3d Data Visualization Python. To generate 3d figures you will have to import mpl toolkits python package matplotlib notebook import matplotlib pyplot as plt from mpl toolkits import mplot3d fig plt figure ax plt axes projection 3d plt show this should generate the following figure handle for you to save the plot in an external file use the savefig method. 3d line plot the visualization of 3d line plots is almost the same as the previous one.
You know python and want to use mayavi as a matlab or pylab replacement for 3d plotting and data visualization with numpy. Create figure and add axis fig plt figure figsize 8 6 ax plt subplot 111 projection 3d. We start by creating a 3d axis with the following code the key here is that we are using projection 3d when we generate our axis object.
Creating 3d figure objects.
Read the mayavi application section. We start by creating a 3d axis with the following code the key here is that we are using projection 3d when we generate our axis object. 3d line plot the visualization of 3d line plots is almost the same as the previous one. You want to use an interactive application to visualize your data in 3d.
