Oct 20, 2013 · So I have some 3D data that I am able to plot just fine except the edges look jagged. The relevant code: col=0. while col<np.shape(x)[1]: if rho[row][col] > 1: rho[row][col] = None. col=col+1. row=row+1. Produces: This is so close to what I …

Aug 10, 2020 · The values and NaNs are separated by "crossover" lines which should have values going all the way up to the boundary. I first attempted to plot this using matplotlib's "triangulation" and contourf as such:

Jun 8, 2011 · When plotting surfaces using mpl_toolkits.mplot3d.Axes3D.plot_surface(), lines appear that seem to follow the curve of the surfaces being plotted. For example: Is there any way to get rid of the bloody things so you just have a smooth surface? I've attached an image to show what I mean. Try.

import matplotlib.pyplot as plt import numpy as np from matplotlib import cm plt. style. use ('_mpl-gallery') # Make data X = np. arange (-5, 5, 0.25) Y = np. arange (-5, 5, 0.25) X, Y = np. meshgrid (X, Y) R = np. sqrt (X ** 2 + Y ** 2) Z = np. sin (R) # Plot the surface fig, ax = plt. subplots (subplot_kw = {"projection": "3d"}) ax. plot ...

Oct 22, 2024 · Learn how to create smooth 3D surface plots in Python using interpolation, filtering, mesh smoothing, moving average, spline smoothing, and more.

Sep 15, 2019 · I want to create one surface from it but there are jagged points at the end. Online searches suggest first having polar coordinates and then converting to Cartesian but I have Cartesian coordinates so I think its pointless to go from …

So I have some 3D data that I am able to plot just fine except the edges look jagged. The relevant code:

The first figure in this example shows how to zoom in and out of a plot using margins instead of set_xlim and set_ylim. The second figure demonstrates the concept of edge "stickiness" introduced by certain methods and artists and how to effectively work around that.

3D surface (colormap)# Demonstrates plotting a 3D surface colored with the coolwarm colormap. The surface is made opaque by using antialiased=False. Also demonstrates using the LinearLocator and custom formatting for the z axis tick labels.

Aug 25, 2016 · I have made a 3D plot in Python using matplotlib and Axes3D. It looks pretty good, but it has a lot of jagged edges due to how much data I am plotting. I have tried scipy interpolation methods on the data, but the plot_surface command does not like the type given back.