29 lines
805 B
Python
29 lines
805 B
Python
# %%
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import pandas as pd
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import networkx as nx
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import matplotlib.pyplot as plt
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plt.rcParams['font.sans-serif'] = 'SimHei'
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BomNodes = pd.read_csv('BomNodes.csv', index_col=0)
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BomNodes.set_index('Code', inplace=True)
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BomCateNet = pd.read_csv('BomCateNet.csv', index_col=0)
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BomCateNet.fillna(0, inplace=True)
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G = nx.from_pandas_adjacency(BomCateNet, create_using=nx.MultiDiGraph())
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labels_dict = {}
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for code in G.nodes:
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labels_dict[code] = BomNodes.loc[code].to_dict()
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nx.set_node_attributes(G, labels_dict)
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pos = nx.nx_agraph.graphviz_layout(G, prog="twopi", args="")
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node_labels = nx.get_node_attributes(G, 'Name')
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plt.figure(figsize=(12, 12), dpi=300)
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nx.draw_networkx_nodes(G, pos)
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nx.draw_networkx_edges(G, pos)
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nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=6)
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plt.show()
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# %%
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