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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.
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(). = @(x,y) x.*y; = @(x,y) y; Nx = 4; Ny = 3; N = Nx*Ny. = 12. = linspace(0,1,Nx) = 1×4. 0 0.3333 0.6667 1.0000.
20 paź 2021 · Now that we’ve worked through mapping a single matrix, let’s see how we can use meshgrid to plot a function. Plotting Two-Dimensional Functions. To plot a function we’ll need some additional code compared to the plotting we did with a static matrix in the previous section. First, we’ll define a sine function:
torch.meshgrid. torch.meshgrid(*tensors, indexing=None) [source] Creates grids of coordinates specified by the 1D inputs in attr:tensors. This is helpful when you want to visualize data over some range of inputs. See below for a plotting example.
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 · The most straightforward use of numpy.meshgrid is to create coordinate matrices from two given one-dimensional arrays. 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:
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:
