I have problem while assigning the Ranks for the below scenarios.In my scenario running total calculated based on the Cnt field.
My sql query should return Rank values like below output. Per page it should accept only 40 rows, so im assigning ranks contain only 40 records. If the running total crossing 40 it should change ranks. For each count 40 it should change the rank values.
It would great help if I can get sql query to return values
select f1,f2,sum(f2) over(order by f1) runnign_total
from [dbo].[Sheet1$]
OutPut:
ID cnt Running Total Rank
1 4 4 1
2 5 9 1
3 4 13 1
4 4 17 1
5 4 21 1
6 5 26 1
7 4 30 1
8 4 34 1
9 4 38 1
10 4 42 2
11 4 46 2
12 4 50 2
13 4 54 2
14 4 58 2
15 4 62 2
16 4 66 2
17 4 70 2
18 4 74 2
19 4 78 2
20 4 82 3
21 4 86 3
22 4 90 3
select f1,f2,sum(f2) over(order by f1) running_total, Floor(sum(f2) over(order by f1) / 40) [rank]
from [dbo].[Sheet1$]
Related
I currently have a table with data like below.
How would I go about grouping by HeaderId and get the distinct HeaderId where it contains multiple specified items?
An example is to return which HeaderId contains NTNB and NMPTN locations. I use the SQL below and then use C# to manually check if they are the same HeaderId .
SELECT DISTINCT([HeaderId]) FROM [dbo].[timings] WHERE Location = 'NTNB'
SELECT DISTINCT([HeaderId]) FROM [dbo].[timings] WHERE Location = 'NMPTN'
An expected outcome looking for distinct HeaderId's containing NTNB and NMPTN for the data below would be 4.
HeaderId Ordinal Location
3 0 KRKYLEJ
3 1 IRNVLJN
3 2 LGML
3 3 TRWLJN
3 4 STAPLFD
3 5 TOTODSL
4 0 CREWBHM
4 1 CREWBHJ
4 2 MADELEY
4 3 NTNB
4 4 STAFFRD
4 5 STAFTVJ
4 6 WHHSJN
4 7 COLWICH
4 8 RUGLYNJ
4 9 RUGL
4 10 LCHTNJ
4 11 AMNGTNJ
4 12 NNTN
4 13 RUGBTVJ
4 14 RUGBY
4 15 HMTNJ
4 16 LNGBKBY
4 17 NMPTN
4 18 HANSLPJ
4 19 MKNSCEN
4 20 DNBGHSJ
4 21 BLTCHLY
4 22 LEDBRNJ
4 23 TRING
4 24 BONENDJ
4 25 WATFDJ
4 26 HROW
4 27 WMBY
4 28 WLSDNBJ
4 29 HARLSJN
4 30 WLSDWLJ
4 31 CMDNJN
4 32 CMDNSTH
4 33 EUSTON
4 34 CMDNSTH
4 35 CMDNJN
4 36 QPRKAC
Aggregate by the HeaderId and then assert that both locations are present:
SELECT HeaderId
FROM timings
WHERE Location IN ('NTNB', 'NMPTN')
GROUP BY HeaderId
HAVING MIN(Location) <> MAX(Location)
In a local SQLite (vs 3.29.0) database, there is a table with 3 columns (excluding the rowID). Two contain values, and one contains categories. I want to update the category based on a range around the values of one specific category. It needs to be possible that the category that is SET is the same category as the one that determines the range.
Example:
id
Value
Value2
Category
1
20
20
2
2
30
30
2
3
40
40
2
4
70
70
2
5
5
5
1
6
19
19
1
7
26
26
1
8
42
42
1
9
49
49
1
10
52
52
1
11
71
71
1
12
90
90
1
13
17
17
1
I want rows to be changed to category 2, based on a range of 4 around value and a range of 2 around value2. This should change only rows 6, 9 and 11:
id
Value
Value2
Category
1
20
20
2
2
30
30
2
3
40
40
2
4
70
70
2
5
5
5
1
6
19
19
2
7
26
26
1
8
42
42
2
9
49
49
1
10
52
52
1
11
71
71
2
12
90
90
1
13
17
17
1
My current SQL statement is:
UPDATE tablename
SET Category = 2
WHERE (Category != 2
AND EXISTS (
SELECT *
FROM tablename t
WHERE t.Category = 2
AND tablename.Value BETWEEN t.Value - 4 AND t.Value + 4
AND tablename.Value2 BETWEEN t.Value2 -2 AND t.Value2 +2)
);
of which the result is:
id
Value
Value2
Category
1
20
20
2
2
30
30
2
3
40
40
2
4
70
70
2
5
5
5
1
6
19
19
2
7
26
26
1
8
42
42
2
9
49
49
1
10
52
52
1
11
71
71
2
12
90
90
1
13
17
17
2
What appears to be happening is that due to row 6 changing to category 2, row 13 is now within range of the values of a row that is in category 2, and therefore is also assigned category 2. How do I change the statement so that the SET is only applied to the values that were within range initially?
See the demo for the example.
If your version of SQLite is 3.33.0+ you can use the join-like UPDATE...FROM syntax to perform a self join in the UPDATE statement:
UPDATE tablename AS t1
SET Category = t2.Category
FROM tablename AS t2
WHERE t2.Category = 2
AND t1.Category <> t2.Category
AND t1.Value BETWEEN t2.Value - 4 AND t2.Value + 4
AND t1.Value2 BETWEEN t2.Value2 - 2 AND t2.Value2 + 2;
For previous versions of SQLite, first create a temporary table with all the rows of the table with Category = 2:
CREATE TEMPORARY TABLE t AS
SELECT * FROM tablename WHERE Category = 2;
and then update the table:
UPDATE tablename
SET Category = 2
WHERE Category <> 2
AND EXISTS (
SELECT 1
FROM t
WHERE tablename.Value BETWEEN t.Value - 4 AND t.Value + 4
AND tablename.Value2 BETWEEN t.Value2 -2 AND t.Value2 + 2
);
See the demo.
How to solve same problem in this link Sum of group but keep the same value for each row in r using pandas?
I can generate separate df have the sum for each group and then merge the generated df with the original.
You can use groupby & transform as below to get your output.
df['sumx']=df.groupby(['ID', 'Group'],sort=False)['x'].transform(sum)
df['sumy']=df.groupby(['ID', 'Group'],sort=False)['y'].transform(sum)
df
output
ID Group x y sumx sumy
1 1 1 1 12 3 25
2 1 1 2 13 3 25
3 1 2 3 14 3 14
4 3 1 4 15 15 48
5 3 1 5 16 15 48
6 3 1 6 17 15 48
7 3 2 7 18 15 37
8 3 2 8 19 15 37
9 4 1 9 20 30 63
10 4 1 10 21 30 63
11 4 1 11 22 30 63
12 4 2 12 23 12 23
I would like to omit the first row and keep x consecutive rows.
in the example below i would like to keep 7. How do i achieve this?
df = pd.Series(range(1,101)).to_frame()
df.columns = ['numbers']
df['numbers'][1::7]
1 2
8 9
15 16
22 23
29 30
36 37
43 44
50 51
57 58
64 65
71 72
78 79
85 86
92 93
99 100
I would like to keep the values below but continue to the next row sequence.
so remove 1 then keep 2 to 7. then remove 8 and keep 9 to 14
df = pd.Series(range(1,101)).to_frame()
df.columns = ['numbers']
df['numbers'][1:7]
1 2
2 3
3 4
4 5
5 6
6 7
Or loc:
df.loc[df.index % 7 != 0]
giving
numbers
1 2
2 3
3 4
4 5
5 6
6 7
8 9
9 10
10 11
11 12
12 13
13 14
15 16
16 17
... ...
drop
df.drop(df.index[::7])
numbers
1 2
2 3
3 4
4 5
5 6
6 7
8 9
9 10
10 11
11 12
12 13
13 14
15 16
16 17
17 18
18 19
.. ...
Good Day All,
I need assistance in an creating an update query that groups my data.
The data in my table is actually spatial in nature and can be thought of a matrix that is 10 columns by 5 rows. I have the ObjectID, Row and Column but I want the column DesiredResult which is a 2x2 grouping of the rows & columns.
So the R,Cs of 1,1 1,2, 2,1 and 2,2, will have a DesiredResult of 1 while the 1,3 1,4 2,3 2,4 will have a DesiredResult of 2 and so on (see below for an example) ....
I was able to create the R and C columns using a combination of Quotient & Mod so I assume I would do somethign similar but I am stuck. How would I go about this query in MS Access ?
ObjectID R C DesiredResult
1 1 1 1
2 1 2 1
3 1 3 2
4 1 4 2
5 1 5 3
6 1 6 3
7 1 7 4
8 1 8 4
9 1 9 5
10 1 10 5
11 2 1 1
12 2 2 1
13 2 3 2
14 2 4 2
15 2 5 3
16 2 6 3
17 2 7 4
18 2 8 4
19 2 9 5
20 2 10 5
21 3 1 6
22 3 2 6
23 3 3 7
24 3 4 7
25 3 5 8
26 3 6 8
27 3 7 9
28 3 8 9
29 3 9 10
30 3 10 10
31 4 1 6
32 4 2 6
33 4 3 7
34 4 4 7
35 4 5 8
36 4 6 8
37 4 7 9
38 4 8 9
39 4 9 10
40 4 10 10
41 5 1 11
42 5 2 11
43 5 3 12
44 5 4 12
45 5 5 13
46 5 6 13
47 5 7 14
48 5 8 14
49 5 9 15
50 5 10 15
Something like ... ?
SELECT a.Row, a.Col, Col\2 AS D1, Col Mod 2 AS D2, [D1]+[D2] AS Desired
FROM table AS a
ORDER BY a.Row, a.Col;
Remou had a close approximation but it turns out this gives me what I need. I needed both a row and a column index.
SELECT ObjectID, R, C,
Int(([C]-1)/2) AS ColIndex,
Int(([R]-1)/2) AS RowIndex,
[RowIndex]*5+[ColIndex]+1 AS DesiredResult
FROM Testing
ORDER BY ObjectID
The key in the query is that there is the number 2 in both the Column & Row Index (which is the grouping size) and the number 5 is used in Desired Result and represents the Number of Row cells.
Thanks !