SQL Pandas DataFrame中的where in子句使用列 [英] SQL where in clause using column in pandas dataframe

问题描述

我有一个带有ID列的pandas数据框.我需要运行另一个sql查询，该查询的'WHERE'子句由上述列中的所有ID决定.

I have a pandas dataframe that has a column of IDs. I need to run another sql query whose 'WHERE' clause is dictated by all of the IDs in the aforementioned column.

例如:

df1 = DataFrame({'IDs' : [1,2,3,4,5,6]})

query = """ Select id, SUM(revenue) AS revenue WHERE id IN (***want df1['IDs'] here***) Group by 1"""

df2 = my_database.select_dataframe(query)

推荐答案

将系列转换为字符串

str = ','.join([str(x) for x in df1['IDs'].tolist()])

str
'1,2,3,4,5,6'

然后，将其插入查询字符串-

And, then insert it into the query string -

qry = "Select id, SUM(revenue) AS revenue WHERE id IN (%s) Group by 1" % str

qry
'Select id, SUM(revenue) AS revenue WHERE id IN (1,2,3,4,5,6) Group by 1'

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