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7 de ene. de 2016 · As others have already pointed out, you need to interpolate your data. There are a number of different ways to do this, but for starters, consider scipy.ndimage.zoom. As a quick exmaple: # Resample your data grid by a factor of 3 using cubic spline interpolation.
8 de abr. de 2024 · Contour lines are important in a map to help visualize surface topology and are a good way to display terrain surface. Sometimes, when creating a contour feature layer from raster data in ArcGIS Pro, the contour lines created are jagged and less smooth as shown in the image below.
How to make Contour plots in Python with Plotly. New to Plotly? Basic Contour Plot. A 2D contour plot shows the contour lines of a 2D numerical array z, i.e. interpolated lines of isovalues of z.
Contours can be smoothed to provide a more cartographic-pleasing appearance while maintaining the accuracy of the contours. Dynamic control over the contour interval is provided. Output options include contour lines, index contours, and filled contours.
31 de oct. de 2012 · CONTOURSPLINE (X,Y,Z,N) creates a contour plot having N contour levels from the matrix Z, treating the values in Z as heights above the X-Y plane. X and Y are either vectors defining the X- and Y-axes with length (X) = size (Z,2) and length (Y) = size (Z,1), or X and Y are matrices the same size as Z such as those produced by MESHGRID.
Tricontour Smooth User# Demonstrates high-resolution tricontouring on user-defined triangular grids with matplotlib.tri.UniformTriRefiner.
14 de jun. de 2013 · Open in MATLAB Online. The easiest way to do this is to interpolate your data to a higher resolution using an interpolation scheme that will result in smoother transitions between points, such as a spline. Theme. Copy. [x,y,z] = peaks (10); [xnew, ynew] = meshgrid (linspace (-3,3,100)); znew = interp2 (x,y,z,xnew,ynew, 'spline'); subplot (2,1,1);
