#Matplotlib 3d scatter axis labels how to#

Maybe this is overriding the set_lim methods. With Matplotlib, you can make animated images. There are other toolkits: for mapping, for working with Excel, utilities for GTK and others. Simple 3D graphics can be built using the mplot3d toolkit. You could have a look at switching off autoscaling of axes which is on by default. The user can specify the coordinate axis, grid, add labels and explanations, use a logarithmic scale or polar coordinates Image source. If you are not comfortable with Figure and Axes plotting notation, check out this article to help you.

#Matplotlib 3d scatter axis labels how to#

You could use these to fix the limits of your axes. How to start learning Python Matplotlib 3D Plot Example If you are used to plotting with Figure and Axes notation, making 3D plots in matplotlib is almost identical to creating 2D ones. So what can I do to make it so that the tick marks are fixed so the point moves rather than the tick marks changing?Īn Axes3D object (your ax variable) has the following methods: set_xlim, set_ylim, and set_zlim. Here is an example of the data: x.mean y.mean z.mean time Here is my code: from mpl_toolkits.mplot3d import Axes3Dĭata = pickleLoad('/Users/ryansaxe/Desktop/kaggle_parkinsons/accelerometry/LILY_dataframe')ĭf = data.ix]Īx = fig.add_subplot(111, projection='3d') This makes my life very difficult because I don't see the motion on the point. No matter what I seem to do, the point is always placed in the center of the graph and the tick marks on the axis change in order to do that. In this latitude/longitude scatter plot with colour coded points: I want to have no axis but have a shared label for the x axis and the y axis. So I have a 3d live-updating graph! it only shows one point at a time so I can easily track the motion of the point! But here is the problem: