{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Picking elements of a mesh {#element_picking_example}\n\nThis example demonstrates how to pick different elements on meshes using\n`enable_element_picking() <pyvista.Plotter.enable_element_picking>`{.interpreted-text\nrole=\"func\"}.\n\nThe different elements of a mesh are:\n\n- Mesh: pick the entire mesh (equivalent to\n `enable_mesh_picking() <pyvista.Plotter.enable_mesh_picking>`{.interpreted-text\n role=\"func\"}.)\n- Cell: pick a cell of the mesh (equivalent to\n `enable_cell_picking() <pyvista.Plotter.enable_cell_picking>`{.interpreted-text\n role=\"func\"}.)\n- Face: pick a single face of a cell on the mesh\n- Edge: pick a single edge of a cell on the mesh\n- Point: pick a single point on the mesh\n\nThese types are captured in the\n`pyvista.plotting.opts.ElementType`{.interpreted-text role=\"class\"} enum\nclass.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import pyvista as pv\nfrom pyvista.plotting.opts import ElementType" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Pick Face on Voxel Cell\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "mesh = pv.Wavelet()\n\npl = pv.Plotter()\npl.add_mesh(mesh, show_edges=True, pickable=True)\npl.enable_element_picking(mode=ElementType.FACE)\n\npl.camera_position = [\n (13.523728057554308, 9.910583926360937, 11.827103195167833),\n (2.229008884793069, -2.782397236304676, 6.84282248642347),\n (-0.17641568583704878, -0.21978122178947299, 0.9594653304520027),\n]\n\npl.show(auto_close=False)\n\n# Programmatically pick a face to make example look nice\ntry:\n width, height = pl.window_size\n pl.iren._mouse_right_button_press(419, 263)\n pl.iren._mouse_right_button_release()\nexcept AttributeError:\n # ignore this section when manually closing the window\n pass" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Pick an Edge of a Cell\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "sphere = pv.Sphere()\n\npl = pv.Plotter()\npl.add_mesh(sphere, show_edges=True, pickable=True)\npl.enable_element_picking(mode=ElementType.EDGE)\n\npl.camera_position = [\n (0.7896646029990011, 0.7520805261169909, 0.5148524767495051),\n (-0.014748048334009667, -0.0257133671899262, 0.07194025085895145),\n (-0.26016740957025775, -0.2603941863919363, 0.9297891087180916),\n]\n\npl.show(auto_close=False)\n\n# Programmatically pick a face to make example look nice\ntry:\n width, height = pl.window_size\n pl.iren._mouse_right_button_press(480, 300)\n pl.iren._mouse_right_button_release()\nexcept AttributeError:\n # ignore this section when manually closing the window\n pass" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.2" } }, "nbformat": 4, "nbformat_minor": 0 }