For Plotting, kind of more for creating 3D mesh for your matplotlib 3d plots. Use this just like your matplotlib code. Calculate whatever you want like you did in Numpy and pass the values. This is a newbie attempt, haven't added plot methods that I haven't done math. Has Docstrings to help in VS Code.
I once plotted a 3D graph and wanted to export it to use on a 3D software like Blender, but Matplotlib didn't give that option. So I've written a code that kind of works like Matplotlib.
This will only export the mesh, it will not add anything extra like legends, texts, colors (will add later), plot numbers, or any texts. You need to do that on your own in the current version.
from .main import s3dplot
import axes3d
X, Y, Z = axes3d.get_test_data(0.05) #get test data
plt = s3dplot()
plt.regular_wireframe_plot(X,Y,Z) #Plotting Wireframe plot
plt.write_obj("wireframe.obj") #save the plot
📗write_obj
to save the mesh.
write_obj(filename = "Output.obj", normals=False)
Args:
filename (str): filename.
normals (bool): Calculates the Normals of the face if present. Use cautiously.
📗 voxel_mesh
to plot a voxel mesh.
plt.voxel_mesh(X=[],Y=[],Z=[], size=[1.0])
📗 bar_mesh
to plot a bar mesh.
plt.bar_mesh(values, width=1, depth=1, space=0)
Args:
values (list or int): the values of the categories. (the height of the bar)
width (list or int): the width you want to set, if different for each graph pass a list or tuple
depth (list or int): the depth you want to set, if different for each graph pass a list or tuple
space (list or int): spacing between bars, if different for each graph pass a list or tuple
If you didn't notice, since this is a 3d plot, you can see this 3d bar graph via different axes, thus each axis can have a certain value.
📗 regular_face_plot
and regular_wireframe_plot
Surface plot
plt.regular_face_plot(x=[],y=[],z=[])
plt.regular_wireframe_plot(x=[],y=[],z=[])
Takes an Array of X,Y,Z coordinates to plot surface usually X,Y is a meshgrid and Z is the Z coordinate
Args:
x (_type_, optional): Mesh Grid
y (_type_, optional): Mesh Grid
z (_type_, optional):