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diff --git a/Exec/uniform_plasma/Visualization.ipynb b/Exec/uniform_plasma/Visualization.ipynb
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+++ b/Exec/uniform_plasma/Visualization.ipynb
@@ -0,0 +1,177 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
+   "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,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [],
+   "source": [
+    "# General imports\n",
+    "import glob, sys\n",
+    "# Import numpy and matplotlib\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib\n",
+    "# Import yt\n",
+    "import yt\n",
+    "yt.funcs.mylog.setLevel(50) # Deactivate yt verbose\n",
+    "\n",
+    "# Import interactive notebook feature\n",
+    "#from IPython.display import clear_output\n",
+    "from ipywidgets import interact, IntSlider, RadioButtons\n",
+    "\n",
+    "# Find output iterations\n",
+    "file_list = glob.glob('plt?????')\n",
+    "iterations = [ int(file_name[3:]) for file_name in file_list ]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
+   "source": [
+    "# Functions to extract and plot the fields"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "def extra_data( field, iteration ):\n",
+    "    \"\"\"\n",
+    "    Extract the 3D array that corresponds to `field` at the \n",
+    "    requested iteration, and returns as a `YTarray`, which \n",
+    "    can be used exactly like a numpy array.\n",
+    "    \"\"\"\n",
+    "    ds = yt.load( './plt%05d/' %iteration )\n",
+    "    data = ds.covering_grid(level=0, \n",
+    "            left_edge=ds.domain_left_edge, \n",
+    "            dims=ds.domain_dimensions)\n",
+    "    return( data[field] ) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [],
+   "source": [
+    "def plot_field( iteration, field, slicing_direction='y' ):\n",
+    "    # Get the data\n",
+    "    field_array = extra_data( field, iteration )\n",
+    "    \n",
+    "    # Get the position of the edges\n",
+    "    ds = yt.load( './plt%05d/' %iteration )\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 = field_array[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 = field_array[:, 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 = field_array[:, :, n]\n",
+    "        extent = [ left_edge[1], right_edge[1], left_edge[0], right_edge[0] ]\n",
+    "    plt.clf()\n",
+    "    plt.imshow( data2d, interpolation='nearest', cmap='viridis',\n",
+    "              origin='lower', extent=extent )\n",
+    "    plt.colorbar()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "deletable": true,
+    "editable": true
+   },
+   "source": [
+    "# Interactive viewer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "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') )"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "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": "3.6.0"
+  },
+  "widgets": {
+   "state": {
+    "5ca3ffc563434f7487da7b1bd657761b": {
+     "views": [
+      {
+       "cell_index": 5
+      }
+     ]
+    }
+   },
+   "version": "1.2.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}