{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Spline Widget\n\nA spline widget can be enabled and disabled by the\n`pyvista.Plotter.add_spline_widget`{.interpreted-text role=\"func\"} and\n`pyvista.Plotter.clear_spline_widgets`{.interpreted-text role=\"func\"}\nmethods respectively. This widget allows users to interactively create a\npoly line (spline) through a scene and use that spline.\n\nA common task with splines is to slice a volumetric dataset using an\nirregular path. To do this, we have added a convenient helper method\nwhich leverages the\n`pyvista.DataSetFilters.slice_along_line`{.interpreted-text role=\"func\"}\nfilter named `pyvista.Plotter.add_mesh_slice_spline`{.interpreted-text\nrole=\"func\"}.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\n\nimport pyvista as pv"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "mesh = pv.Wavelet()\n\n# initial spline to seed the example\npoints = np.array(\n    [\n        [-8.64208925, -7.34294559, -9.13803458],\n        [-8.25601497, -2.54814702, 0.93860914],\n        [-0.30179377, -3.21555997, -4.19999019],\n        [3.24099167, 2.05814768, 3.39041509],\n        [4.39935227, 4.18804542, 8.96391132],\n    ],\n)\n\np = pv.Plotter()\np.add_mesh(mesh.outline(), color='black')\np.add_mesh_slice_spline(mesh, initial_points=points, n_handles=5)\np.camera_position = [(30, -42, 30), (0.0, 0.0, 0.0), (-0.09, 0.53, 0.84)]\np.show()"
      ]
    }
  ],
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      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "language_info": {
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      "file_extension": ".py",
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      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
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