I have the following minimal example data (in reality 100's of groups) in range A1:P9 (same data in range A14:A22):
With Sample A1:AR9:
2
61
219
2
4
2
:
61
219
26
26
26
94
21
33
4
26
26
26
94
2
2
:
154
26
40
19
3
2
21
33
14
1
2
3
:
87
39
54
38
26
32
38
26
32
87
39
54
38
26
23
23
4
6
28
2
154
26
2
2
40
19
14
87
39
54
38
26
32
38
26
32
87
39
54
38
26
1
23
2
23
4
4
3
6
20
28
Or Sample A14:AQ22:
2
61
219
2
:
61
219
4
:
26
26
26
94
2
:
21
33
4
26
26
26
94
2
:
154
26
2
:
40
19
3
2
21
33
14
:
87
39
54
38
26
32
38
26
32
87
39
54
38
26
1
:
23
2
:
23
4
:
3
6
20
2
154
26
2
2
40
19
14
87
39
54
38
26
32
38
26
32
87
39
54
38
26
1
23
2
23
4
4
3
6
20
28
I need the output as shown in range Q1:AR3 or as in range Q14:AQ16.
Basically, at each group delimited/inbetween values in Column A, I would need:
The intemediary adjacent values in Column B to be transposed horizontally
And the adjacent content of Columns C to P (14 Columns, at least) to be "joined" together horizontaly an sequencialy "per group", including the content of the delimiter's row (in Column A).
As a bonus it would be really nice to have the Transposed data followed by a :, and each sub Content of Columns C to P to be also separated by a | (as shown in screenshot Q1:AR3 or Q14:AR16).
(Or if it's more feasible, alternatively, the simpler to read 2nd model as in A14:AQ22).
I have a really hard time putting together a formula to come to the expected result.
All I could think of was:
Transposing Column B's content by getting the rows of the adjacent Cells with values in column A,
Concatenating with the Column letter,
Duplicating it in a new column, and Filtering out the blank intermediary cells,
Then shifting the duplicated column 1 cell up,
Then concatenating within a TRANSPOSE formula to get the range of the groups,
Then finally transposing all the groups from Columns B in a new Colum
(very convoluted but I couldn't find better way).
To get to that input:
=TRANSPOSE(B1:B3)
=TRANSPOSE(B4:B5)
=TRANSPOSE(B7:B9)
That was already a very manual and error prone process, and still I could not successfully think of how to do the remaining content joining of Column C to P in a formula.
I tested the following approach but it's not working and would be very tedious process to fix to go and to implement on large datasets:
=TRANSPOSE(B1:B3)&": "&JOIN( " | " , FILTER(C1:P1, NOT(C2:P2 = "") ))&JOIN( " | " , FILTER(C2:P2, NOT(C2:P2 = "") ))&JOIN( " | " , FILTER(C43:P3, NOT(C3:P3 = "") ))
=TRANSPOSE(B4:B5)&": "&JOIN( " | " , FILTER(C4:P4, NOT(C4:P4 = "") ))&JOIN( " | " , FILTER(C5:P5, NOT(C5:P5 = "") ))
=TRANSPOSE(B6:B9)&": "&JOIN( " | " , FILTER(C6:P6, NOT(C6:P6 = "") ))&JOIN( " | " , FILTER(C7:P7, NOT(C7:P7 = "") ))&JOIN( " | " , FILTER(C8:P8, NOT(C8:P8 = "") ))&JOIN( " | " , FILTER(C8:P8, NOT(C9:P9 = "") ))
What better approach to favor toward the expected result? Preferably with a Formula, or if not possible with a script.
Any help is greatly appreciated.
For Sample 1 try this out:
=LAMBDA(norm,MAP(UNIQUE(norm),LAMBDA(ζ,{TRANSPOSE(FILTER(B1:B9,norm=ζ)),":",SPLIT(BYROW(TRANSPOSE(FILTER(BYROW(C1:P9,LAMBDA(r,TEXTJOIN("ζ",1,r))),norm=ζ)),LAMBDA(rr,TEXTJOIN("γ|γ",1,rr))),"ζγ")})))(SORT(SCAN(,SORT(A1:A9,ROW(A1:A9),),LAMBDA(a,c,IF(c="",a,c))),ROW(A1:A9),))
I have been capturing some data from an Epson TM-T88V esc/pos printer to see how they are doing things in the windows driver. I have encountered a few undocumented commands. Does anyone know what these commands do?
I have checked the various Application Programming guides, the online ESC/POS Command Reference for TM Printers, and Googled the heck out of the commands and have not been able to find any references.
Command 1:
[Format]
ASCII ESC ( s pL pH d1 d2 d3 d4
Hex 1b 28 73 04 00 31 41 ?? ??
Decimal 27 40 114 4 0 40 73 ?? ??
[Response]
7b 20 41 35 33 35 34 34 44 34 45 34 44 34 41 34 42 35 30 00
[Notes]
The Response looks like a 0x7b header-null block.
Command 2:
[Format]
ASCII ESC ( J pL pH d1 d2
Hex 1d 28 4a 02 00 ?? 00
Decimal 29 40 74 2 0 ? 0
[Response]
There seems to be no response to this command.
Command 3:
ESC I n where n = 113, 114
[Name] Transmit printer ID
[Format]
ASCII GS I n
Hex 1D 49 n
Decimal 29 73 n
[Response] 0x5f header-null block
[notes] The GS I command itself is document, but the command with n = 113 (0x71) or 114 (0x72) is not.
I am executing the following command with these results:
SQL> select * from employee;
12 sachin 48000 23
13 raja 49000 23
35 vikas 40000 26
11 sau 22000 24
23 viru 40000 26
87 raju 4500
I would also like to get the name of the column. How may I do this?
Try Set heading on - this will toggle the column headers on or off.
I'm newbie in machine learning, so I need your advice.
Imagine, we have two data sets (df1 and df2).
First data set include about 5000 observations and some features, to simplify:
name age company degree_of_skill average_working_time alma_mater
1 John 39 A 89 38 Harvard
2 Steve 35 B 56 46 UCB
3 Ivan 27 C 88 42 MIT
4 Jack 26 A 87 37 MIT
5 Oliver 23 B 76 36 MIT
6 Daniel 45 C 79 39 Harvard
7 James 34 A 60 40 MIT
8 Thomas 28 B 89 39 Stanford
9 Charlie 29 C 83 43 Oxford
The learning problem - to predict productivity of companies from second data set (df2) for next period of time (june-2016), based on data from the first data set (df1).
df2:
company productivity date
1 A 1240 april-2016
2 B 1389 april-2016
3 C 1388 april-2016
4 A 1350 may-2016
5 B 1647 may-2016
6 C 1272 may-2016
So as we can see both data sets include feature "company". But I don't understand how I can create a link between these two features. What shoud I do with two data sets to solve the learning problem? Is it possible?
I have some monthly data that is running across a sheet that looks a bit like the below -
Item Sep-15 Item Oct-15 Item Nov-15
SKU1 23 SKU1 43 SKU1 22
SKU2 43 SKU2 32 SKU2 34
SKU3 34 SKU3 44 SKU3 36
SKU4 32 SKU4 24 SKU4 45
As I want to run a query over the data I need to transpose the data from the three 'groups' of columns to one single column. I can do that fine with item and quantity data using query({A:A;C:C;E:E},"select * etc.
What I am trying to also do is bring the value data heading and create a 3rd column so that the data looks like this -
SKU1 23 Sep-15
SKU2 43 Sep-15
SKU3 34 Sep-15
SKU4 32 Sep-15
SKU1 43 Oct-15
SKU2 32 Oct-15
SKU3 44 Oct-15
SKU4 24 Oct-15
SKU1 22 Nov-15
SKU2 34 Nov-15
SKU3 36 Nov-15
SKU4 45 Nov-15
Any ideas on what combination of functions I can use to populate those date values ?
To repeat the dates without using REPT (because of it's inherent limitations --> the maximum number of repetitions is 100) you could try:
=ArrayFormula({regexreplace(to_text(G3:G11), "\d+", G2&""); regexreplace(to_text(K3:K11), "\d+", K2&""); regexreplace(to_text(O3:O11), "\d+", O2&""); regexreplace(to_text(S3:S11), "\d+", S2&"")}+0)
Note: In the above I assume
the dates to be in G2, K2, O2 and S2
the data starting in row 3 to 11 (change to suit).