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I am getting records as below:
PERIOD LABEL1 LABEL2 LABEL3 LABEL4
-----------------------------------
1 12
1 14
1 11
2 10
2 09
and so on..
I want it like below:
PERIOD LABEL1 LABEL2 LABEL3 LABEL4
-----------------------------------
1 12 14 11
2 10 09
Hope its clear.
If you only have positive values, you can use a mix of nvl and max:
select period,
max(nvl(label1, 0)) label1,
max(nvl(label2, 0)) label2,
max(nvl(label3, 0)) label3,
max(nvl(label4, 0)) label4
from my_table
group by period;
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So let's say we have a table called phone.
and i need another column to show the average cost of a brand phone
I know i can do something like this:
SELECT brand, AVG (cost)
FROM Phone
GROUP BY brand;
and get something like this table:
Can someone help me how i would get this result below using a select sql statement?
You can use avg(cost) over (partition) such as this:
select *,
round(avg(cost) over (partition by brand), 2) as avg_cost
from phone;
phoneid
brand
cost
avg_cost
2
apple
8
10.00
6
apple
12
10.00
3
google
7
6.50
4
google
6
6.50
1
samsung
10
9.33
5
samsung
4
9.33
7
samsung
14
9.33
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Can anyone suggest me how to sort the dates in Pandas? I tried some methods but couldn't able to get desired result
Index Date Confirmed
0 01-01-2020 2
1 01-02-2020 3
2 01-03-2020 1834
3 02-01-2020 23
4 02-02-2020 3
5 02-03-2020 5
First convert column type to datetime using pd.to_datetime then sort using pd.DataFrame.sort_values and then reset index.
df.Date = pd.to_datetime(df.Date, dayfirst=True)
df = df.sort_values('Date').reset_index(drop=True)
df
Date Confirmed
0 2020-01-01 2
1 2020-01-02 23
2 2020-02-01 3
3 2020-02-02 3
4 2020-03-01 1834
5 2020-03-02 5
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I have a table with 1 column:
id
1
2
3
4
5
6
7
8
9
and I want the following output:
11
22
33
41
52
63
71
82
93
I am using Oracle.
you can try like below using case when
select case when (id*11)<=33 then (id*11)
when (id*11)>33 and (id*11)<70 then (id*11)-3
else (id*11)-6 end as col
from your_table
demo link
output
COL
11
22
33
41
52
63
71
82
93
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I want to make this Query into a Linq Query:
Select name,sum(qty) as qty from tblCars groub by name
Table:
Name | Qty
Ferrari 1
Nissan 2
Ferrari 2
Honda 3
Honda 1
Name | Qty
Ferrari 3
Nissan 2
Honda 4
I want to be able to achieve that using an array or list in VB.net and Linq.
tblCars.GroupBy(Function(x) x.Name).Select(Function(x) New With {.Name = x.Key, .Sum = x.Sum(Function(s) s.qty)})
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Let suppose there four entries in table as shown below.I want only Row 1 and 2 in resultset.
The vice versa case of 1 and 2 in Row 3 and 4 should be excluded. Please suggest a query for that
Pk Col1 Col2 Col3 Col4
1 A B 20 30
2 E D 40 50
3 B A 20 30
4 D E 40 50
WHERE Col1 < Col2 immediately comes to mind. Actually, that would give you rows 1 and 4, but I presume that's good enough for yuor purposes.