transpose

问题 This question already has answers here : how to unstack (or pivot?) in pandas (3 answers) Closed 2 years ago . I have a DF with multiple columns which I want to convert from rows to columns most solutions I have seen on stack overflow only deal with 2 columns From DF PO ID PO Name Region Date Price 1 AA North 07/2016 100 2 BB South 07/2016 200 1 AA North 08/2016 300 2 BB South 08/2016 400 1 AA North 09/2016 500 To DF PO ID PO Name Region 07/2016 08/2016 09/2016 1 AA North 100 300 500 2 BB

问题 I have a dataframe (simplified) that looks like this: Age, Kodiak, Banana, Banff, Montreal, Fairfax Age_1, 5, 6 , 7, 9, 2 Age_2, 7, 6, 4, 3, 2 Age_3, 5, 3, 8, 5, 9 I would like my dataframe to look more like this: Location, Age_1, Age_2, Age_3 Kodiak, 5, 7, 5 Banana, 6, 6, 3 Banff, 7, 4, 8 Montreal, 9, 3, 5 Fairfax, 2, 2, 9 I've looked at the transpose function but I'm a bit confused on how to switch both the columns and rows. I'm very new to R. 回答1: There are two ways you can do this. The

问题 Simply put I am trying to take a single column query result and output it into a 5 wide by × long table. This is how the main table is organized. On separate tabs, I want to list all of the caught and seen Pokemon on their own for easy search. While I can get it to output something like this with =query(NatDex, "Select C Where F <> ''",1) I would like it to output the data something like this for easy reading so it's not eventually 100+ entries long: Bonus points if you can give me formula

问题 I have a data frame in R that I want to transpose into a different format, please see the example below: Can I use the transpose function in R? Input data frame: Samples A1 A2 A3 B1 B2 B3 Sample1 123 123 321 32 321 32132 Sample2 12321 32321 2321 2313 3213 3123 Sample3 454 54 543 543 43 435 Desired Output: Samples 1 2 3 Sample1 A 123 123 321 Sample1 B 32 321 32132 Sample2 A 12321 32321 2321 Sample2 B 2313 3213 3123 Sample3 A 454 54 543 Sample3 B 543 43 435 回答1: To give some props to base R,

问题 I need to transpose an HTML table (swap rows and columns). I found numerous jQuery plugins but they are more than what I need. I adapted some neat jQuery code from this stack but it does not work on tables that include thead and tfoot elements. function tableTransform(objTable) { objTable.each(function () { var $this = $(this); var newrows = []; $this.find("tr").each(function () { var i = 0; $(this).find("td").each(function () { i++; if (newrows[i] === undefined) { newrows[i] = $("<tr></tr>")

问题 I started to study Scheme and I do not understand some of it. I'm using DrRacket. I wrote the following code: (define mult_mat (λ (A B) (Trans_Mat (map (λ (x) (mul_Mat_vec A x)) (Trans_Mat B))))) That uses this functions: (define Trans_Mat (λ (A) (apply map (cons list A)))) (define mul_Mat_vec (λ (A v) (map (λ (x) (apply + (map * x v))) A))) In mult_mat , I multiply the matrix A in each vector of the transpose matrix B. It works fine. I found a code on the web that makes the multiplication in

问题 I started to study Scheme and I do not understand some of it. I'm using DrRacket. I wrote the following code: (define mult_mat (λ (A B) (Trans_Mat (map (λ (x) (mul_Mat_vec A x)) (Trans_Mat B))))) That uses this functions: (define Trans_Mat (λ (A) (apply map (cons list A)))) (define mul_Mat_vec (λ (A v) (map (λ (x) (apply + (map * x v))) A))) In mult_mat , I multiply the matrix A in each vector of the transpose matrix B. It works fine. I found a code on the web that makes the multiplication in

问题 Can data in Hive be transposed? As in, the rows become columns and columns are the rows? If there is no function straight up, is there a way to do it in a couple of steps? I have a table like this: | ID | Names | Proc1 | Proc2 | Proc3 | | 1 | A1 | x | b | f | | 2 | B1 | y | c | g | | 3 | C1 | z | d | h | | 4 | D1 | a | e | i | I want it to be like this: | A1 | B1 | C1 | D1 | | x | y | z | a | | b | c | d | e | | f | g | h | i | I have been looking up other related questions and they all

问题 Related issue: How to create dummy variable columns for thousands of categories in Google BigQuery I have a table of list of weighted edges which is a list of user-item rating, it looks like this: | userId | itemId | rating | 001 | 001 | 5.0 | 001 | 002 | 4.0 | 002 | 001 | 4.5 | 002 | 002 | 3.0 I want to convert this weighted edge list into a adjacency matrix: | userId | item001 | item002 | 001 | 5.0 | 4.0 | 002 | 4.5 | 3.0 According to this post, we can do it in two steps, the first step is

问题 I have a table like this: id | P | C | A | B -------------------- 1 |100 |3 |a1 | b1 2 |101 |3 |a2 | b2 3 |102 |3 |a3 | b3 4 |103 |3 |a4 | b4 5 |100 |4 |a5 | b5 6 |101 |4 |a6 | b6 7 |102 |4 |a7 | b7 8 |103 |4 |a8 | b8 I want to get a new transposed structure like this: P |_3A | _3B |_4A | _4B ------------------------- 100 | a1 | b1 | a5 | b5 101 | a2 | b2 | a6 | b6 102 | a3 | b3 | a7 | b7 103 | a4 | b4 | a8 | b8 As you can see ,new field names have been extracted from C field in the original