1 files changed, 0 insertions, 137 deletions
diff --git a/Examples/Modules/laser_injection/Visualization.ipynb b/Examples/Modules/laser_injection/Visualization.ipynb
deleted file mode 100644
index 68dd53ac7..000000000
--- a/Examples/Modules/laser_injection/Visualization.ipynb
+++ /dev/null
@@ -1,137 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Overview\n",
-    "\n",
-    "This a notebook that inspects the results of a WarpX simulation.\n",
-    "\n",
-    "# Instructions\n",
-    "\n",
-    "Execute the cells below one by one, by selecting them with your mouse and typing `Shift + Enter`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# Import statements\n",
-    "import sys\n",
-    "from tqdm import tqdm\n",
-    "import yt, glob\n",
-    "yt.funcs.mylog.setLevel(50)\n",
-    "from IPython.display import clear_output\n",
-    "import numpy as np\n",
-    "from ipywidgets import interact, RadioButtons, IntSlider\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib\n",
-    "\n",
-    "# Find iterations\n",
-    "file_list = glob.glob('plt?????')\n",
-    "iterations = [ int(file_name[3:]) for file_name in file_list ]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Functions to plot the fields"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "def plot_field( iteration, field, slicing_direction='y', plotter='matplotlib' ):\n",
-    "    ds = yt.load( './plt%05d/' %iteration )\n",
-    "    all_data_level_0 = ds.covering_grid(level=0, \n",
-    "                        left_edge=ds.domain_left_edge, dims=ds.domain_dimensions)\n",
-    "    \n",
-    "    if plotter == 'yt':\n",
-    "        sl = yt.SlicePlot(ds, slicing_direction, field)\n",
-    "        sl.set_log( field, False)\n",
-    "        sl.annotate_grids()\n",
-    "        # Show the new plot\n",
-    "        clear_output()\n",
-    "        sl.show()\n",
-    "\n",
-    "    elif plotter == 'matplotlib':\n",
-    "\n",
-    "        left_edge = ds.domain_left_edge.convert_to_mks()*1.e6\n",
-    "        right_edge = ds.domain_right_edge.convert_to_mks()*1.e6\n",
-    "        \n",
-    "        if slicing_direction == 'x':\n",
-    "            n = int( ds.domain_dimensions[0]//2 )\n",
-    "            data2d = all_data_level_0[field][n, :, :]\n",
-    "            extent = [ left_edge[2], right_edge[2], left_edge[1], right_edge[1] ]\n",
-    "        elif slicing_direction == 'y':\n",
-    "            n = int( ds.domain_dimensions[1]//2 )\n",
-    "            data2d = all_data_level_0[field][:, n, :]\n",
-    "            extent = [ left_edge[2], right_edge[2], left_edge[0], right_edge[0] ]\n",
-    "        elif slicing_direction == 'z':\n",
-    "            n = int( ds.domain_dimensions[2]//2 )\n",
-    "            data2d = all_data_level_0[field][:, :, n]\n",
-    "            extent = [ left_edge[1], right_edge[1], left_edge[0], right_edge[0] ]\n",
-    "        plt.clf()\n",
-    "        plt.title(\"%s at iteration %d\" %(field, iteration) )\n",
-    "        plt.imshow( data2d, interpolation='nearest', cmap='viridis',\n",
-    "                  origin='lower', extent=extent, aspect='auto' )\n",
-    "        plt.colorbar()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Interactive viewer"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "interact(plot_field, \n",
-    "         iteration = IntSlider(min=min(iterations), max=max(iterations), step=iterations[1]-iterations[0]),\n",
-    "         field = RadioButtons( options=['jx', 'jy', 'jz', 'Ex', 'Ey', 'Ez'], value='jz'),\n",
-    "         slicing_direction = RadioButtons( options=[ 'x', 'y', 'z'], value='y'),\n",
-    "         plotter = RadioButtons( options=['matplotlib', 'yt'] ) )"
-   ]
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Python [default]",
-   "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": "3.5.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}