Feb 17, 2016 · I would like to plot a surface with a colormap, wireframe and contours using matplotlib. Something like this: Notice that I am not asking about the contours that lie in the plane parallel to xy but the ones that are 3D and white in the image. If I go the naïve way and plot all these things I cannot see the contours (see code and image below).

Dec 19, 2014 · I'm simply trying to plot a surface and its contour in 3D, exactly as in this example. This is the code I'm using to do it: import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import axes3d...

Oct 22, 2022 · Matplotlib is not really great when it comes to 3D plot. You lowered the opacity of the surface to make the contour lines visible. I'm afraid that what you are asking is impossible to achieve with matplotlib.

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm from matplotlib.colors import ListedColormap ## The following code creates the figure plotting function def MakePlot(xx,yy,zz,ww,cmapO=cm.jet): ##Create Custom Colormap with Alpha varying depending on the functions behavior.

Feb 24, 2012 · The trick is to interpolate over a grid before you plot - I'd use scipy for this. Below R is a (500,3) array of XYZ values and V is the "magnitude" at each XYZ point.

I'm trying to plot a polar contour plot in matplotlib. I've found various resources on the internet, (a) I can't seem to get my code to work and (b) many of the resources appear rather old, and I'm wondering if there is a better way now.

Aug 12, 2018 · I would like to 4D plot over the cube (x,y,z) vs. q, using the colormap on the 3 surfaces of the cubes, where the color and contour are determined depending on the q variable. Basically, I am looki...

Is there any way to put contours labels in 3D plots? Clabel is apparently not implemented in 3D. import numpy as np from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt x,y = np.meshgrid(np.linspace(-1,1,10),np.linspace(-1,1,10)) z=-(x**2+y**2) fig,ax = plt.subplots() C=ax.contour(x,y,z) ax.clabel(C) fig = plt.figure() ax = fig.add_subplot(111,projection='3d') C=ax.contour(x ...

Here's your 2d contourf plot: Here's the 3d contourf version: And here's the 3d contour version: As you can see the difference between the latter two is that contourf also plots horizontal planes for each level (just like terraces), whereas contour only plots the level lines themselves.

The problem is that the filled contour hides the line plot. The plot I get is the following: When I change the alpha of the filled contour to 0.5 I can see the line, as can be seen in the following picture: But I want the filled contour to have an alpha value of 1.0 and to see the line.