{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Decimation {#decimate_example}\n\nDecimate a mesh\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import pyvista as pv\nfrom pyvista import examples\n\nmesh = examples.download_face()\n\n# Define a camera position that shows this mesh properly\ncpos = [(0.4, -0.07, -0.31), (0.05, -0.13, -0.06), (-0.1, 1, 0.08)]\ndargs = dict(show_edges=True, color=True)\n\n# Preview the mesh\nmesh.plot(cpos=cpos, **dargs)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now let\\'s define a target reduction and compare the\n`pyvista.PolyDataFilters.decimate`{.interpreted-text role=\"func\"} and\n`pyvista.PolyDataFilters.decimate_pro`{.interpreted-text role=\"func\"}\nfilters.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "target_reduction = 0.7\nprint(f\"Reducing {target_reduction * 100.0} percent out of the original mesh\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "decimated = mesh.decimate(target_reduction)\n\ndecimated.plot(cpos=cpos, **dargs)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "pro_decimated = mesh.decimate_pro(target_reduction, preserve_topology=True)\n\npro_decimated.plot(cpos=cpos, **dargs)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Side by side comparison:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "pl = pv.Plotter(shape=(1, 3))\npl.add_mesh(mesh, **dargs)\npl.add_text(\"Input mesh\", font_size=24)\npl.camera_position = cpos\npl.reset_camera()\npl.subplot(0, 1)\npl.add_mesh(decimated, **dargs)\npl.add_text(\"Decimated mesh\", font_size=24)\npl.camera_position = cpos\npl.reset_camera()\npl.subplot(0, 2)\npl.add_mesh(pro_decimated, **dargs)\npl.add_text(\"Pro Decimated mesh\", font_size=24)\npl.camera_position = cpos\npl.reset_camera()\npl.link_views()\npl.show()"
      ]
    }
  ],
  "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
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