SQL去掉重復 sqlserver 去除重復數據



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SQL去掉重復 sqlserver 去除重復數據

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【SQL去掉重復 sqlserver 去除重復數據】廢話不多說,直接干貨 。
一、oracle去重
1、創建測試數據
create table test_duplicate_removal(c001 number,c002 varchar2(100));insert into test_duplicate_removal values(101, 'aa');insert into test_duplicate_removal values(102, 'aa');insert into test_duplicate_removal values(103, 'aa');insert into test_duplicate_removal values(104, 'bb');insert into test_duplicate_removal values(105, 'bb');insert into test_duplicate_removal values(106, 'cc');insert into test_duplicate_removal values(107, 'cc');insert into test_duplicate_removal values(108, 'dd');
2、使用row_number() over()函數根據C002列去重
創建一個rn列,根據C002進行分組,每個小組內再根據C001的值進行排序 。
select c001,c002, row_number()over(partition by c002 order by c001 desc) rn fromtest_duplicate_removal
通過rn篩選值為1的行,同時也就對C002進行了去重
select * from (select c001,c002, row_number()over(partition by c002 order by c001 desc) rn fromtest_duplicate_removal) t where t.rn=1
二、python的pandas模塊去重方法
1、將數據庫數據導出保存為CSV
2、pandas實現sql里排序函數row_number() over()功能
import pandas as pd# 讀取CSV數據df = pd.read_csv('test_duplicate_removal.csv')print('打印原始數據:')print(df)# 此處等價于sql里的排序函數row_number() over()功能df['RN'] = df['C001'].groupby(df['C002']).rank()print()print('根據C002分組,根據C001組內排序:')print(df)# 去重print()print('去重,篩選RN=1的行:')print(df[df['RN'] == 1])運行結果