From eeb035a4eb73685808baf7bb8c85a509ae183778 Mon Sep 17 00:00:00 2001
From: "Olivier J.N. Bertrand" <olivier.bertrand@uni-bielefeld.de>
Date: Wed, 8 Aug 2018 20:33:22 +0200
Subject: [PATCH] Update lolliplot

---
 .../02-recording-animal-trajectory.ipynb      | 189 +++---------------
 .../03-rendering-along-trajectory.ipynb       |  70 ++++++-
 navipy/scripts/blend_overlaytraj.py           |   4 +-
 navipy/trajectories/__init__.py               |   8 +-
 4 files changed, 102 insertions(+), 169 deletions(-)

diff --git a/doc/source/tutorials/02-recording-animal-trajectory.ipynb b/doc/source/tutorials/02-recording-animal-trajectory.ipynb
index 63dcc8f..445d724 100644
--- a/doc/source/tutorials/02-recording-animal-trajectory.ipynb
+++ b/doc/source/tutorials/02-recording-animal-trajectory.ipynb
@@ -50,7 +50,19 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'pandas'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-1-c4435f428126>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpkg_resources\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mmpl_toolkits\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmplot3d\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mAxes3D\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pandas'"
+     ]
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
@@ -116,20 +128,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x1080 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "cplot(manhattan_3d, unit='mm');"
    ]
@@ -149,21 +150,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'plt' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[1;32m<ipython-input-3-96190864ba85>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      5\u001b[0m     'navipy', 'resources/sample_experiment/Doussot_2018a/20180117_cam_2.tif'))\n\u001b[0;32m      6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxarr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m15\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m8\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      8\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m \u001b[1;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxarr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m     \u001b[0mimage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmanhattan_imfile\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'plt' is not defined"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "manhattan_imfile = list()\n",
     "manhattan_imfile.append(pkg_resources.resource_filename(\n",
@@ -272,7 +261,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -304,7 +293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -320,7 +309,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -337,7 +326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -363,30 +352,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<mpl_toolkits.mplot3d.art3d.Line3D at 0xa69bbe0>]"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "point_3d, p3dunscaled, validcmb = triangulate_ncam_pairwise(calib, pts_cam)\n",
     "\n",
@@ -410,116 +378,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dict_keys(['__header__', '__version__', '__globals__', 'trajectory', 'nests', 'cylinders'])\n",
-      "(7661, 4)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"3\" halign=\"left\">location</th>\n",
-       "      <th colspan=\"3\" halign=\"left\">rzyx</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th>x</th>\n",
-       "      <th>y</th>\n",
-       "      <th>z</th>\n",
-       "      <th>alpha_0</th>\n",
-       "      <th>alpha_1</th>\n",
-       "      <th>alpha_2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>3.056519</td>\n",
-       "      <td>-214.990482</td>\n",
-       "      <td>9.330593</td>\n",
-       "      <td>2.79751</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>4.611665</td>\n",
-       "      <td>-215.020314</td>\n",
-       "      <td>8.424138</td>\n",
-       "      <td>2.80863</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4.556650</td>\n",
-       "      <td>-214.593236</td>\n",
-       "      <td>9.185016</td>\n",
-       "      <td>2.81407</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4.643091</td>\n",
-       "      <td>-213.829769</td>\n",
-       "      <td>10.542035</td>\n",
-       "      <td>2.82704</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4.647302</td>\n",
-       "      <td>-214.431592</td>\n",
-       "      <td>7.461187</td>\n",
-       "      <td>2.82896</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   location                            rzyx                \n",
-       "          x           y          z  alpha_0 alpha_1 alpha_2\n",
-       "0  3.056519 -214.990482   9.330593  2.79751       0       0\n",
-       "1  4.611665 -215.020314   8.424138  2.80863       0       0\n",
-       "2  4.556650 -214.593236   9.185016  2.81407       0       0\n",
-       "3  4.643091 -213.829769  10.542035  2.82704       0       0\n",
-       "4  4.647302 -214.431592   7.461187  2.82896       0       0"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from scipy.io import loadmat\n",
     "import numpy as np\n",
diff --git a/doc/source/tutorials/03-rendering-along-trajectory.ipynb b/doc/source/tutorials/03-rendering-along-trajectory.ipynb
index 332b5f6..ecff337 100644
--- a/doc/source/tutorials/03-rendering-along-trajectory.ipynb
+++ b/doc/source/tutorials/03-rendering-along-trajectory.ipynb
@@ -12,6 +12,66 @@
     "* the environment (a blender file)\n",
     "* the trajectory formatted for navipy (see 02-recording-animal-trajectory)\n",
     "\n",
+    "## Ploting the position and orientation of the animal\n",
+    "\n",
+    "The trajectory of the animal can be plotted in different manners. Here we will look at two representations:\n",
+    "\n",
+    "* Timeseries\n",
+    "* Lollipop\n",
+    "\n",
+    "### Timeseries\n",
+    "\n",
+    "Plotting a trajectories along the time allows to visualize temporal dependencies between each component of the saccade. For example, flying insects engage in an active vision strategy containing saccades and intersaccades. By ploting the euler's angle along the time, one can observe a step like plot, i.e. a succesion of plateaus (interssacades) and quick change in the angle (saccade).\n",
+    "\n",
+    "The positional and orientational components of the trajectories have different units (unit of distance and unit of angle, respectively). Therefore two different y-axis are necessary. \n",
+    "\n",
+    "We first load a trajectory:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'numpy'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-1-4fa54fb149fb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnavipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrajectories\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mTrajectory\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpkg_resources\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m# Use the trafile from the resources\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;31m# You can adapt this code, by changing trajfile\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m# with your own trajectory file\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/data/data/com.termux/files/usr/lib/python3.6/site-packages/navipy-0.1-py3.6.egg/navipy/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     38\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     39\u001b[0m \"\"\"\n\u001b[0;32m---> 40\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnavipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdatabase\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDataBaseLoad\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     41\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mlogging\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/data/data/com.termux/files/usr/lib/python3.6/site-packages/navipy-0.1-py3.6.egg/navipy/database/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0msqlite3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'numpy'"
+     ]
+    }
+   ],
+   "source": [
+    "from navipy.trajectories import Trajectory\n",
+    "import pkg_resources\n",
+    "# Use the trafile from the resources\n",
+    "# You can adapt this code, by changing trajfile \n",
+    "# with your own trajectory file\n",
+    "trajfile = pkg_resources.resource_filename(\n",
+    "    'navipy',\n",
+    "    'resources/sample_experiment/Lobecke_JEB_2018/Y101_OBFlight_0001.mat')\n",
+    "Trajectory().read_csv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "\n",
     "## Checking the position of the animal within the environment\n",
     "\n",
     "Rendering a trajectory will take time, and thus we want to check - prior to rendering - the correctness of the animal within the environment. The best way to check, is to overlay the trajectory within the blender world, and by rotating the environment, one could look for: part of the trajectory crossing objects, a wrong height, etc... \n",
@@ -29,6 +89,7 @@
     "> to render the trajectory, you can bevel the trajectory with a circle for example. It will create a extrude the circle\n",
     "> along the trajectory and thus creating a 3D shaped. (Don't forget to enable rendering)\n",
     "\n",
+    "\n",
     "## Rendering the trajectory in a database\n",
     "\n",
     "Once we know that the trajectory is correctly placed within the environment, it is time to render along the trajectory. We, however, recommand to render only the first view frame of your trajectory first in order to check for the orientation. Indeed we only checked the position of the animal, but not its orientation. Navipy supports all 24 Euler convention, and also quaternion. You need to figure out which one you used. Sadly we did not find until now an easy way to do it... Having said that, if you \"only\" tracked the yaw of the animal, you can safely use the 'rzyx' convention, here alpha_0 of your trajectory correspond to the yaw of the animal and all other angles are set to 0. \n",
@@ -42,6 +103,13 @@
     "here ```pathtomyworld.blend```, ```'pathtomytrajectory.csv'```, ```pathtodatabase.db``` are the path to your blender environment, to your trajectory, and to the file to store the iamges respectively.\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -168,7 +236,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,
diff --git a/navipy/scripts/blend_overlaytraj.py b/navipy/scripts/blend_overlaytraj.py
index 414286d..80f3415 100644
--- a/navipy/scripts/blend_overlaytraj.py
+++ b/navipy/scripts/blend_overlaytraj.py
@@ -8,11 +8,11 @@ import inspect
 import pkg_resources
 import tempfile
 # Following need to be imported in blender as well
-from navipy.tools.trajectory import Trajectory
+from navipy.trajectories import Trajectory
 
 
 importwithinblender = [
-    'from navipy.tools.trajectory import Trajectory']
+    'from navipy.trajectories import Trajectory']
 
 
 def parser_blend_overlaytraj():
diff --git a/navipy/trajectories/__init__.py b/navipy/trajectories/__init__.py
index 217636e..f476d3d 100644
--- a/navipy/trajectories/__init__.py
+++ b/navipy/trajectories/__init__.py
@@ -507,7 +507,7 @@ class Trajectory(pd.DataFrame):
                   colors=None, step_lollipop=1,
                   offset_lollipop=0, lollipop_marker='o',
                   linewidth=1, lollipop_tail_width=1,
-                  lollipop_head_size=1
+                  lollipop_head_size=1, stickdir='backward'
                   ):
         """ lollipops plot
 
@@ -534,6 +534,7 @@ class Trajectory(pd.DataFrame):
         :param linewidth:
         :param lollipop_tail_width:
         :param lollipop_head_size:
+        :param stickdir: The direction of the stick of the animal (backward or forward) 
         """
         direction = self.facing_direction()
         if colors is None:
@@ -549,7 +550,10 @@ class Trajectory(pd.DataFrame):
                                index=pd.MultiIndex.from_product(
                                    [[0],
                                     ['x', 'y', 'z']]))
-        tailmarker.loc[0, 'x'] = 1
+        if stickdir == 'forward':
+            tailmarker.loc[0, 'x'] = -1
+        else:
+            tailmarker.loc[0, 'x'] = 1
         tail = self.world2body(tailmarker)
         tail = tail.loc[:, 0]
         # Plot the agent trajectory
-- 
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