{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-15T21:37:13.941144Z",
     "start_time": "2019-03-15T21:37:11.881901Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/cube/tsainbur/conda_envs/tpy3/lib/python3.6/site-packages/tqdm/autonotebook/__init__.py:14: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
      "  \" (e.g. in jupyter console)\", TqdmExperimentalWarning)\n"
     ]
    }
   ],
   "source": [
    "from birdbrain.atlas import atlas\n",
    "from birdbrain.utils import um_to_vox\n",
    "import numpy as np\n",
    "from birdbrain.visualization.plotting_2d import widget_controllers_2d"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load data, create atlas object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-15T21:37:13.951039Z",
     "start_time": "2019-03-15T21:37:13.948112Z"
    }
   },
   "outputs": [],
   "source": [
    "regions_to_smooth = ['Arcopallium', 'Auditory1', 'Auditory2', 'Olfactory',\n",
    "       'Somatosensory_spinal_system_and_body_representation',\n",
    "       'Somatosensory_trigeminal', 'Somatosensory_wulst', 'Visual_aos',\n",
    "       'Visual_isthmic', 'Visual_thalamofugal', 'Visual_wulst'] + ['Brain']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-15T21:37:50.612270Z",
     "start_time": "2019-03-15T21:37:13.952633Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data already download\n",
      "Getting voxel data from .img files...\n"
     ]
    },
    {
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r"
     ]
    },
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     "metadata": {},
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      "\r"
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      "\r"
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     "output_type": "stream",
     "text": [
      "\r"
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    },
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     "output_type": "stream",
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      "\r"
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    {
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     "output_type": "stream",
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      "\r"
     ]
    },
    {
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r"
     ]
    },
    {
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "Getting location for each nucleus/region from voxel data...\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "Atlas created\n"
     ]
    }
   ],
   "source": [
    "dset_dir = '../../data/processed/pigeon/'\n",
    "\n",
    "pigeon_atlas = atlas(\n",
    "    species = 'pigeon',\n",
    "    dset_dir = dset_dir,\n",
    "    um_mult = 1,\n",
    "    smoothing = regions_to_smooth,\n",
    "    updated_y_sinus = [0, 0, 0]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-15T21:41:10.194904Z",
     "start_time": "2019-03-15T21:41:10.177664Z"
    }
   },
   "outputs": [
    {
     "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 th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Slu-ipc-imc-left</th>\n",
       "      <td>Slu-ipc-imc-left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rotundus</th>\n",
       "      <td>Rotundus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tectum-right</th>\n",
       "      <td>Tectum-right</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wulst_ha_hi_hd-frontal-from-a13</th>\n",
       "      <td>Wulst_ha_hi_hd-frontal-from-a13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gld-and-rotundus</th>\n",
       "      <td>Gld-and-rotundus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nbor-lentiformis-mesencephali</th>\n",
       "      <td>Nbor-lentiformis-mesencephali</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Isthmo-opticus</th>\n",
       "      <td>Isthmo-opticus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gc_dlp_diva</th>\n",
       "      <td>Gc_dlp_diva</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Entopallium</th>\n",
       "      <td>Entopallium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prv-and-basalis</th>\n",
       "      <td>Prv-and-basalis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nucleus-taeniae</th>\n",
       "      <td>Nucleus-taeniae</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Slu-ipc-imc-right</th>\n",
       "      <td>Slu-ipc-imc-right</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N-pontis-medialis</th>\n",
       "      <td>N-pontis-medialis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brainsurface_right</th>\n",
       "      <td>Brainsurface_right</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tectum-left</th>\n",
       "      <td>Tectum-left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brainsurface_left</th>\n",
       "      <td>Brainsurface_left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visual-wulst_ha_hi_hd-until-a13</th>\n",
       "      <td>Visual-wulst_ha_hi_hd-until-a13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ct</th>\n",
       "      <td>Ct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>T2</th>\n",
       "      <td>T2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>T2star</th>\n",
       "      <td>T2star</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Auditory1</th>\n",
       "      <td>Auditory1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Auditory2</th>\n",
       "      <td>Auditory2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Olfactory</th>\n",
       "      <td>Olfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visual_thalamofugal</th>\n",
       "      <td>Visual_thalamofugal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Somatosensory_wulst</th>\n",
       "      <td>Somatosensory_wulst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Somatosensory_spinal_system_and_body_representation</th>\n",
       "      <td>Somatosensory_spinal_system_and_body_represent...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Somatosensory_trigeminal</th>\n",
       "      <td>Somatosensory_trigeminal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hippocampus</th>\n",
       "      <td>Hippocampus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visual_isthmic</th>\n",
       "      <td>Visual_isthmic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arcopallium</th>\n",
       "      <td>Arcopallium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visual_wulst</th>\n",
       "      <td>Visual_wulst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visual_aos</th>\n",
       "      <td>Visual_aos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brain</th>\n",
       "      <td>Brain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nucleus_taeniae</th>\n",
       "      <td>Nucleus_taeniae</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visual_tectofugal</th>\n",
       "      <td>Visual_tectofugal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                type_\n",
       "Slu-ipc-imc-left                                                                     Slu-ipc-imc-left\n",
       "Rotundus                                                                                     Rotundus\n",
       "Tectum-right                                                                             Tectum-right\n",
       "Wulst_ha_hi_hd-frontal-from-a13                                       Wulst_ha_hi_hd-frontal-from-a13\n",
       "Gld-and-rotundus                                                                     Gld-and-rotundus\n",
       "Nbor-lentiformis-mesencephali                                           Nbor-lentiformis-mesencephali\n",
       "Isthmo-opticus                                                                         Isthmo-opticus\n",
       "Gc_dlp_diva                                                                               Gc_dlp_diva\n",
       "Entopallium                                                                               Entopallium\n",
       "Prv-and-basalis                                                                       Prv-and-basalis\n",
       "Nucleus-taeniae                                                                       Nucleus-taeniae\n",
       "Slu-ipc-imc-right                                                                   Slu-ipc-imc-right\n",
       "N-pontis-medialis                                                                   N-pontis-medialis\n",
       "Brainsurface_right                                                                 Brainsurface_right\n",
       "Tectum-left                                                                               Tectum-left\n",
       "Brainsurface_left                                                                   Brainsurface_left\n",
       "Visual-wulst_ha_hi_hd-until-a13                                       Visual-wulst_ha_hi_hd-until-a13\n",
       "Ct                                                                                                 Ct\n",
       "T2                                                                                                 T2\n",
       "T2star                                                                                         T2star\n",
       "Auditory1                                                                                   Auditory1\n",
       "Auditory2                                                                                   Auditory2\n",
       "Olfactory                                                                                   Olfactory\n",
       "Visual_thalamofugal                                                               Visual_thalamofugal\n",
       "Somatosensory_wulst                                                               Somatosensory_wulst\n",
       "Somatosensory_spinal_system_and_body_representa...  Somatosensory_spinal_system_and_body_represent...\n",
       "Somatosensory_trigeminal                                                     Somatosensory_trigeminal\n",
       "Hippocampus                                                                               Hippocampus\n",
       "Visual_isthmic                                                                         Visual_isthmic\n",
       "Arcopallium                                                                               Arcopallium\n",
       "Visual_wulst                                                                             Visual_wulst\n",
       "Visual_aos                                                                                 Visual_aos\n",
       "Brain                                                                                           Brain\n",
       "Nucleus_taeniae                                                                       Nucleus_taeniae\n",
       "Visual_tectofugal                                                                   Visual_tectofugal"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pigeon_atlas.voxel_data[['type_']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-15T21:37:50.945135Z",
     "start_time": "2019-03-15T21:37:50.615392Z"
    }
   },
   "outputs": [],
   "source": [
    "# The T2 voxels in this dataset are not the same as the delineations for some reason... as a temporary fix I just cut off 1 voxel...\n",
    "pigeon_atlas.voxel_data.loc['T2', 'voxels'] = pigeon_atlas.voxel_data.loc['T2', 'voxels'][:,:,1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-15T21:37:50.953272Z",
     "start_time": "2019-03-15T21:37:50.947515Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Arcopallium' 'Auditory1' 'Auditory2' 'Olfactory'\n",
      " 'Somatosensory_spinal_system_and_body_representation'\n",
      " 'Somatosensory_trigeminal' 'Somatosensory_wulst' 'Visual_aos'\n",
      " 'Visual_isthmic' 'Visual_thalamofugal' 'Visual_wulst']\n",
      "['Angularis' 'Arcopallium MLd' 'Basalis' 'Cortex piriformis'\n",
      " 'Cortex prepiriformis' 'Cuneatus Gracilis' 'DIVA' 'DLP' 'Field L2'\n",
      " 'GLd_left' 'GLd_right' 'Globus pallidus' 'HA' 'HI - HD' 'HI -HD' 'Imc'\n",
      " 'Ipc' 'LLd' 'LLv' 'Laminaris' 'Lentiformis mesencephali'\n",
      " 'Magnocellularis' 'N. taeniae amygdala (see olfactory system)'\n",
      " 'Olfactory Bulb' 'Oliva superior' 'Ovoidalis' 'PrV' 'Rotundus' 'SLu'\n",
      " 'Striatum' 'nBOR']\n"
     ]
    }
   ],
   "source": [
    "# the only delineation for zebra finch is nuclei\n",
    "print(np.unique(list(pigeon_atlas.brain_labels.type_)))\n",
    "print(np.unique(list(pigeon_atlas.brain_labels.index)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-15T21:37:51.048789Z",
     "start_time": "2019-03-15T21:37:50.954848Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Arcopallium', 'Auditory1', 'Auditory2', 'Olfactory',\n",
       "       'Somatosensory_spinal_system_and_body_representation',\n",
       "       'Somatosensory_trigeminal', 'Somatosensory_wulst', 'Visual_aos',\n",
       "       'Visual_isthmic', 'Visual_thalamofugal', 'Visual_wulst'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# all of the different subsets of delineations available \n",
    "all_r2p = np.unique(pigeon_atlas.region_vox.type_)\n",
    "all_r2p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-15T21:37:51.205556Z",
     "start_time": "2019-03-15T21:37:51.050283Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'medial-lateral': 0, 'anterior-posterior': 0, 'dorsal-ventral': 0}\n"
     ]
    },
    {
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      },
      "text/plain": [
       "FloatSlider(value=0.0, description='medial-lateral:', max=10080.0, min=-10320.0, step=100.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\n",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "widget_controllers_2d(pigeon_atlas, regions_to_plot=all_r2p, brain_masked_image='T2');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}