read_profilepoints.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "Often, one only get a point cloud as the description of an airfoil.\n",
    "In this case we have to make sure to sort the points in a counterclockwise manner.\n",
    "With the sorted profile points, one might extract the leading- and trailing-edge indices and derive other parameters."
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ratio of cleaned sites: 0.8073422026607983\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/many/miniconda3/envs/NTRfC/lib/python3.10/site-packages/pyvista/core/filters/poly_data.py:2848: PyVistaFutureWarning: The default value of the ``capping`` keyword argument will change in a future version to ``True`` to match the behavior of VTK. We recommend passing the keyword explicitly to prevent future surprises.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "execution_count": 2,
     "metadata": {
      "image/png": {
       "width": 400,
       "height": 400
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ntrfc.cascade_case.domain import DomainParameters\n",
    "import importlib.resources\n",
    "import numpy as np\n",
    "import pyvista as pv\n",
    "import os\n",
    "\n",
    "profilepoints_file = importlib.resources.files(\"ntrfc\") / \"data/turbine_cascade/profilepoints.txt\"\n",
    "\n",
    "\n",
    "points = np.loadtxt(profilepoints_file)\n",
    "pointcloud = pv.PolyData(points)\n",
    "turbine_domain = DomainParameters()\n",
    "turbine_domain.generate_params_by_pointcloud(pointcloud)\n",
    "pv.set_jupyter_backend(\"static\")\n",
    "\n",
    "if os.getenv('DISPLAY') is None:\n",
    "    pv.start_xvfb()  # Start X virtual framebuffer (Xvfb)\n",
    "\n",
    "plotpath = turbine_domain.plot_domainparas()\n",
    "from IPython.display import Image\n",
    "Image(plotpath, width=400, height=400)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ratio of cleaned sites: 0.9533860158047415\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/many/miniconda3/envs/NTRfC/lib/python3.10/site-packages/pyvista/core/filters/poly_data.py:2848: PyVistaFutureWarning: The default value of the ``capping`` keyword argument will change in a future version to ``True`` to match the behavior of VTK. We recommend passing the keyword explicitly to prevent future surprises.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "execution_count": 1,
     "metadata": {
      "image/png": {
       "width": 400,
       "height": 400
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ntrfc.cascade_case.domain import DomainParameters\n",
    "import importlib.resources\n",
    "import numpy as np\n",
    "import pyvista as pv\n",
    "import os\n",
    "\n",
    "\n",
    "profilepoints_file = importlib.resources.files(\"ntrfc\") / \"data/compressor_cascade/profilepoints.txt\"\n",
    "\n",
    "\n",
    "points = np.loadtxt(profilepoints_file)\n",
    "pointcloud = pv.PolyData(points)\n",
    "compressor_domain = DomainParameters()\n",
    "compressor_domain.generate_params_by_pointcloud(pointcloud)\n",
    "\n",
    "pv.set_jupyter_backend(\"static\")\n",
    "\n",
    "if os.getenv('DISPLAY') is None:\n",
    "    pv.start_xvfb()  # Start X virtual framebuffer (Xvfb)\n",
    "\n",
    "plotpath = compressor_domain.plot_domainparas()\n",
    "\n",
    "from IPython.display import Image\n",
    "Image(plotpath, width=400, height=400)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}