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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() 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 ...
17 paź 2023 · In this tutorial, you'll learn about NumPy meshgrid, how to create 2D and 3D mesh grids, flip meshgrid, and Creating Meshgrid with matrices.
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.
29 lut 2024 · With NumPy’s meshgrid function, you can easily create matrices that define the coordinates for a 2D grid. This is ideal for computing functions of two variables efficiently. Here’s an example: import numpy as np x = np.linspace (-5, 5, 11) y = np.linspace (-5, 5, 11) X, Y = np.meshgrid (x, y) Output:
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,..).
