i want to add +2 days to column based on other column i use this table :
Company Type Joinning Date Starting day
1 1 19/01/2019
2 0 19/01/2019
3 0 19/01/2019
4 1 20/01/2019
5 0 20/01/2019
6 1 21/01/2019
i want to add +2 DAYS in column Starting day which is Joining day + 2 days if the company have type 1 how can i do it ?
What i've tried ?
pic
Desired Results
Company Type Joinning Date Starting day
1 1 19/01/2019 21/01/2019
2 0 19/01/2019
3 0 19/01/2019
4 1 20/01/2019 22/01/2019
5 0 20/01/2019
6 1 21/01/2019 23/01/2019
Just to show my comment of:
=IF(B2=1,C2+2,"")
Works. The output cell must be formatted in the desired method:
Related
I am making a table up that will sum all matches of a company found within a specific time period. I need to also exclude certain months if they are inserted into a cell as mm/yy. Excluding one month is fine but when i type 10/22, 11/22, it will sum everthing. THe below code is what i am using with U$4 being the end of a month minus the tracking period which is 90 days. Note that the Raw Data that it is reading from only goes to end of November.
=IF([#[Company Name]]="","",SUM(IF(ISNUMBER(SEARCH([#[Company Name]],RawData[Description]))=TRUE,IF(RawData[Home]=XLOOKUP($D$1,HomeList[Home Code],HomeList[Home]),IF(RawData[Source]="Spend Money",IF(RawData[Date]<=U$4,IF(RawData[Date]>=U$4-[#[Tracking period (Days)]],1,0)))))))
With one date inserted which is correct:
28/Feb 31/Mar 30/Apr 31/May 30/Jun 31/Jul 31/Aug 30/Sep 31/Oct 30/Nov 31/Dec 31/Jan
Exclude Company Name Tracking period (Days) Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 7 Month 8 Month 9 Month 10 Month 11 Month 12
11/22 CLH 90 0 0 0 0 0 0 0 1 2 2 1 0
With multiple months inserted which is incorrect:
28/Feb 31/Mar 30/Apr 31/May 30/Jun 31/Jul 31/Aug 30/Sep 31/Oct 30/Nov 31/Dec 31/Jan
Exclude Company Name Tracking period (Days) Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 7 Month 8 Month 9 Month 10 Month 11 Month 12
10/22,11/22 CLH 90 0 0 0 0 0 0 0 2 3 8 6 5
Expected if multiple months as it has found one match for September so counts it
28/Feb 31/Mar 30/Apr 31/May 30/Jun 31/Jul 31/Aug 30/Sep 31/Oct 30/Nov 31/Dec 31/Jan
Exclude Company Name Tracking period (Days) Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 7 Month 8 Month 9 Month 10 Month 11 Month 12
10/22,11/22 CLH 90 0 0 0 0 0 0 0 1 1 1 0 0
Had to use MATCH with the TEXTSPLIT for it to work
=IF([#[Company Name]]="","",SUM(IF(ISNUMBER(SEARCH([#[Company Name]],RawData[Description]))=TRUE,IF(RawData[Home]=XLOOKUP($D$1,HomeList[Home Code],HomeList[Home]),IF(RawData[Source]="Spend Money",IF(RawData[Date]<=S$4,IF(RawData[Date]>=S$4-[#[Tracking period (Days)]],IF(ISNUMBER(MATCH(RawData[Find Date],TEXTSPLIT([#Exclude],","),)),0,1))))))))
I have this python code:
counting_bach_new = counting_bach.groupby(['User Name', 'time_diff', 'Logon Time']).size()
print("\ncounting_bach_new")
print(counting_bach_new)
...getting this neat result:
counting_bach_new
User Name time_diff Logon Time
122770 -132 days +21:38:00 1 1
-122 days +00:41:00 1 1
123526 -30 days +12:04:00 1 1
-29 days +16:39:00 1 1
-27 days +18:16:00 1 1
..
201685 -131 days +21:21:00 1 1
202047 -106 days +10:14:00 1 1
202076 -132 days +10:22:00 1 1
-132 days +14:46:00 1 1
-131 days +21:21:00 1 1
So how do I add new column that adds and sums counts from existing column? The rightmost column with 1's should be disregarded, while I--on the other hand--would like to add a new column, summing up counts of 'time diff's per 'User Name', i.e. the result in the new col should sum # of observations listed per user. Either summing up # of time_diffs or Logon Time's. For User Name 122770 the new col should sum up to 2, for 123526 it should sum up to 3, and so on....
I tried several attempts, including (but not working)...
counting_bach_new.groupby('User Name').agg(MySum=('Logon Time', 'sum'), MyCount=('Logon Time', 'count'))
Any help would be appreciated. Thank you, for your kind support. Christmas Greetings from #Hubsandspokes
Use DataFrame.join with Series.reset_index:
df = (counting_bach_new.to_frame('count')
.join((counting_bach_new.reset_index()
.groupby('User Name')
.agg(MySum=('Logon Time', 'sum'),
MyCount=('Logon Time', 'count'))), on='User Name'))
print (df)
count MySum MyCount
User Name time_diff Logon Time
122770 -132 days +21:38:00 1 1 2 2
-122 days +00:41:00 1 1 2 2
123526 -30 days +12:04:00 1 1 3 3
-29 days +16:39:00 1 1 3 3
-27 days +18:16:00 1 1 3 3
201685 -131 days +21:21:00 1 1 1 1
202047 -106 days +10:14:00 1 1 1 1
202076 -132 days +10:22:00 1 1 3 3
-132 days +14:46:00 1 1 3 3
-131 days +21:21:00 1 1 3 3
If I understand the request correctly, try:
counting_bach_new.reset_index().groupby(['User Name'])['Logon Time'].count()
If you need to save starting number of columns, try:
counting_bach_new.reset_index().groupby(['User Name'])['Logon Time'].transform('count')
In excel I have a dataset. This represents how much stock of 2 products is sold in the first, second, third, etc... month of the product being on the shelves (starts in A1):
Month 1 2 3 4 5 6 7 8 9 10 11 12
Product 1 3 5 2 1 6 1 2 4 7 2 1 5
Product 2 2 1 5 6 2 8 2 1 2 3 4 9
However, the first product sales do not always occur in month 1. They occur in month X. Is there a way (not VBA or copy and paste) of shifting the entries right by 'x' so they align with the month.
Example for data above
Product 1 starts in month 2
Product 2 starts in month 5
Month 1 2 3 4 5 6 7 8 9 10 11 12
Product 1 0 3 5 2 1 6 1 2 4 7 2 1 5
Product 2 0 0 0 0 2 1 5 6 2 8 2 1 2 3 4 9
*0 not required (great if possible), but more for illustration
Thanks
I have created a simple example that does the same job. The shown formula is copied over the shown cells in the row of new data. (The number '2' in the formula refers to the column number of the starting data cell which is column B, hence 2.)
I need to produce a total value for each month of the year from a generated report. Data is split into colunms one with a value you the other with a date.
I need to return a total for each month.
Data is output as such:
100 21/01/2019
200 21/06/2019
150 01/01/2019
300 14/09/2019
8 08/05/2019
I need it to return as
1 2 3 4 5 6 7 8 9 10 11 12
250 0 0 0 8 200 0 0 300 0 0 0
With a further column for the following year. The original data and dates can be removed as this can be reproduced when running the next report.
You could try the below:
Add a helper column next to you date to get the month of the date:
=MONTH(B3)
and use:
=SUMPRODUCT(($C$3:$C$7=F2)*($A$3:$A$7))
Results:
In Excel, I have an hours log that looks like this:
PersonID Hours JobCode
1 7 1
1 6 2
1 8 3
1 10 1
2 5 3
2 3 5
2 12 2
2 4 1
What I would like to do is create a column with a running total, but only within each PersonID so I want to create this:
PersonID Hours JobCode Total
1 7 1 7
1 6 2 13
1 8 3 21
1 10 1 31
2 5 3 5
2 3 5 8
2 12 2 20
2 4 1 24
Any ideas on how to do that?
In D2 and fill down:
=SUMIF(A$2:A2,A2,B$2:B2)
Assuming that your data starts in cell A1, this formula will accumulate the hours until it finds a change in person ID.
=IF(A2=A1,D1+B2,B2)
Put the formula in cell D2, and copy down for each row of your data.