对 Pandas 数据集执行 SQL 查询 [英] Executing an SQL query over a pandas dataset

问题描述

我有一个名为df"的 Pandas 数据集.

I have a pandas data set, called 'df'.

我该如何做类似下面的事情；

How can I do something like below;

df.query("select * from df")

谢谢.

对于那些知道R的人来说，有一个叫做sqldf的库，你可以在R中执行SQL代码，我的问题基本上是，python中有没有像sqldf这样的库

For those who know R, there is a library called sqldf where you can execute SQL code in R, my question is basically, is there some library like sqldf in python

推荐答案

这不是什么 pandas.query 应该这样做.您可以查看包 pandasql(与 R 中的 sqldf 相同)

This is not what pandas.query is supposed to do. You can look at package pandasql (same like sqldf in R )

import pandas as pd
import pandasql as ps

df = pd.DataFrame([[1234, 'Customer A', '123 Street', np.nan],
               [1234, 'Customer A', np.nan, '333 Street'],
               [1233, 'Customer B', '444 Street', '333 Street'],
              [1233, 'Customer B', '444 Street', '666 Street']], columns=
['ID', 'Customer', 'Billing Address', 'Shipping Address'])

q1 = """SELECT ID FROM df """

print(ps.sqldf(q1, locals()))

     ID
0  1234
1  1234
2  1233
3  1233

---

更新 2020-07-10

更新pandasql

ps.sqldf("select * from df")

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