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20 maj 2019 · i'm looking for the best way to create a contour plot using a numpy meshgrid. I have excel data in columns simplyfied looking like this: x data values: -3, -2, -1, 0, 1, 2 ,3, -3, -2, -1, 0, 1,...
Create 3-D grid coordinates from x -, y -, and z -coordinates defined in the interval [0,6], and evaluate the expression x 2 + y 2 + z 2. x = 0:2:6; y = 0:1:6; z = 0:3:6; [X,Y,Z] = meshgrid (x,y,z); F = X.^2 + Y.^2 + Z.^2; Determine the size of the grid.
meshgrid(..) builds matrices or 3-D hypermatrices by replicating input vectors along 2 or 3 dimensions. To create arrays of size [ nx , ny] instead of [ny, nx], or with more than 3 dimensions, please use ndgrid(x, y) or ndgrid(x, y, z,..) .
Return a tuple of coordinate matrices from coordinate vectors. Make N-D coordinate arrays for vectorized evaluations of N-D scalar/vector fields over N-D grids, given one-dimensional coordinate arrays x1, x2,…, xn. Changed in version 1.9: 1-D and 0-D cases are allowed.
>> [x1g,x2g]=meshgrid(x1,x2); Third, define the function on the grid using array operators: >> y=x1g.^2+x2g.^2; Finally, use a 3-D plotting command to visualize your data. For example: >> surf(x1g,x2g,y)
meshc(X,Y,Z) creates a mesh plot with a contour plot underneath. A mesh plot is a three-dimensional surface that has solid edge colors and no face colors. The function plots the values in matrix Z as heights above a grid in the x-y plane defined by X and Y.
The meshgrid() function does exactly what we want it to. It takes two 1D arrays that together specify a 2D grid and return two 2D arrays that specify the x and y grid values at all grid points. With those two arrays (that are the same size) we can now use array math to create our temperature array:
