I would like add several columns in a Bar Chart in Y with a custom expression. I have several columns which begin with "HB" or "PASS".
Their number change as well as their name every time I refresh the table. But HB or PASS remains in column name.
I tried to use this expression :
Sum($map("[$csearch([pvtable],"PASS*")]",","))/Count([SUBLOT_ID])
or
$map("[$csearch([pvtable],"PASS*")]",","))
If I have only one column with PASS or HB in key word it works, but not if I have several columns with this key words in their name.
It's an example of my datas. They are in percentage.
LOT_ID SUBLOD_ID WL_PART_CNT PASS_HB1 PASS_HB2 HB5 HB10 HB13 HB25
Q640123 01 3841 86 11 0.25 0.5 0.25 2
Q640123 05 3841 96 3 0 1 0 0
Q640123 10 3841 80 12 0 2 4 2
Q640123 16 3841 40 50 1 1 4 4
Q640123 22 3841 85 5 9 0.5 0.5 0
Q640345 01 3841 86 11 0.25 0.5 0.25 2
Q640345 05 3841 96 3 1 0 0 0
Q640345 10 3841 80 12 0 2 4 2
Q640345 16 3841 40 50 1 1 4 4
Q640345 22 3841 85 5 9 0.5 0.5 0
I want to put LOT_ID in X, and PASS together in Y. I don't want to color my bar chart but I would like a result like this. One bar chart with all columns PASS and an other with all columns HB.
This bar chart represent HB.
Thank you for your help, regards, Laurent
You shouldn't need the $map function, only the $csearch
Sum($csearch([pvtable],"PASS*")) /Count([SUBLOT_ID])
EDIT
After looking at your test data, you will need to map the values.
$map("sum([$csearch([pvtable],"PASS*")])","+"),$map("sum([$csearch([pvtable],"HB*")])","+")
Then, on your X-AXIS you will need: <[LOT_ID] NEST [Axis.Default.Names]>
Related
I have typed out an equation that I have dragged it down in a column in my excel table. I think I’m fairly close… and would love some feedback around this.
I want cumulative sum of the first cell $J$3 to the cell row it’s currently on (J53 for example). And I want cumulative sum of the particular cells that meet these conditions (ie… COUNTIF($B$3:B53,B53)*COUNTIF(AC53,1).
I know the Sumif() statement below isn’t correct… but this was as close as I could get!
=IF((COUNTIF($B$3:B53,B53)*COUNTIF(AC53,1)),(SUMIF($J$3:J53,J53)),0)
As shown in the table below
Projectid(B)
successornot(AC)
production(J)
result I want
1
1
20
20
1
1
40
60
1
1
10
70
2
0
20
0
2
0
400
0
3
1
20
20
4
0
1
0
5
0
24
0
6
0
50
0
7
1
10
10
7
1
40
50
7
1
20
70
Give a try on
=IF(B2=0,0,SUMIFS($C$2:$C2,$A$2:$A2,A2,$B$2:$B2,">0"))
Say , Some Values in the 'Counts' column are missing. These numbers are meant to be increased by 10 with each row so '35' and '55' need to be put in place. I would want to fill in these missing values.
Counts
0 25
1 NaN
2 45
3 NaN
4 65
So my output should be :
Counts
0 25
1 35
2 45
3 55
4 65
Thanks,
We have interpolate
df=df.interpolate()
Counts
0 25.0
1 35.0
2 45.0
3 55.0
4 65.0
Since you now the pattern, you can simply recreate it:
start = df.iloc[0]['Counts'] # first row
end = df.iloc[-1]['Counts'] # last row
df['Counts'] = np.where(df['Counts'].notnull(), df['Counts'],
np.arange(start, end + 1, 10))
I have a csv with the following info
Src Rx LinkId Weight
===================================
2 1 4000 10
2 1 4056 15
3 1 4100 10
3 1 4156 15
28 1 10650 8
113 2 15051 205
113 3 15058 205
1 4 3952 9
1 4 3951 5
1 4 3950 34
2 4 4052 9
47 4 18672 44
47 4 18670 38
69 4 4701 11
69 4 4700 21
70 4 4801 11
`
The linkId is unique. Each row represents the link between two devices. For example, source 2 and rx 1 means that a link goes from 2 to 1.
I intend to compute the total weight of all the links originating from each device and coming into each device like so:
Device Out weight In weight
=============================
2 25 205
1 48 58
and so on.
I would like to know if doing this is possible in excel. If yes, how.
Using a pivot table may be the best solution here and I think that if you select this table and click pivot-table it will give you your answer.
Alternatively, you can make a column for each in and out and use =sumif(Src, 1, weight ) and then use the totals at the bottom of each column.
When I create a pivot table from data in Pandas (python), I get an other result than when I create it with Excel. I think this is due to the fact of characters. Someone knows the difference between the pivot table in Pandas and Excel?
I've made this example. I have the excel file 'funds_steven' with following data in 1 column. (column name = Steven_Funds)
Steven_Funds
0 100
1 -58
2 89
3 24
4 -89
5 76
6 -4
7 -180
8 767
9 0
10 0
11 56
12 32
13 0
14 0
15 12
How can I read this in and calculate the sum of the values?
So lets say I have a few numbers in a sheet
a b c d
1 33 53 23 11
2 42 4 83 64
3 75 3 48 38
4 44 0 22 45
5 2 34 76 6
6
7 Total 85
I would like to display those numbers so that the cell value still holds the original figure (A1 = 33)
but the cell displays both the number and a percentage from the total (B7) eg
a b c d
1 33 (39%) 53 (62%) 23 (27%) 11 (13%)
2 42 (49%) 4 (5%) 83 (98%) 64 (75%)
3 75 (88%) 3 (4%) 48 (56%) 38 (45%)
4 44 (52%) 0 (0%) 22 (26%) 45 (53%)
5 2 (2%) 34 (40%) 76 (89%) 6 (7%)
6
7 Total 85
I know how to format a cell as a percentage, but I can't figure out how to display both original values, the calculated percentage value (value/total*100), but not change the cell value so I could still sum the cells in the end (eg. A6 =SUM(A1:A5) = 196)
Does anyone have an idea? I was hoping there could be a way to duplicate and calculate the figure using text formatting, but I can't get anything to work.
I'm guessing this is a trivial answer and maybe not what you're looking for, but why not just add a column for each of the columns you have now?
a a' b b' c c' d d'
1 33 (39%) 53 (62%) 23 (27%) 11 (13%)
2 42 (49%) 4 (5%) 83 (98%) 64 (75%)
3 75 (88%) 3 (4%) 48 (56%) 38 (45%)
4 44 (52%) 0 (0%) 22 (26%) 45 (53%)
5 2 (2%) 34 (40%) 76 (89%) 6 (7%)
6
7 Total 85
#Ari’s answer seems to meet to meet the requirements in your question, not repeat information more than the example you gave for output requirement and be viable for up to around 8000 or so columns to start with (unless a very old version of Excel) and Jerry’s comment is also correct that what you want to achieve the way you want to achieve it is not possible.
However there are other approaches that might be acceptable substitutes. One is to copy your data and Paste Special with Operation Divide, either elsewhere or over the top of your data. If over the top this either shows the values or the percentages otherwise duplicates your data. Over the top would also require something like Operation Multiply to revert back to values, and reformatting each time if to appear as in your example.
Another is to use a PivotTable with some calculated fields and both are shown below:
I appreciate neither is exactly what you are asking for.