transpose

问题 I'm newbie in Powershell. I tried to process / transpose row-column against a medium size csv based record (around 10000 rows). The original CSV consist of around 10000 rows with 3 columns ("Time","Id","IOT") as below: "Time","Id","IOT" "00:03:56","23","26" "00:03:56","24","0" "00:03:56","25","0" "00:03:56","26","1" "00:03:56","27","0" "00:03:56","28","0" "00:03:56","29","0" "00:03:56","30","1953" "00:03:56","31","22" "00:03:56","32","39" "00:03:56","33","8" "00:03:56","34","5" "00:03:56","35

问题 I'm newbie in Powershell. I tried to process / transpose row-column against a medium size csv based record (around 10000 rows). The original CSV consist of around 10000 rows with 3 columns ("Time","Id","IOT") as below: "Time","Id","IOT" "00:03:56","23","26" "00:03:56","24","0" "00:03:56","25","0" "00:03:56","26","1" "00:03:56","27","0" "00:03:56","28","0" "00:03:56","29","0" "00:03:56","30","1953" "00:03:56","31","22" "00:03:56","32","39" "00:03:56","33","8" "00:03:56","34","5" "00:03:56","35

问题 I have a dataframe df that have following structure: +-----+-----+-----+-------+ | s |col_1|col_2|col_...| +-----+-----+-----+-------+ | f1 | 0.0| 0.6| ... | | f2 | 0.6| 0.7| ... | | f3 | 0.5| 0.9| ... | | ...| ...| ...| ... | And I want to calculate the transpose of this dataframe so it will be look like +-------+-----+-----+-------+------+ | s | f1 | f2 | f3 | ...| +-------+-----+-----+-------+------+ |col_1 | 0.0| 0.6| 0.5 | ...| |col_2 | 0.6| 0.7| 0.9 | ...| |col_...| ...| ...| ... | ...|

问题 I'm working in a British context right now. Which I think I have set up in regional settings (Windows 7 in a corporate context, Excel 2016, ver 1803 (I think this may also be Office 365-? Whatever that is.)). I'm trying to work with dates in VBA and paste the results to Excel. At the beginning, and at the end, the dates are treated in UK format. But in the middle Excel insists on converting them to American. Pasting does: UK-> US -> UK. Dim p_dtTermArray() As Date ReDim p_dtTermArray(1 To

问题 I have two columns, would like to retain only the non commutative rows.For the data below my output should contain one combination of (1 2). i.e. for my query (1 2) is same as (2 1). Is there a simple way to do it in R. Already tried transposing. and retaining the upper traingular matrix. but it becomes a pain re transposing back the data. A B prob 1 2 0.1 1 3 0.2 1 4 0.3 2 1 0.3 2 3 0.1 2 4 0.4 My final output should be: A B prob 1 2 0.1 1 3 0.2 1 4 0.3 2 3 0.1 2 4 0.4 回答1: We can use data

问题 I would like to do the opposite of what this person wants to do. Specific transpose in Excel 2010 Transpose backwards in effect. It would be nice to have a "how to do the opposite/reverse" button on stackoverflow. In the mean time I will be trying to reverse the code given as a solution to the question asked. 回答1: I set up the data like below: In column E, I just auto-filled numbers until I reached the highest number in Column A. Then I used the following formulas in the cells indicated and

问题 Given data sets like this: Sheet 1 Col1 Col2 Col3 Miss Molly Extra Data Extra Data Mister Rogers Extra Data Extra Data Roy Rogers Extra Data Extra Data and Sheet 2 Col1 Col2 Col3 Miss Molly Value Name 1 Value Data 1 Miss Molly Value Name 2 Value Data 2 Mister Rogers Value Name 1 Value Data 1 Roy Rogers Value Name 1 Value Data 1 Roy Rogers Value Name 2 Value Data 2 Roy Rogers Value Name 3 Value Data 3 How can I end up with a transposed output like this? Sheet X (you can make me a new sheet if

问题 I'm trying to split one row in Google Sheets into different rows depending on its content. Here's an example: Name | Ticker | Categories Bitcoin | BTC | currency; store-of-value; trust layer; smart contracts; cross-industry Ripple | XRP | currency; cross-industry Into: Name | Ticker | Categories Bitcoin | BTC | currency Bitcoin | BTC | store-of-value Bitcoin | BTC | trust layer Bitcoin | BTC | smart contracts Bitcoin | BTC | cross industry Ripple | XRP | currency Ripple | XRP | cross-industry

问题 I have a data.table as follows: DT <- fread( "ID country year Event_A Event_B 4 NLD 2002 0 1 5 NLD 2002 0 1 6 NLD 2006 1 1 7 NLD 2006 1 0 8 NLD 2006 1 1 9 GBR 2002 0 1 10 GBR 2002 0 0 11 GBR 2002 0 1 12 GBR 2006 1 1 13 GBR 2006 1 1", header = TRUE) I want to cast the event columns over the row without summing them, creating new rows. I tried: meltedsessions <- melt(Exp, id.vars = -c(Event_A", "Event_B"), measure.vars = c("Event_A", "Event_B")) I need to specify id.vars as a negative because

问题 tl;dr How can I transpose a data frame with column vectors of different classes (one column is character , the next is numeric , yet another is logical etc.) in a way that preserves the class/data type information? Example data: mydata <- data.frame( col0 = c("row1", "row2", "row3"), col1 = c(1, 2, 3), col2 = letters[1:3], col3 = c(TRUE, FALSE, TRUE) ) Here's also a little xlsx file that features examples for both data orientations: https://github.com/rappster/stackoverflow/blob/master/excel