Node시각화.ipynb

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  "metadata": {
    "colab": {
      "name": "Node시각화",
      "provenance": [],
      "authorship_tag": "ABX9TyMV5jlU5aL9cUXYpOyl4ndx",
      "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/sucong2/NLPtest/blob/main/Node%EC%8B%9C%EA%B0%81%ED%99%94.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": {
        "id": "B30OqnERAgWJ"
      },
      "outputs": [],
      "source": [
        "import plotly.graph_objects as go\n",
        "\n",
        "import networkx as nx\n",
        "\n",
        "G = nx.random_geometric_graph(200, 0.125)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install pandas dash"
      ],
      "metadata": {
        "id": "7nbCiQuqBISS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pip install pandas"
      ],
      "metadata": {
        "id": "U3fo_bITBWn2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pip install jupyter-dash"
      ],
      "metadata": {
        "id": "-A7a6VCFBk5y"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pip install dash_cytoscape"
      ],
      "metadata": {
        "id": "NN88foOIB20V"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "edge_x = []\n",
        "edge_y = []\n",
        "for edge in G.edges():\n",
        "    x0, y0 = G.nodes[edge[0]]['pos']\n",
        "    x1, y1 = G.nodes[edge[1]]['pos']\n",
        "    edge_x.append(x0)\n",
        "    edge_x.append(x1)\n",
        "    edge_x.append(None)\n",
        "    edge_y.append(y0)\n",
        "    edge_y.append(y1)\n",
        "    edge_y.append(None)\n",
        "\n",
        "edge_trace = go.Scatter(\n",
        "    x=edge_x, y=edge_y,\n",
        "    line=dict(width=0.5, color='#888'),\n",
        "    hoverinfo='none',\n",
        "    mode='lines')\n",
        "\n",
        "node_x = []\n",
        "node_y = []\n",
        "for node in G.nodes():\n",
        "    x, y = G.nodes[node]['pos']\n",
        "    node_x.append(x)\n",
        "    node_y.append(y)\n",
        "\n",
        "node_trace = go.Scatter(\n",
        "    x=node_x, y=node_y,\n",
        "    mode='markers',\n",
        "    hoverinfo='text',\n",
        "    marker=dict(\n",
        "        showscale=True,\n",
        "        # colorscale options\n",
        "        #'Greys' | 'YlGnBu' | 'Greens' | 'YlOrRd' | 'Bluered' | 'RdBu' |\n",
        "        #'Reds' | 'Blues' | 'Picnic' | 'Rainbow' | 'Portland' | 'Jet' |\n",
        "        #'Hot' | 'Blackbody' | 'Earth' | 'Electric' | 'Viridis' |\n",
        "        colorscale='YlGnBu',\n",
        "        reversescale=True,\n",
        "        color=[],\n",
        "        size=10,\n",
        "        colorbar=dict(\n",
        "            thickness=15,\n",
        "            title='Node Connections',\n",
        "            xanchor='left',\n",
        "            titleside='right'\n",
        "        ),\n",
        "        line_width=2))"
      ],
      "metadata": {
        "id": "E9N2totCAxQt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "node_adjacencies = []\n",
        "node_text = []\n",
        "for node, adjacencies in enumerate(G.adjacency()):\n",
        "    node_adjacencies.append(len(adjacencies[1]))\n",
        "    node_text.append('# of connections: '+str(len(adjacencies[1])))\n",
        "\n",
        "node_trace.marker.color = node_adjacencies\n",
        "node_trace.text = node_text"
      ],
      "metadata": {
        "id": "BK9c2eWIA0HA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig = go.Figure(data=[edge_trace, node_trace],\n",
        "             layout=go.Layout(\n",
        "                title='<br>Network graph made with Python',\n",
        "                titlefont_size=16,\n",
        "                showlegend=False,\n",
        "                hovermode='closest',\n",
        "                margin=dict(b=20,l=5,r=5,t=40),\n",
        "                annotations=[ dict(\n",
        "                    \n",
        "                    showarrow=False,\n",
        "                    xref=\"paper\", yref=\"paper\",\n",
        "                    x=0.005, y=-0.002 ) ],\n",
        "                xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),\n",
        "                yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))\n",
        "                )\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "vJOCq7VOA3vA",
        "outputId": "ef16a243-5660-47b2-d5d9-0592334bbcff"
      },
      "execution_count": null,
      "outputs": [
        {
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