From b382b686f789aef7748660ad896c8350e258a998 Mon Sep 17 00:00:00 2001 From: unknown Date: Thu, 13 Jul 2023 11:44:13 +0800 Subject: [PATCH] draw g_bom g_firm --- LoadNet.py | 105 ++++++++++++++++++++++++++++++++++++++++++++ data/temp.csv | 6 +++ g_bom_20230712.png | Bin 0 -> 135469 bytes g_firm_20230712.png | Bin 0 -> 73457 bytes 4 files changed, 111 insertions(+) create mode 100644 LoadNet.py create mode 100644 data/temp.csv create mode 100644 g_bom_20230712.png create mode 100644 g_firm_20230712.png diff --git a/LoadNet.py b/LoadNet.py new file mode 100644 index 0000000..885dfda --- /dev/null +++ b/LoadNet.py @@ -0,0 +1,105 @@ +import pandas as pd +import networkx as nx +import matplotlib.pyplot as plt + +df = pd.read_csv('data\\temp.csv') +df['succ_equipment_code'] = df['equipment_code'].str.rsplit('.', n=1) +df['succ_equipment_code'] = df['succ_equipment_code'].apply(lambda lst: lst[0] if len(lst)>1 else None) + +assert len(df['equipment_code']) == len((df['equipment_code'].unique())),\ + "column equipment_code contains duplicate value" +df.set_index('equipment_code', inplace=True) + +# graph bom +g_bom = nx.DiGraph() +g_bom.add_nodes_from(df.index) + +# edge +for index, row in df.iterrows(): + if row['succ_equipment_code']: + g_bom.add_edge(index, row['succ_equipment_code']) + +# attr +df_attr = df.loc[:, ['equipment_name']] +dct_attr = {} +for code in df_attr.index: + dct_attr[code] = df_attr.loc[code].to_dict() +nx.set_node_attributes(g_bom, dct_attr) + +# show +plt.rcParams['font.sans-serif'] = 'SimHei' +plt.figure(figsize=(12, 12), dpi=300) +pos = nx.nx_agraph.graphviz_layout(g_bom, + prog='twopi', + args='') +node_label = nx.get_node_attributes(g_bom, 'equipment_name') +nx.draw(g_bom, + pos, + labels=node_label, + font_size=6) +plt.savefig('g_bom_20230712.png') +plt.close() + +# graph firm +s_firm = pd.Series(df['firm_name'].unique()) +g_firm = nx.MultiDiGraph() +g_firm.add_nodes_from(s_firm.index) + +# attr +dct_attr = {} +for firm_code in s_firm.index: + firm_name = s_firm[firm_code] + lst_prod_code = df.index[df['firm_name'] == firm_name].to_list() + dct_attr[firm_code] = {'firm_name': firm_name, + 'lst_prod_code': lst_prod_code} +nx.set_node_attributes(g_firm, dct_attr) + +print(g_firm.nodes) +print(g_firm.nodes[0]) +# edge +for prod_code, row in df.iterrows(): + firm_name = row['firm_name'] + firm_code = s_firm.index[s_firm == firm_name].to_list()[0] + for succ_prod_code in g_bom.successors(prod_code): + # 目前df中一个prod code只对应一个firm + succ_firm_name = df.loc[df.index == succ_prod_code, 'firm_name'].to_list()[0] + succ_firm_code = s_firm.index[s_firm == succ_firm_name].to_list()[0] + g_firm.add_edges_from([(firm_code, succ_firm_code, {'product': prod_code})]) + print((firm_name, succ_firm_name, prod_code)) + +# show +plt.rcParams['font.sans-serif'] = 'SimHei' +plt.figure(figsize=(12, 12), dpi=300) +pos = nx.nx_agraph.graphviz_layout(g_firm, + prog='twopi', + args='') +node_label = nx.get_node_attributes(g_firm, 'firm_name') +nx.draw(g_firm, + pos, + labels=node_label, + font_size=6) +edge_label = nx.get_edge_attributes(g_firm, 'product') +edge_label = {(n1, n2): label for (n1, n2, _), label in edge_label.items()} +nx.draw_networkx_edge_labels(g_firm, + pos, + edge_label, + font_size=4) +plt.savefig('g_firm_20230712.png') +plt.close() + +# pos = nx.random_layout(g_firm) +# nx.draw_networkx_nodes(g_firm, pos, node_color = 'r', node_size = 100, alpha = 1) +# ax = plt.gca() +# for e in g_firm.edges: +# ax.annotate("", +# xy=pos[e[0]], xycoords='data', +# xytext=pos[e[1]], textcoords='data', +# arrowprops=dict(arrowstyle="->", color="0.5", +# shrinkA=5, shrinkB=5, +# patchA=None, patchB=None, +# connectionstyle="arc3,rad=rrr".replace('rrr',str(0.3*e[2]) +# ), +# ), +# ) +# plt.axis('off') +# plt.show() \ No newline at end of file diff --git a/data/temp.csv b/data/temp.csv new file mode 100644 index 0000000..ba6fa1e --- /dev/null +++ b/data/temp.csv @@ -0,0 +1,6 @@ +equipment_code,equipment_model,equipment_name,is_set,set_level,set_type,set_time,document,product_level,product_type,product_category,firm_name,firm_code,is_supervise,supervise_name,supervise_expertise,supervise_expertise_other,software_set_version,software_lastest_version,supervise_contract_type,is_pred_firm,contact_name,contact_phone,comment,status,is_issued,task_source +1,XXX1,XXX1,,,,,,,,,firm1,,,,,,,,,,,,,,, +1.1,XXX1,XXX1-1,,,,,,,,,firm2,,,,,,,,,,,,,,, +1.2,XXX1,XXX1-2,,,,,,,,,firm2,,,,,,,,,,,,,,, +1.3,XXX1,XXX1-3,,,,,,,,,firm3,,,,,,,,,,,,,,, +1.1.1,XXX1,XXX1-1-1,,,,,,,,,firm4,,,,,,,,,,,,,,, diff --git a/g_bom_20230712.png b/g_bom_20230712.png new file mode 100644 index 0000000000000000000000000000000000000000..3386902450a918f4a57689ba02dae298d2de354c GIT binary patch literal 135469 zcmeEviCa_G_V%&1wXIg10a2i6MMXhH1!ahB5geh40tyBM5tSjJD3K{?y;Wwk7Eyul zs}vCtBcKpvNURJBLaN9lLn4UCm;eF+GJHD>X^{9}vnb~|5d%5h)6qo-Ywy+?h$ zJt)2&C!ICVxt>0AlH#SWtFOCpjphkoU+*(p_4GXd{RLghX*az&2VOn_5Bb`A$DuO_ 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