{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Cloud and mesh visualization\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nfrom itom import dataObject\nfrom itom import plot\nfrom itom import polygonMesh\n\ntry:\n    from itom import pointCloud\nexcept Exception as ex:\n    ui.msgInformation(\n        \"PointCloud missing\",\n        \"your itom version is compiled without support of pointClouds\",\n    )\n    raise ex"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Create a ``dataObject`` with X, Y and Z values of a topography\nas well as a 2.5D topography in terms of a ``dataObject``.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "[X, Y] = np.meshgrid(np.arange(0, 100, 0.25), np.arange(0, 100, 0.25))\nzValues = np.sin(X * 2) + np.cos(Y * 0.5)\n# further intensity\nintensity = np.random.rand(*X.shape)\n# further color information\ncolorValues = dataObject.randN([X.shape[0], X.shape[1]], \"rgba32\")\ntopography = dataObject(zValues).astype(\"float32\")\ntopography.axisScales = (0.1, 0.1)\ntopography[0, 0] = float(\"nan\")\n\nmesh_quads = polygonMesh.fromTopography(topography)\nmesh_triangles = polygonMesh.fromTopography(topography, triangulationType=1)\n\n[i, h] = plot(mesh_quads, \"vtk3dvisualizer\")\nh.call(\"addMesh\", mesh_triangles, \"mesh_triangles\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://../../_static/demoColoredShapes_1.png\" width=\"100%\">\n\n"
      ]
    }
  ],
  "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": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}