I'm looking for a formula something like sumif.
Here is the example.
1 A1 289LOT9172
2 A2 289LOT9173
3 A3 289LOT9174
4 B1 1000
5 B2 2000
6 B3 3000
7 C1 289
8 C2 289
9 C3 289
I need the sum of "B" if "C" contains in "A"
Please help.
Try sth like this. It's very simple if method but in this case works.
Do you have more then 3 rows of data?
=IF(ISERROR(FIND(C1,A1)),0,B1)+IF(ISERROR(FIND(C2,A2)),0,B2)+IF(ISERROR(FIND(C3,A3)),0,B3)
Related
I have a df like this:
ID A1 A2 A3 A4 A5
1 1 2 3
2 1 2 3
3 2 1
4 3 1 2
5
For every ID, I have 5 columns A1 to A5 (In real I have many more) and the values are top priority for a particular ID.
For example: ID 1 has A1, A3 and A5 as priorites, , ID 3 has only 2 A2 and A1 and ID 5 has no
Priorities
Resultant DF
ID Priority_1 Priority_2 Priority_3
1 A1 A3 A5
2 A1 A2 A4
3 A2 A1
4 A3 A5 A1
5
I am trying to same using melt and pivot using this and this_1 and many more, but exactly not able to get the same resultant df.
Any help on this or clarity from my side!!
Use DataFrame.melt with sorting by DataFrame.sort_values and removing missing rows by DataFrame.dropna, then add new column used for filtering by boolean indexing and Series.le for less or equal and last use DataFrame.pivot with DataFrame.add_prefix, last add DataFrame.reindex for added only mising rows ID:
N = 3
df1 = df.melt('ID').sort_values(['ID','value']).dropna(subset=['value'])
df1['new'] = df1.groupby('ID').cumcount().add(1)
df1 = df1[df1['new'].le(N)]
df2 = df1.pivot('ID','new','variable').add_prefix('Priority_').reindex(df['ID'])
print (df2)
new Priority_1 Priority_2 Priority_3
ID
1 A1 A3 A5
2 A1 A2 A4
3 A2 A1 NaN
4 A3 A5 A1
5 NaN NaN NaN
in aother words: if cell contains text and another cell contains another text then count the record
let say we have some data in a table1 in sheet1
C1 C2 C3 C4
ST 1 2 3
SR 3 2 1
CE 6 4 3
ST 1 9 3
ST 1 4 3
I want to save the count of records having ST in C1 and 3 in C4
and save it in a cell.
thank you
Put this in an unused cell,
=COUNTIFS(A:A, "ST", D:D, 3)
The issue I'm having was hard to title, and hard to search as well.
Here's some example data.
A B C D E F
B1 04/14/16 746 B1 04/25/16 2
B1 04/15/16 180 B1 04/30/16 4
B1 04/16/16 494 B1 05/01/16 5
B1 04/17/16 726 B2 04/01/16 1
B1 04/18/16 206 B2 04/03/16 1
B1 04/19/16 22 B2 04/04/16 2
B1 04/20/16 193 B2 04/05/16 2
B1 04/21/16 739 B2 04/12/16 8
B1 04/22/16 926 B2 04/13/16 1
B1 04/23/16 748 B2 04/14/16 2
B1 04/24/16 830 B2 04/15/16 1
B1 04/25/16 272 B2 04/18/16 9
B1 04/26/16 0 B2 04/19/16 1
B1 04/27/16 0 B2 04/26/16 9
B1 04/28/16 0 B2 04/27/16 3
B1 04/29/16 0 B2 04/30/16 1
B1 04/30/16 685 B2 05/02/16 5
B1 05/01/16 770 B2 05/03/16 2
B1 05/02/16 701 B3 04/03/16 3
B1 05/03/16 181 B3 04/04/16 1
B2 04/01/16 77 B3 04/06/16 2
B2 04/02/16 182 B3 04/07/16 1
B2 04/03/16 53 B3 04/09/16 1
B2 04/04/16 32 B3 04/16/16 7
What I'm trying to do is check for matching A and D columns, as well as matching B and E columns. If the columns match I would like to take column F and divide by column C.
Also if there is no match for both A and B column values, then have return those values with a zero.
So for a match:
B1 04/25/16 =2/272
For a non-match:
B1 04/14/16 0
Thank you.
Two INDEX/MATCH Function will do it:
=IFERROR(INDEX($F$1:$F$24,MATCH(1,INDEX(($E$1:$E$24=J2)*($D$1:$D$24=I2),),0))/INDEX($C$1:$C$24,MATCH(1,INDEX(($B$1:$B$24=J2)*($A$1:$A$24=I2),),0)),0)
This is an array formula, Full column references should be avoided as the calculation are exponential and will increase the calculation times.
If a more dynamic range is wanted then use this formula:
=IFERROR(INDEX($F$1:INDEX(F:F,MATCH(1E+99,F:F)),MATCH(1,INDEX(($E$1:INDEX(E:E,MATCH(1E+99,F:F))=J2)*($D$1:INDEX(D:D,MATCH(1E+99,F:F))=I2),),0))/INDEX($C$1:INDEX(C:C,MATCH(1E+99,C:C)),MATCH(1,INDEX(($B$1:INDEX(B:B,MATCH(1E+99,C:C))=J2)*($A$1:INDEX(A:A,MATCH(1E+99,C:C))=I2),),0)),0)
This will find the last cell with data and use that to set the extents of the range. So now as the data grows or shrinks it will only look at the data and not iterate through any more or any less than what is needed to cover the entire data set.
Assume the following data:
| A B C
--+------------------------
1 | 2 3 5
2 | 2 3
3 | 4 4
4 | 2 3
5 | 5 6
In cell A6, I want Excel to add cells C1, C2, C3 on the basis that A1, A2 and A3 have data in. Similarly, I want B6 to add together C1, C4 and C5 because B1, B4 and B5 have data.
Can someone help?
In A6 enter:
=SUMPRODUCT(($C1:$C5)*(A1:A5<>""))
and then copy to B6:
A simple SUMIF formula will work
=SUMIF(A$1:A$5,"<>",$C$1:$C$5)
Place that formula is cell A6 and then copy it to B6.
You can create another column, e.g. AValue, with the formula =IF(ISBLANK(A1),0,A1) in it. This will return 0 if the cell in A in the corresponding line is empty, or the value from the cell in A otherwise.
Then you can just sum up the values of the new column.
This is how my data looks like:
C1 C2 C3
1 1 a
2 2 a
3 3 a
4 4 a
7 5 a
8 6 a
9 7 a
10 8 a
9 a
10 b
You see that C1 is a subset of column C2. I want now to extract only the data from C2 - together with the corresponding value from C3 - that matches C1. The extracted data just needs to be copied to another column
Could someone give me a hand?
Assuming your data in C1 starts from A2, do the following:
Type in cell D2 (column C4): =IFERROR(VLOOKUP($A2,$B:$C,1,0),"")
Type in cell E2 (column C5): =IFERROR(VLOOKUP($A2,$B:$C,2,0),"")
Autofill both formulas.
This will give you what you want, missing values will be shown as blanks. If you want concatenate both parts of out - just put the aggregate formula =ISERROR(...)&ISERROR(...) to any column row 2 you like.
Sample file: https://www.dropbox.com/s/qglyxmu3tkfxy7g/DataExtract2Cols.xlsx