如何转换以下内容:
+------+---------+------+
| Date | Product | Sold |
+------+---------+------+
| 1/1 | P1 | 100 |
| 1/1 | P2 | 250 |
| 1/1 | P3 | 50 |
| 2/1 | P1 | 170 |
| 2/1 | P2 | 0 |
| 2/1 | P3 | 70 |
+------+---------+------+
进入这样的表:
+------+-----+-----+----+
| Date | P1 | P2 | P3 |
+------+-----+-----+----+
| 1/1 | 100 | 250 | 50 |
| 2/1 | 170 | 0 …我有一张桌子:
+----+-------+------+
| id | times | year |
+----+-------+------+
| 5 | 2 | 2008 |
| 6 | 76 | 2008 |
| 2 | 43 | 2009 |
| 4 | 5 | 2009 |
| 1 | 3 | 2010 |
| 9 | 6 | 2010 |
| 7 | 444 | 2011 |
| 8 | 3 | 2011 |
| 3 | 65 | 2012 |
+----+-------+------+
我想在这个表中创建一个数据库,times每个数据桶都有year:
+--------+------+------+------+------+------+ …例如,当数组是数组中的最高或最低值时.
对于使用2个指针快速排序,1变为左端到右侧,另一个进入右端向左,当在相对于所述枢轴查找元素出来的地方的指针停止,当两个已停止,它们交换元件,并继续在那个位置上.但是,为什么以及如何使用Quicksort O(n ^ 2)进行错误的枢轴选择？
我有一个有3列(SID,SUBJECT,MARKS)的表:
??????????????????????????
? SID ? SUBJECT ? MARKS ?
??????????????????????????
? 1A01 ? ENG ? 66 ?
? 1A02 ? ENG ? 75 ?
? 1A01 ? MATH ? 60 ?
? 1A03 ? ENG ? 73 ?
? 1A02 ? MATH ? 35 ?
? 1A03 ? MATH ? 80 ?
? 1A01 ? CHI ? 65 ?
? 1A02 ? CHI ? 74 ?
? 1A03 ? CHI ? 78 ?
??????????????????????????
我想通过每行中的SID对数据进行分组,如:
???????????????????????????
? SID ? CHI …我有一张这样的桌子.表格1.
Customer Product Value Quantity Order Number
Dave Product 1 15 1 154
Dave Product 2 25 5 154
Dave Product 3 45 4 15
Rob Product 2 222 33 233
现在我想要这个,表2.
Customer Product 1 Quantity Product 1 Value Price per item ( Value /Quantity) for Product 1 Product 2 Quantity Product 2 Value Price per item ( Value /Quantity) for Product 2 Product 3 Quantity Product 3 Value Price per item ( Value /Quantity) for Product 3 Order Number …我有一个从PIVOT表返回数据的过程.我只需要对这些数据进行排序,以便PIVOT按特定顺序显示列.我需要它们按Regions表中的"SortOrder"字段排序.这是我的剧本.我实际上并不需要返回sortorder字段,我只需要按sortorder排序的列.任何帮助表示赞赏
CREATE TABLE #Temp
(
Region VARCHAR(255),
SortOrder INT,
Visible BIT
)
INSERT INTO #Temp
SELECT R.Region, R.SortOrder, CASE WHEN (ISNULL(R_SR.RegionID,0) = 0 AND ISNULL(R_SR_Serv.RegionID,0) = 0) THEN 0 ELSE 1 END AS Visible
FROM ServiceRecord SR
INNER JOIN Sites S ON SR.SiteID = S.SiteID
INNER JOIN Regions R ON R.SiteID = S.SiteID
LEFT OUTER JOIN lkup_Region_ServiceRecord R_SR ON R_SR.RegionID = R.RegionID AND R_SR.ServiceRecordID = SR.ServiceRecordID
LEFT OUTER JOIN lkup_Region_ServiceRecord_Serv R_SR_Serv ON R_SR_Serv.RegionID = R.RegionID AND R_SR_Serv.ServiceRecordID = SR.ServiceRecordID
WHERE …数据:
id data
1 1
1 4
2 2
2 1
3 3
3 2
4 4
4 1
5 5
5 2
我需要转动上面的数据,以便得到以下结果:
id Col1 Col2
1 1 4
2 2 1
3 3 2
4 4 1
5 5 2
我正在尝试以下查询,但列始终为空:
DECLARE @TEMP TABLE (id int,data varchar(200))
INSERT INTO @TEMP VALUES (1,'1')
INSERT INTO @TEMP VALUES (1,'4')
INSERT INTO @TEMP VALUES (2,'2')
INSERT INTO @TEMP VALUES (2,'1')
INSERT INTO @TEMP VALUES (3,'3')
INSERT INTO @TEMP VALUES (4,'2')
INSERT …我正试图调整这个SQL Server表,但是我很难绕过我需要做的事情.我可以做一个基本的支点,但这已经变得非常具有挑战性.我本质上是将下表转换为
Company Code Account Class Period Billings Collections Debtors
--------------------------------------------------------------------------------
500 Accounts Receiveable 1 xx xx xx
500 Accounts Receiveable 2 xxx xx xx
500 Accounts Receiveable 3 xx xx xxx
500 Accounts Receiveable 1 xx xx xx
至
Company Code Account Class 1 2 3
--------------------------------------------------------------------------
500 Accounts Receiveable Billings xx xx xx
500 Accounts Receiveable Collections xxx xx xx
500 Accounts Receiveable Debtors xx xx xxx
我计划在一个数据集和一个列上,然后将表连接到自身,再次执行另一个数据库,但我没有捕获列名.任何建议将不胜感激.
我有一个名为MY_MOVIES的表,有两列:MOVIES和GENRES就像这样(关系是一部电影到很多类型):
GENRE MOVIE
---------- --------------
ACTION MOVIE1
DRAMA MOVIE1
CRIME MOVIE2
DRAMA MOVIE2
CRIME MOVIE3
DRAMA MOVIE3
ACTION MOVIE4
ADVENTURE MOVIE4
FANTASY MOVIE4
ANIMATION MOVIE5
ADVENTURE MOVIE5
COMEDY MOVIE5
该表有超过100000行.
我想要得到这样的输出:
MOVIES GENRES
---------- --------------
MOVIE1 ACTION, DRAMA
MOVIE2 CRIME, DRAMA
MOVIE3 CRIME, DRAMA
MOVIE4 ACTION, ADVENTURE, FANTASY
MOVIE5 ANIMATION, ADVENTURE, COMEDY
我正在尝试使用像这样的PIVOT(有了将0和1替换为类型的想法):
SELECT * FROM MY_MOVIES
PIVOT (COUNT(MOVIE) FOR GENRE in (SELECT DISTINCT(GENRE) FROM MY_MOVIES) as MOVIE_GENRES
我一直以为我做错了.
如何以大熊猫为中心？我无法解决“重复条目”错误。输入和输出应如下所示。
import pandas as pd
input = pd.DataFrame({'measure': ['length','length','length','weight','weight','weight','sex','sex','sex'],
'species': [10, 10, 10, 10, 10, 10, 10, 10, 10],
'value': [1, 2, 3, 13, 45, 123, 0, 1, 1],
'set': [3, 3, 3, 3, 3, 3, 3, 3, 3]})
output = pd.DataFrame({'set': [3,3,3],
'species': [10, 10, 10],
'length': [1, 2, 3],
'weight': [13, 45, 123],
'sex': [0, 1, 1]})
test = input.pivot(index='set',columns='measure', values='value')
print(test)