How to reduce the colorbar limit when used with contourf ? The color bound from the graphs itself are well set with "vmin" and "vmax", but the colorbar bounds are not modified. import numpy ...

I am struggling with layering and zorder in python. I am making a 3D plot using matplotlib with three relevant elements: A surface_plot of a planet, a surface_plot of rings around that planet, and ...

This would appear to be a duplicate of this question: Set Colorbar Range in matplotlib Essentially I want to set the colorbar range to set limits, e.g. 0 to 2. When I use vmin and vmax, the range o...

I have a 3D plot of a disk. Now I would like to plot the surface in color depending on values which are stored in an array. E.g. the radius of the disk is 300mm. The array could like: arr = np.arr...

I am trying to make a graph with two different contourf subplots that use completely different colormaps. However with the code I currently have (which creates a custom colormap for one of the subp...

I am trying to customise a colorbar on my matpllotlib contourf plots. Whilst I am able to use scientific notation I am trying to change the base of the notation - essentially so that my ticks would...

I am using contourf to plot some data but am having trouble when it comes to setting the transparency. I want to be able to set the transparency of both the fill AND the lines, but cannot seem to d...

I want to update a contourf plot within a function, which works fine. However, the range of the data changes and I therefore also have to update the colorbar. That is where I fail to do so. Please...

I'm trying to animate the wigner function of the spatial coordinates of some time-dependent data. The wigner function is 2 dimensional, so I'm using contourf() to plot it. I have the data stored in...

I'm trying to plot a contourf-plot using matplotlib (and numpy of course). And it works, it plots what it should plot, but unfortunatelly I cannot set the colorbar range. The problem is that I have...

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...

Update: I've done a full write-up of the way I found to do this on my blog at http://blog.rtwilson.com/producing-polar-contour-plots-with-matplotlib/ - you may want to check there first. I'm tryin...