{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Read FEniCS/Dolfin Meshes\n\nPyVista leverages [meshio](https://github.com/nschloe/meshio) to read\nmany mesh formats not natively supported by VTK including the\n[FEniCS/Dolfin](https://fenicsproject.org) XML format. This example uses\n`pyvista.read`{.interpreted-text role=\"func\"}.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import pyvista as pv\nfrom pyvista import examples"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Let\\'s download an example FEniCS/Dolfin mesh from our example data\nrepository. This will download an XML Dolfin mesh and save it to\nPyVista\\'s data directory.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "saved_file = examples.download_file(\"dolfin_fine.xml\")\nprint(saved_file)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As shown, we now have an XML Dolfin mesh save locally. This filename can\nbe passed directly to PyVista\\'s `pyvista.read`{.interpreted-text\nrole=\"func\"} method to be read into a PyVista mesh.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "dolfin = pv.read(saved_file)\ndolfin"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now we can work on and plot that Dolfin mesh.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "qual = dolfin.compute_cell_quality()\nqual.plot(show_edges=True, cpos=\"xy\")"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
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    "language_info": {
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      "file_extension": ".py",
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      "pygments_lexer": "ipython3",
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