问具有不同类型节点的图

EN

df = pd.DataFrame({
'id_emp':[13524791000109, 12053850000137, 4707821000113],
'name_emp': [
    'JL Consultores',
    'GRAAL OURINHOS',
    'SOJA COMERCIO DE DERIVADOS DE PETROLEO LTDA'
],
'name_dep': [
    'DIONILSO MATEUS MARCON',
    'JOSE AUGUSTO ROSA',
    'LUCIO ANTONIO MOSQUINI'
],
'donnated_value': [ 750.00, 5000.00, 27350.00],
'donnated_amount': [1,1,1],
'reimbursed_value':[36000.00,410.55, 241.22],
'amount_reimbursed': [1,2,1],
'roi':[4800.00, 8.21,0.88]
})

# Create graph
G = nx.Graph()
# Add id_emp nodes
G.add_nodes_from(df['id_emp'])
# Set 'name_emp' attribute for 'name_emp' column values
for node in G.nodes:
   G.nodes[node]['name_emp'] = df.loc[df['id_emp'] == node]['name_emp'].values[0]
# Add name_dep nodes
G.add_nodes_from(df['name_dep'])
# Create the new column with transformed 'roi' values
df['roi_new'] = df['roi'].apply(
lambda x: 1 if x < 100 else 2 if 100 <= x < 1000 else 3)
# Add weighted edges
G.add_weighted_edges_from(df[['id_emp', 'name_dep', 'roi_new']].values)