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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 78,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\25759\\AppData\\Local\\Temp\\ipykernel_19240\\1111699291.py:13: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame.\n",
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"Try using .loc[row_indexer,col_indexer] = value instead\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" Firm_attr['Product_Code'] = firm_product\n"
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]
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 3600x3600 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import pandas as pd\n",
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"import networkx as nx\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"plt.rcParams['font.sans-serif'] = 'SimHei'\n",
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"\n",
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"Firm = pd.read_csv(\"Firm.csv\")\n",
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"Firm.fillna(0, inplace=True)\n",
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"Firm_attr = Firm[[\"Code\",\"Name\",\"Type_Region\"]]\n",
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"firm_product = []\n",
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"for _, row in Firm.loc[:,'1':].iterrows():\n",
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" firm_product.append(row[row==1].index.to_list())\n",
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"Firm_attr['Product_Code'] = firm_product\n",
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"Firm_attr.set_index('Code')\n",
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"\n",
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"G =nx.MultiDiGraph()\n",
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"G.add_nodes_from(Firm[\"Code\"])\n",
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"\n",
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"labels_dict = {}\n",
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"for code in G.nodes:\n",
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" labels_dict[code] = Firm_attr.loc[code].to_dict()\n",
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"nx.set_node_attributes(G, labels_dict)\n",
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"\n",
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"pos = nx.nx_agraph.graphviz_layout(G, prog=\"twopi\", args=\"\")\n",
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"node_labels = nx.get_node_attributes(G, 'Name')\n",
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"plt.figure(figsize=(12, 12), dpi=300)\n",
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"nx.draw_networkx_nodes(G, pos)\n",
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"nx.draw_networkx_edges(G, pos)\n",
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"nx.draw_networkx_labels(G, pos, labels = node_labels, font_size=6)\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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},
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"orig_nbformat": 4,
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"vscode": {
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"hash": "bcdafc093860683ffb58d6956591562b7f8ed5d58147d17d71a5d4d6605a08df"
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