280,\n        \"min\": 750,\n        \"max\": 178208,\n        \"num_unique_values\": 197,\n        \"samples\": [\n          63433,\n          156914,\n          1503\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0005_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 22361,\n        \"min\": 1104,\n        \"max\": 83064,\n        \"num_unique_values\": 197,\n        \"samples\": [\n          31679,\n          73467,\n          1691\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0006_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 58405,\n        \"min\": 624,\n        \"max\": 222157,\n        \"num_unique_values\": 198,\n        \"samples\": [\n          8287,\n          220048,\n          1360\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0007_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 115413,\n        \"min\": 1015,\n        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   }\n    },\n    {\n      \"column\": \"COMBAT_0010_02_LB01-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 124029,\n        \"min\": 1131,\n        \"max\": 479598,\n        \"num_unique_values\": 199,\n        \"samples\": [\n          86769,\n          2305,\n          360682\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0014_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 61387,\n        \"min\": 1074,\n        \"max\": 233914,\n        \"num_unique_values\": 198,\n        \"samples\": [\n          9823,\n          226436,\n          2065\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0015_02_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 81311,\n        \"min\": 1462,\n        \"max\": 307699,\n        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  \"samples\": [\n          20057,\n          1631,\n          69827\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COMBAT_0021_01_LB02-01\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 44049,\n        \"min\": 719,\n        \"max\": 165673,\n        \"num_unique_values\": 199,\n        \"samples\": [\n          23440,\n          1347,\n          121820\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# prompt: Based on the first column \"insert_size\" plot the histogram density curve of every other column for \"insert_size\" values. Put all the curves in one plot.\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Assuming df_filtered is defined from the previous code\n",
        "\n",
        "# Iterate over every other column, starting from the second column (index 1)\n",
        "for i in range(1, len(df_filtered.columns), 2):\n",
        "    column_name = df_filtered.columns[i]\n",
        "    sns.kdeplot(data=df_filtered, x=\"insert_size\", weights=df_filtered[column_name], label=column_name)\n",
        "\n",
        "plt.xlabel(\"Insert Size\")\n",
        "plt.ylabel(\"Density\")\n",
        "plt.title(\"Density Curves of Insert Sizes\")\n",
        "#plt.legend()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "hM73K0qLpc3W",
        "outputId": "7ad862c8-4eae-4cbb-a962-8117aafee709"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "vwkRqNl2qIwY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# prompt: In a new plot do the above only for the insert_size of greater than 50 and less than 150.\n",
        "\n",
        "# Assuming df_filtered is defined from the previous code\n",
        "df_filtered = df[(df['insert_size'] > 50) & (df['insert_size'] < 150)]\n",
        "plt.figure(figsize=(10, 6))  # Adjust figure size as needed\n",
        "\n",
        "# Iterate over every other column, starting from the second column (index 1)\n",
        "for i in range(1, len(df_filtered.columns), 2):\n",
        "    column_name = df_filtered.columns[i]\n",
        "    sns.kdeplot(data=df_filtered, x=\"insert_size\", weights=df_filtered[column_name], label=column_name)\n",
        "\n",
        "plt.xlabel(\"Insert Size\")\n",
        "plt.ylabel(\"Density\")\n",
        "plt.title(\"Density Curves of Insert Sizes (50 < insert_size < 250)\")\n",
        "plt.legend(title='Samples')\n",
        "plt.xlim(50, 250) # set the x-axis limits\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "iai3jIjaqJpi",
        "outputId": "d0eb0832-a7a4-49e0-b4b2-db7be6b29f5e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}