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我对一般编程比较陌生（商业分析学生转为数据分析师），我正在测试一个 python 脚本来迭代 csv 行并为每一行构建一个密码查询以加载到 neo4j -

import pandas as pd
from neo4j import GraphDatabase

pd.set_option('display.max_colwidth', -1)

# neo4j credentials
uri= "bolt://localhost:7687"
userName= "neo4j"
password= "password"


df = pd.read_csv('C://Users/ABC/Documents/Test/Test/lineage_stored_procedure_dedup.csv', 
                 sep=',', index_col=None, header=0,usecols=[0,1,2,3,4,5])

df.columns.str.replace(' ', '')

graphDB_Driver  = GraphDatabase.driver(uri, auth=(userName, password))

with graphDB_Driver.session() as graphDB_Session:
    for row in df.iterrows():
        cq = 'merge (p:Program{programName:"'+df['Parent_Procedure']+'"}) set p.type = "'+df['Parent_Object_Type']+'"'
        res = graphDB_Session.run(cq)

graphDB_Driver.close()

我收到以下错误 -

Traceback (most recent call last):

  File "<ipython-input-91-01ba397763e3>", line 1, in <module>
    runfile('C:/Users/ABC/Documents/Test/Test/StoredProcLoadScript.py', wdir='C:/Users/ABC/Documents/Test/Test')

  File "C:\Users\ABC\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
    execfile(filename, namespace)

  File "C:\Users\ABC\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "C:/Users/ABC/Documents/Test/Test/StoredProcLoadScript.py", line 35, in <module>
    res = graphDB_Session.run(cq)

  File "C:\Users\ABC\Anaconda3\lib\site-packages\neo4j\__init__.py", line 429, in run
    if not statement:

  File "C:\Users\ABC\Anaconda3\lib\site-packages\pandas\core\generic.py", line 1555, in __nonzero__
    self.__class__.__name__

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

我了解该错误意味着我没有按照 pandas 文档使用正确的按位运算符。但我不明白我什至需要在代码中从哪里开始使用它？感谢任何和所有的帮助。谢谢你。

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1 回答 1

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#Connect to the neo4j database server
graphDB_Driver  = GraphDatabase.driver(uri, auth=(userName, password))

#CREATE NODES (:Program{Parent_Procedure}) set property 'type' = Parent_Object_Type 

with graphDB_Driver.session() as graphDB_Session:
    for index, row in df.iterrows():
        cq1 = 'merge (p:Program{programName:"'+row["Parent_Procedure"]+'"}) set p.type = "'+row["Parent_Object_Type"]+'"'
#Execute the Cypher query
        res1 = graphDB_Session.run(cq1)
        print(res1)
#CREATE NODES (:Program{Called_Procedure}) set property 'type' = Called_Object_Type 
    for index, row in df.iterrows():
        cq2 = 'merge (p:Program{programName:"'+row["Called_Procedure"]+'"}) set p.type = "'+row["Called_Object_Type"]+'"'
#Execute the Cypher query
        res2 = graphDB_Session.run(cq2)
        print(res2)

#Create relationship - (Parent_Procedure)-[:CALLS_TO]->(Called_Procedure)
    for index, row in df.iterrows():
        cq3 = 'match (p1:Program{programName:"'+row["Parent_Procedure"]+'"}) match (p2:Program{programName:"'+row["Called_Procedure"]+'"}) merge (p1)-[:CALLS_TO]->(p2)'
#Execute the Cypher query
        res3 = graphDB_Session.run(cq3)
        print(res3)        

graphDB_Driver.close()
于 2020-02-26T16:21:30.373 回答