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20 maj 2019 · 5. 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: The x and y values define a 2d plane with the length (x-Axis) of 7 values and depth (y-Axis) of 2 values.
Meshgrid() The function meshgrid() takes two vectors x and y that contain the location of the grid points and generates matrices X and Y that are used by all 2D Matlab plotting functions, in particular contour()/contourf() and surf(). f = @(x,y) x.*y; g = @(x,y) y; Nx = 4; Ny = 3; N = Nx*Ny N = 12 x = linspace(0,1,Nx) x = 1×4 0 0.3333 0.6667 1 ...
Create a 2-D grid with uniformly spaced x-coordinates and y-coordinates in the interval [-2,2]. x = -2:0.25:2; y = x; [X,Y] = meshgrid(x); Evaluate and plot the function f ( x , y ) = x e - x 2 - y 2 over the 2-D grid.
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:
numpy.meshgrid(*xi, copy=True, sparse=False, indexing='xy') [source] #. 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.
Contour plot. %x and y values between 0 and +1 spaced by 0.005. [X,Y]=meshgrid(x,y); %generate a 2D grid of xy values. Z=exp(-((X-0.5).^2+(Y-0.5).^2)/(2*r^2)); % generate the Gaussian %function on the grid.
26 mar 2014 · numpy.meshgrid. ¶. Return coordinate matrices from two or more 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. 1-D arrays representing the coordinates of a grid.
