IT496_ViktoriiaO_CPM_PERT_Shortened.ipynb

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        "<a href=\"https://colab.research.google.com/github/vovsiienko/IT496_Course_acitvities/blob/master/IT496_ViktoriiaO_CPM_PERT_Shortened.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "import pandas as pd\n",
        "import numpy as np\n",
        "import tensorflow_probability as tfp\n",
        "tfd=tfp.distributions\n",
        "\n",
        "simulationDF=pd.read_csv('/content/drive/MyDrive/IT496/simulationDataset.csv')\n",
        "\n",
        "simulationDF.head(2)"
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              "          A         B         C         D         E         F         G  \\\n",
              "0  6.779389  4.518081  4.588156  2.693674  5.198787  4.360078  6.896625   \n",
              "1  6.653130  4.175826  2.546335  2.622374  5.509677  5.459227  3.933105   \n",
              "\n",
              "          H          I         J  EOP  \n",
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              "        ADEJ      BCDEJ      BCFGJ      BCFHJ         BI maxElement\n",
              "0  17.253636  19.580484  22.944727  17.229141  18.485372      BCFGJ\n",
              "1  17.089749  17.158780  18.419062  19.552577  24.060752         BI"
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              "      <td>BCFGJ</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>17.089749</td>\n",
              "      <td>17.158780</td>\n",
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              "                                                     [key], {});\n",
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          "metadata": {},
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        }
      ],
      "source": [
        "paths = ['ADEJ','BCDEJ','BCFGJ', 'BCFHJ','BI']\n",
        "pathsDF=pd.DataFrame(columns=paths)\n",
        "ADEJ=[]\n",
        "BCDEJ=[]\n",
        "BCFGJ=[]\n",
        "BCFHJ=[]\n",
        "BI=[]\n",
        "\n",
        "\n",
        "for index, row in simulationDF.iterrows():\n",
        "  ADEJ.append(row['A']+row['D']+row['E']+row['J'])\n",
        "  BCDEJ.append(row['B']+row['C']+row['D']+row['E']+row['J'])\n",
        "  BCFGJ.append(row['B']+row['C']+row['F']+row['G']+row['J'])\n",
        "  BCFHJ.append(row['B']+row['C']+row['F']+row['H']+row['J'])\n",
        "  BI.append(row['B']+row['I'])\n",
        "\n",
        "pathsDF['ADEJ'] = ADEJ\n",
        "pathsDF['BCDEJ'] = BCDEJ\n",
        "pathsDF['BCFGJ'] = BCFGJ\n",
        "pathsDF['BCFHJ'] = BCFHJ\n",
        "pathsDF['BI'] = BI\n",
        "pathsDF['maxElement'] = pathsDF.idxmax(axis=1)\n",
        "\n",
        "pathsDF.head(2)\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#getting No of cases for path with Max value\n",
        "cases = pathsDF['maxElement'].value_counts() \n",
        "\n",
        "print(cases)"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "g7TNf32bhgeL",
        "outputId": "f1d752d3-c3b9-48c5-b9e4-beb5aa130473"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "BCDEJ    34074\n",
            "BCFGJ    25620\n",
            "BI       21770\n",
            "BCFHJ    14629\n",
            "ADEJ      3907\n",
            "Name: maxElement, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#percent of max value occurance for each path \n",
        "\n",
        "percentage = cases*100/100000\n",
        "print(percentage)"
      ],
      "metadata": {
        "id": "BPhjVql9kwV-",
        "outputId": "cd83c271-6e18-4745-d936-1e0e3d76c88f",
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        }
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "BCDEJ    34.074\n",
            "BCFGJ    25.620\n",
            "BI       21.770\n",
            "BCFHJ    14.629\n",
            "ADEJ      3.907\n",
            "Name: maxElement, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#get the maximum"
      ],
      "metadata": {
        "id": "o6ETlsP8ls4p"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}