stpyvista 0.0.8

Streamlit component that allows you to show PyVista 3d visualizations

🧊 stpyvista

Streamlit component to show PyVista 3D visualizations

Installation instructions

pip install stpyvista

Usage instructions

import streamlit as st
import pyvista as pv
from stpyvista import stpyvista

# pythreejs does not support scalar bars :(
pv.global_theme.show_scalar_bar = False 

## Initialize a plotter object
plotter = pv.Plotter(window_size=[400,400])

## Create a mesh with a cube 
mesh = pv.Cube(center=(0,0,0))

## Add some scalar field associated to the mesh
mesh['myscalar'] = mesh.points[:, 2]*mesh.points[:, 0]

## Add mesh to the plotter
plotter.add_mesh(mesh, scalars='myscalar', cmap='bwr', line_width=1)
plotter.add_scalar_bar()

## Final touches
plotter.view_isometric()
plotter.background_color = 'white'

## Pass a key to avoid re-rendering at each time something changes in the page
stpyvista(plotter, key="pv_cube")

Log changes

v 0.0.8

- Remove excessive whitespace below the rendered component. - Can pass additional kwargs to panel.pane.vtk, e.g. setting an orientation_widget. Check panel-vtk for details on valid kwargs.

v 0.0.6

- Replaced pythreejs backend for panel backend. This is a temporary solution as pyvista will remove panel support in favor of trame.

v 0.0.5

- Support transparent backgrounds to blend with streamlit's web app theme. - Add a control to spin along a certain axis the first mesh passed to the plotter.

v 0.0.4

- Pass a key to the stpyvista component to avoid re-rendering at every streamlit interaction - Using ipywidgets `embed_minimal_html` directly instead of pyvista `export_html`. - Update examples as a multipage streamlit app