matrix

问题 I need to get matrix from user. Which of the JavaFX features is the most useful? Grid with (m*n) textFields or TableView? The thing is, it is hard to represent TableView with variable number of columns. 回答1: I'd use a TextArea public class Matrix extends Application { @Override public void start(Stage primaryStage) { TextArea txt = new TextArea(); GridPane grid = new GridPane(); grid.setGridLinesVisible(true); txt.setOnKeyReleased(t-> { int i = 0; String[] rows = txt.getText().split("\n");

问题 I need to change the way I am scaling and moving my imageview to using a matrix instead of calling canvas.scale(,,,,) , but I cannot figure out the proper calls to do this. I had this in my ScaleListener listener class's onScale method public boolean onScale(ScaleGestureDetector detector) { ...//determining zoom level and pivot points offset child.zoom(scaleFactor, zoomCenter[0], zoomCenter[1]); } I had in the child ImageView's onDraw method: protected void onDraw(Canvas canvas){ super.onDraw

问题 Basically a followup on this question. I'm still trying to get a grasp of R's vectorising while trying to speed up a coworkers' code. I've read R inferno and Speed up the loop operation in R. My aim is to speed up the following code, the complete dataset contains ~1000columns by 10.000-1.000.000 rows: df3 <- structure(c("X", "X", "X", "X", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"), .Dim = c(2L, 8L), .Dimnames = list( c("1", "2"), c("pig_id", "code", "DSFASD32", "SDFSD56",

问题 Basically a followup on this question. I'm still trying to get a grasp of R's vectorising while trying to speed up a coworkers' code. I've read R inferno and Speed up the loop operation in R. My aim is to speed up the following code, the complete dataset contains ~1000columns by 10.000-1.000.000 rows: df3 <- structure(c("X", "X", "X", "X", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"), .Dim = c(2L, 8L), .Dimnames = list( c("1", "2"), c("pig_id", "code", "DSFASD32", "SDFSD56",

问题 Let's say I've got a matrix like this: mat1 = np.array([1,0,1], [1,1,0], [0,0,0]); And I've got another one like this: mat2 = np.array([0,1,0], [0,0,1], [1,1,1]); I want to detect if something like np.add(mat1, mat2); has only 1's or 0's, namely some 1's and some 0's, all 0's, or all 1's. n.b. - Comment your code. 回答1: How about this: >>> def check(matrix): ... # flatten up the matrix into one single list ... # and set on the list it should be [0,1] if it ... # contains only 0 and 1. Then do

问题 Let's say I've got a matrix like this: mat1 = np.array([1,0,1], [1,1,0], [0,0,0]); And I've got another one like this: mat2 = np.array([0,1,0], [0,0,1], [1,1,1]); I want to detect if something like np.add(mat1, mat2); has only 1's or 0's, namely some 1's and some 0's, all 0's, or all 1's. n.b. - Comment your code. 回答1: How about this: >>> def check(matrix): ... # flatten up the matrix into one single list ... # and set on the list it should be [0,1] if it ... # contains only 0 and 1. Then do

问题 When I attempt to use the void print function I receive the error "Member Reference base type 'Matrix(Vector &, Vector &) is not a structure or union". This program is supposed to take in values from the user and store them in the data array then it takes the Vector a and Vector b and does vector multiplication to print Matrix A. #include <iostream> using namespace std; const int rows=3; const int columns=3; const int elements=3; class Vector{ private: double data[elements]; public: Vector();

问题 When I attempt to use the void print function I receive the error "Member Reference base type 'Matrix(Vector &, Vector &) is not a structure or union". This program is supposed to take in values from the user and store them in the data array then it takes the Vector a and Vector b and does vector multiplication to print Matrix A. #include <iostream> using namespace std; const int rows=3; const int columns=3; const int elements=3; class Vector{ private: double data[elements]; public: Vector();

问题 I have written a code and i have to verify it on the online compiler for this purpose. But that compiler is showing following error.Attaching the image Also my code is as follows: def matrixflip(m,d): n=m x=len(n[0][0:]) if(d=="h"): for i in range(len(n)): for j in range(x-1): temp=n[i][j] n[i][j]=n[i][j+1] n[i][j+1]=temp print(n) elif(d=="v"): temp=[] for i in range(len(n)-1): temp=n[i][0:] n[i][0:]=n[i+1][0:] n[i+1][0:]=temp print(n) else: print(m) myl=[[1,2],[3,4]] matrixflip(myl,"h")

问题 I'm trying to join matrices stored in nested lists and place them in a new list. For example, if I have a list of fruit, I would like to take various matrices stored under Kiwi , and join them together as one matrix in a new list. This will generate something that looks like my data: #Define some important things Fruits = c('Mango', 'Kiwi') Attr = c('Size', 'Shape') #generate empty lists MyFruitList <- lapply(Fruits, function(q) { EmptySublist <- (setNames(vector("list", length(Fruits)), Attr