transpose

问题 With groovy I want to make a transpose on list of lists(with different sizes). def mtrx = [ [1,2,3], [4,5,6,7] ] expected result: [[1,4],[2,5],[3,6],[null,7]] or [[1,4],[2,5],[3,6],[7]] Method .transpose() is working for equal sized is working fine, but for not equal - some elements are cut off. My code is: def max = 0 def map = [:] def mapFinal = [:] def row = 0 def mtrx = [ [1,2,3], [4,5,6,7] ] mtrx.each{it-> println it.size() if(max < it.size()){ max = it.size() } } def transposed = mtrx

问题 What is the difference in opencv between these two transposes? Using cv::Mat::t(): cv::Mat a; a = a.t(); Using cv::transpose(): cv::Mat a; cv::transpose(a,a); I'm interested in particular about efficiency. 回答1: There's no difference. Here's the code for cv::Mat::t() from opencv/modules/core/src/matop.cpp : MatExpr MatExpr::t() const { MatExpr e; op->transpose(*this, e); return e; } So cv::Mat::t() just calls cv::transpose() . 来源： https://stackoverflow.com/questions/43310433/difference-between

问题 I am a newbie in C++ Boost uBLAS library so I have a noob question - how to transpose a matrix using this library? I could not find question here: http://www.boost.org/doc/libs/1_44_0/libs/numeric/ublas/doc/html/index.html 回答1: C = boost::numeric::ublas::trans(A); Documented (poorly) under Overview of Matrix and Vector Operations. 来源： https://stackoverflow.com/questions/4097153/how-to-transpose-matrix-using-ublas

问题 I am a newbie in C++ Boost uBLAS library so I have a noob question - how to transpose a matrix using this library? I could not find question here: http://www.boost.org/doc/libs/1_44_0/libs/numeric/ublas/doc/html/index.html 回答1: C = boost::numeric::ublas::trans(A); Documented (poorly) under Overview of Matrix and Vector Operations. 来源： https://stackoverflow.com/questions/4097153/how-to-transpose-matrix-using-ublas

问题 What are some good ways to transpose data in a SQL table from row-columns to column-rows? Also allowing filters/where conditions to be applied on the initial query. Using SQL Server 2008. Existing table has following Columns: AID (nvarchar unique) ASID (nvarchar unique) Milestone (M1, M2, M3...M100) MilestoneDate (datetime) Transposed data as follows: AID, ASID, M1 Date, M2 Date, M3 Date, M5 Date 回答1: If you are using SQL Server 2005+, then you have a few options to transpose the data. You

问题 if A matrix has complex element and I want to transpose A to A' using the command >>A' Why it is design that a+bi be transformed into a-bi ? What it use for? 回答1: From here: for complex matrices, it is almost always the case that the combined operation of taking the transpose and complex conjugate arises in physical or computation contexts and virtually never the transpose in isolation (Strang 1988, pp. 220-221). In matlab if you want to transpose without conjugating use .' . 回答2: Actually I

问题 if A matrix has complex element and I want to transpose A to A' using the command >>A' Why it is design that a+bi be transformed into a-bi ? What it use for? 回答1: From here: for complex matrices, it is almost always the case that the combined operation of taking the transpose and complex conjugate arises in physical or computation contexts and virtually never the transpose in isolation (Strang 1988, pp. 220-221). In matlab if you want to transpose without conjugating use .' . 回答2: Actually I

问题 They seem to do the same thing. g = [{ a: "A" }, { b: "B" }] r = [{ x: "X" }, { y: "Y" }] g.zip(r) # => [[{:a=>"A"}, {:x=>"X"}], [{:b=>"B"}, {:y=>"Y"}]] [g,r].transpose # => [[{:a=>"A"}, {:x=>"X"}], [{:b=>"B"}, {:y=>"Y"}]] Why have both methods? 回答1: #transpose Assumes that self is an array of arrays and transposes the rows and columns. #zip assumes self can be any Enumerable object. More differences are here a = [12,11,21] b = [1,2] [a,b].transpose # transpose': element size differs (2

问题 Intel has included __MM_TRANPOSE4_PS to transpose a 4x4 matrix of vectors. I'm wanting to do the equivalent with __m256d. However, I can't seem to figure out how to get _mm256_shuffle_pd in the same manner. _MM_TRANSPOSE4_PS Code #define _MM_TRANSPOSE4_PS(row0, row1, row2, row3) { \ __m128 tmp3, tmp2, tmp1, tmp0; \ \ tmp0 = _mm_shuffle_ps((row0), (row1), 0x44); \ tmp2 = _mm_shuffle_ps((row0), (row1), 0xEE); \ tmp1 = _mm_shuffle_ps((row2), (row3), 0x44); \ tmp3 = _mm_shuffle_ps((row2), (row3),

问题 What is the best way to transpose a data.frame in R and to set one of the columns to be the header for the new transposed table? I have coded up a way to do this below. As I am still new to R. I would like suggestions to improve my code as well as alternatives that would be more R-like. My solution is also unfortunately a bit hard coded (i.e. the new column headings are in a certain location). # Assume a data.frame called fooData # Assume the column is the first column before transposing #