如何将数据帧作为参数传递给Python中的SQL查询? [英] How to pass a data frame as parameter to a SQL query in Python?

问题描述

我有一个由一列值组成的数据框，我想将其作为参数传递来执行以下sql查询:

I have a dataframe that consists of one column of values and I want to pass it as a parameter to execute the following sql query:

query = "SELECT ValueDate, Value"\
        "FROM Table "\
        "WHERE [ID] in ( ? ) "

因此，我尝试了很多其他事情:

So I tried (among so many other things) the following:

      df = pd.read_sql_query(query, conn, params=[ df['ID'].values ])
      df = pd.read_sql_query(query, conn, params=[ df['ID'].tolist ])
      df = pd.read_sql_query(query, conn, params=[ list(df['ID'].values) ])
       ...

传递数据帧值的正确方法是什么?

What is the correct way to pass the dataframe values ?

注意:我使用的是Microsoft SQL Server，因此查询格式需要与我一样设置.

NB: I am using Microsoft SQL Server so the query needs to be formatted as I did.

推荐答案

这能满足您的需求吗?

Does this get you what you need?

import pandas as pd

your_column = pd.Series([1,2,3,4,5,6,7,8,9])

query = "SELECT ValueDate, Value"\
        "FROM Table "\
        "WHERE [ID] in {}".format(tuple(your_column))

print(query)
# 'SELECT ValueDate, ValueFROM Table WHERE [ID] in (1, 2, 3, 4, 5, 6, 7, 8, 9)'

然后，您应该可以在不使用其他参数的情况下进行查询.

Then you should be able to query without further parameters.

df = pd.read_sql_query(query, conn)

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