columnname

问题 I am trying to use Pandas to represent motion-capture data, which has T measurements of the (x, y, z) locations of each of N markers. For example, with T=3 and N=4, the raw CSV data looks like: T,Ax,Ay,Az,Bx,By,Bz,Cx,Cy,Cz,Dx,Dy,Dz 0,1,2,1,3,2,1,4,2,1,5,2,1 1,8,2,3,3,2,9,9,1,3,4,9,1 2,4,5,7,7,7,1,8,3,6,9,2,3 This is really simple to load into a DataFrame, and I've learned a few tricks that are easy (converting marker data to z-scores, or computing velocities, for example). One thing I'd like

问题 I am trying to use Pandas to represent motion-capture data, which has T measurements of the (x, y, z) locations of each of N markers. For example, with T=3 and N=4, the raw CSV data looks like: T,Ax,Ay,Az,Bx,By,Bz,Cx,Cy,Cz,Dx,Dy,Dz 0,1,2,1,3,2,1,4,2,1,5,2,1 1,8,2,3,3,2,9,9,1,3,4,9,1 2,4,5,7,7,7,1,8,3,6,9,2,3 This is really simple to load into a DataFrame, and I've learned a few tricks that are easy (converting marker data to z-scores, or computing velocities, for example). One thing I'd like

问题 Let's say I have created the following matrix: > x <- matrix(1:20000,nrow=100) > x[1:10,1:10] [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 1 101 201 301 401 501 601 701 801 901 [2,] 2 102 202 302 402 502 602 702 802 902 [3,] 3 103 203 303 403 503 603 703 803 903 [4,] 4 104 204 304 404 504 604 704 804 904 [5,] 5 105 205 305 405 505 605 705 805 905 [6,] 6 106 206 306 406 506 606 706 806 906 [7,] 7 107 207 307 407 507 607 707 807 907 [8,] 8 108 208 308 408 508 608 708 808 908 [9,] 9

问题 Let's say I have created the following matrix: > x <- matrix(1:20000,nrow=100) > x[1:10,1:10] [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 1 101 201 301 401 501 601 701 801 901 [2,] 2 102 202 302 402 502 602 702 802 902 [3,] 3 103 203 303 403 503 603 703 803 903 [4,] 4 104 204 304 404 504 604 704 804 904 [5,] 5 105 205 305 405 505 605 705 805 905 [6,] 6 106 206 306 406 506 606 706 806 906 [7,] 7 107 207 307 407 507 607 707 807 907 [8,] 8 108 208 308 408 508 608 708 808 908 [9,] 9

来源： https://stackoverflow.com/questions/51314582/rename-columns-of-dataframe-based-on-names-of-list-in-r

来源： https://stackoverflow.com/questions/51314582/rename-columns-of-dataframe-based-on-names-of-list-in-r

问题 I want search a specific value in my database that i don't know where is it exactly. Is there any query exist that returned column name or table name of a specific value in SQL server? Assume that I have a value of a column like 123, but I don't know 123 belongs to which table and I don't know any about its column name. Can i write a query to find table names that this value is in it? I need a query not a procedure!!! 回答1: This might do it for you. Note that if you have a lot of tables

问题 I want search a specific value in my database that i don't know where is it exactly. Is there any query exist that returned column name or table name of a specific value in SQL server? Assume that I have a value of a column like 123, but I don't know 123 belongs to which table and I don't know any about its column name. Can i write a query to find table names that this value is in it? I need a query not a procedure!!! 回答1: This might do it for you. Note that if you have a lot of tables

问题 I have a package with a bunch of oledb Destinations, using SSIS 2016 - which is supposed to show the exact column that generated the error.The ErrorColumn shows (0) zero, therefore I am unable to trap the column that generated the error. Using the script below (with code that assigns "Unknown column" but it does not help, it just avoids the script fail): public override void Input0_ProcessInputRow(Input0Buffer Row) { //IDTSComponentMetaData130 componentMetaData = ComponentMetaData as

问题 This question already has answers here : Closed 7 years ago . Possible Duplicate: Assignment operators in R: '=' and '<-' I would like to know why there is a difference between using = and <- while assigning a dataframe . Case a: Using = set.seed(100);a <- data.frame(a1=rnorm(10),a2=sample(c(1,0),10,replace=TRUE)) Case b: Using <- set.seed(100);b <- data.frame(b1 <- rnorm(10),b2 <- sample(c(1,0),10,replace=TRUE)) Why is there the following difference? Why does not second method retain the