IT496_ViktoriiaO_SankeyDiagrams_PythonTool.ipynb

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      "source": [
        "#import\n",
        "import plotly.graph_objects as go"
      ],
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        "id": "UPt8U8fnq3eY"
      },
      "execution_count": 11,
      "outputs": []
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        "id": "CCmmJwJ8osO9"
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        "#create the data frame\n",
        "#data for information flow (network traffic) between offices\n",
        "node=['main office', 'warehouse', 'bldg 1', 'blgs 2', 'bldg 3', 'bldg 4', 'bldg 5']\n",
        "source = [0, 0, 1, 1, 0, 1, 0]\n",
        "target = [2, 3, 4, 5, 4, 6, 6]\n",
        "\n",
        "#network usage in terabyte\n",
        "value = [8, 2, 2, 8, 4, 5, 7]\n",
        "color = ['bisque', 'mediumorchid', 'khaki', 'lightpink', 'lightcyan', 'peachpuff', 'tan']\n",
        "linkLabel=['information', 'transactions', 'delivery information', 'delivery information', 'requests', 'delivery information', 'requests']"
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    {
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      "source": [
        "#create dictionaries\n",
        "#data to dict, dict to sankey\n",
        "link= dict(source = source, target = target, value=value, color=color, label=linkLabel)\n",
        "node=dict(label=node, pad=50, thickness=5)"
      ],
      "metadata": {
        "id": "_jN48mbPqrDQ"
      },
      "execution_count": 13,
      "outputs": []
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        "#plot it\n",
        "data=go.Sankey(link=link, node=node)\n",
        "#plot\n",
        "fig=go.Figure(data)\n",
        "fig.show()"
      ],
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        "outputId": "97180f08-2149-403b-d7dc-f3da5f7ca2c9"
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    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "edgeDF=pd.read_csv(\"/content/drive/MyDrive/IT496/SankeyEdgeData.csv\")\n"
      ],
      "metadata": {
        "id": "Gzuu37J1sFip"
      },
      "execution_count": 15,
      "outputs": []
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