DEC 4 DEC 5 SPORT LIFE $31.49
DEC 25 DEC 28 BESTBUY EGIFTCARD 877-850-1977 $35.00
I want to have columns 2 as:
DEC 4
DEC 25
Column 3 as:
DEC 5
DEC 28
Edit: I have uploaded the image. I want to somehow achieve column B and C.
Notice that sometimes date is DEC 4 or could be DEC 14.
(Ignore the period. I did that to quickly not have auto format)
And yes, date is always first 2 groups.
Put this in B1 and copy over one column and down the length of the data:
=TRIM(MID(SUBSTITUTE($A1," ",REPT(" ",99)),(COLUMN(A:A)-1)*198+1,198))
Related
So I have the Edition Column which contains data in unevenly pattern, as some have ',' followed by the date and some have ',-' pattern.
df.head()
17 Paperback,– 1 Nov 2016
18 Mass Market Paperback,– 1 Jan 1991
19 Paperback,– 2016
20 Hardcover,– 24 Nov 2018
21 Paperback,– Import, 4 Oct 2018
How can I extract the date to a separate column. I tried using str.split() but can't find specific pattern to extract.Is there any method I could do it?
obj = df['Edition']
obj.str.split('((?:\d+\s+\w+\s+)?\d{4}$)', expand=True)
or
obj.str.split('[,–]+').str[0]
obj.str.split('[,–]+').str[-1] # date
Try using dateutil
from dateutil.parser import parse
df['Dt']=[parse(i, fuzzy_with_tokens=True)[0] for i in df['column']]
I have the following report:
Id Product Revenue Month
1 A 302 jan
1 A 342 feb
1 A 133 mar
For this report, I need to find the difference in revenues for months, i.e difference in revenue from Jan to Feb and feb to march.
I want to add another column like this:
Id Product Revenue Month Profit
1 A 302 jan
1 A 342 feb 40
1 A 142 mar -200
I can write a case statement for it and create a Calculated field but I don't know how to refer the rows to do my subtraction. Can someone help me with this.
What happens when you try running-difference([Revenue])?
I need a formula that will SUM the amount of, let's say, animal types AS OF DATE given WITHOUT adding the previous animal type count, only for the closest date prior to or on the AS OF DATE. Different animal types maybe added to or taken away. So list is not set.
I prefer not to do this in VBA or with a Pivot Table, But any help will be appreciated.
A B C
DATE ANIMAL TYPE COUNT
JAN 01 DOG 1
JAN 02 CAT 2
JAN 04 Fish 1
JAN 12 DOG 2
JAN 20 CAT 3
FEB 01 PIG 1
FEB 02 CAT 2
AS OF DATE TOTAL ANIMALS
JAN 03 3
JAN 13 5
JAN 21 6
FEB 01 7
FEB 02 6
So.
As of Jan 03, there was 3 animals total. 1 Dog and 2 cats.
As of Jan 13, there was 5 animals total. 2 Dogs, 1 Fish and 2 Cats,,,,,, NOT 6
As of Jan 21, there was 6 animals total. 2 Dogs, 1 Fish and 3 Cats,,,,,, NOT 9
As of Feb 01, there was 7 animals total. 2 Dogs, 1 Fish 1 Pig and 3 Cats, NOT 10
So far this is what I have. By using a helper column to filter the Animal Types I get a list without duplicates. Then I put that in a cell with Data Validation to pick the Type. Same for the Dates. However I would like to drop the Type input and just choose the Date. And be able to get a total.
Here is what works but not what I need.
=SUMIFS(TabData1[Count],TabData1[Date],MAX(IF(TabData1[Animal Type]=$G$2,IF(TabData1[Date]<=$F$2,TabData1[Date]))))
I want to do away with the Single Cell reference ($F$2) of a single Animal Type and replace it with a Range to get the latest count of Animals for all Animal Types as of a certain date. Like this but this does not work.
=SUMIFS(TabData1[Count],TabData1[Date],MAX(IF(TabData1[Animal Type]=(OFFSET($J$2,0,0,COUNT(IF(ListAnimalType="","",1)),1)),IF(TabData1[Date]<=$F$2,TabData1[Date]))))
To simplify (OFFSET($J$2,0,0,COUNT(IF(ListAnimalType="","",1)),1)) you can use $J$2:$J$5
=SUMIFS(TabData1[Count],TabData1[Date],MAX(IF(TabData1[Animal Type]=$J$2:$J$5,IF(TabData1[Date]<=$F$2,TabData1[Date]))))
And it looks like this
=SUMIFS(TabData1[Count],TabData1[Date],MAX(IF({"Dog";"Cat";"Fish";"Dog";"Cat";"Pig";"Cat";0;0;0;0;0;0;0;0;0}={"Cat";"Dog";"Fish";"Pig"},IF(TabData1[Date]<=$F$2,TabData1[Date]))))
Like I said, I want one formula that will take each Animal Type find the latest date from a specified cell and return the sum for each Animal Type then sum them all up.
I have 8 sheets of data (from Dec 2014 to July 2015, separated month wise). Each sheet contains monthly data (e.g. Dec 2014 sheet contains data of dec 2014 in three columns namely AC #, Name, Amount).
Dec 2014 Contains Data as Mentioned Below:
A/C # Name Dec 2014
A12 ABC 100
A13 CBA 200
A14 BCA 300
Whereas January 2015 contains data as below
A/C # Name Dec 2014
A12 ABC 5
A13 CBA 300
*A15 IJK 900*
All sheets contains mostly same data but some additional data based on customers added in that month or amount. E.g. January 2015 may contain an additional client a/c #, name and amount of January 2015 as marked above.
I want a consolidated sheet of data where all data is arranged as below:
A/C # Name Dec 2014 Jan 2015 Feb 2015 Mar 2015 Apr 2015
A12 ABC 100 5
A13 CBA 200 300
A14 BCA 300 0
A15 IJK 0 900
I would suggest connecting to the worksheets using ADODB. Then you can issue an SQL statement that will merge the records together.
This could be run from a VBScript, or from Excel.
For a similar strategy, see here.
I have a CSV file that I receive once a week that is in the following format:
"Item","Supplier Item","Description","1","2","3","4","5","6","7","8" ...Linefeed
"","","","Past Due","Day 13-OCT-2014","Buffer 14-OCT-2014","Week 20-OCT-2014","Week 27-OCT-2014", ...LineFeed
"Part1","P1","Big Part","0","0","0","100","50", ...LineFeed
"Part4","P4","Red Part","0","0","0","35","40", ...LineFeed
"Part92","P92","White Part","0","0","0","10","20", ...LineFeed
...
An explanation of the data - Row 2 is dynamic data signifying the date parts are due. Row 3 begins the part numbers with description and number of parts due on a particular date. So looking at the above data: row 3 column7 shows that PartNo1 has 100 parts due on the Week of OCT 20 2014 and 50 due on the Week of OCT 27, 2014.
How can I parse this csv to show the data like this:
Item, Supplier Item, Description, Past Due, Due Date Amount Due
Part1 P1 Big Part 0 20 OCT 2014 100
Part1 P1 Big Part 0 27 OCT 2014 50
Part4 P4 Red Part 0 20 OCT 2014 35
Part4 P4 Red Part 0 27 OCT 2014 40
....
Is there a way to manipulate the format in Excel to rearrange the data like I need or what is the best method to resolve this?