{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Generate Upsetplots"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "In this notebook we will be generating two upsetplots: the first will plot counts of cells based on if they have an entry for the associated annotations, and the second will plot counts of cells based on their values for the associated annotations."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [],
            "source": [
                "import logging\n",
                "import pandas as pd\n",
                "import numpy as np\n",
                "from itertools import chain, combinations\n",
                "from upsetplot import plot\n",
                "from matplotlib import pyplot as plt\n",
                "from pkg.platy import _get_folder, load_connectome_normal_lcc_annotations"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We import the folder to save our upsetplots and the table of annotations which will help us make our upsetplots"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "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>skids</th>\n",
                            "      <th>side</th>\n",
                            "      <th>class</th>\n",
                            "      <th>segment</th>\n",
                            "      <th>type</th>\n",
                            "      <th>group</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>2015233</td>\n",
                            "      <td>l</td>\n",
                            "      <td>s</td>\n",
                            "      <td>head</td>\n",
                            "      <td>100.0</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>1548290</td>\n",
                            "      <td>l</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>1</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>1318919</td>\n",
                            "      <td>l</td>\n",
                            "      <td>s</td>\n",
                            "      <td>head</td>\n",
                            "      <td>88.0</td>\n",
                            "      <td>15.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>2015241</td>\n",
                            "      <td>l</td>\n",
                            "      <td>s</td>\n",
                            "      <td>head</td>\n",
                            "      <td>100.0</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>1646603</td>\n",
                            "      <td>r</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>3</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>...</th>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "      <td>...</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2696</th>\n",
                            "      <td>1302513</td>\n",
                            "      <td>l</td>\n",
                            "      <td>s</td>\n",
                            "      <td>head</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2697</th>\n",
                            "      <td>1630186</td>\n",
                            "      <td>l</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>2</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2698</th>\n",
                            "      <td>1441779</td>\n",
                            "      <td>r</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>head</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2699</th>\n",
                            "      <td>1671147</td>\n",
                            "      <td>r</td>\n",
                            "      <td>m</td>\n",
                            "      <td>1</td>\n",
                            "      <td>165.0</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2700</th>\n",
                            "      <td>1048573</td>\n",
                            "      <td>l</td>\n",
                            "      <td>i</td>\n",
                            "      <td>3</td>\n",
                            "      <td>N/A</td>\n",
                            "      <td>N/A</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "<p>2701 rows × 6 columns</p>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "        skids side class segment   type group\n",
                            "0     2015233    l     s    head  100.0   N/A\n",
                            "1     1548290    l   N/A       1    N/A   N/A\n",
                            "2     1318919    l     s    head   88.0  15.0\n",
                            "3     2015241    l     s    head  100.0   N/A\n",
                            "4     1646603    r   N/A       3    N/A   N/A\n",
                            "...       ...  ...   ...     ...    ...   ...\n",
                            "2696  1302513    l     s    head    N/A   N/A\n",
                            "2697  1630186    l   N/A       2    N/A   N/A\n",
                            "2698  1441779    r   N/A    head    N/A   N/A\n",
                            "2699  1671147    r     m       1  165.0   N/A\n",
                            "2700  1048573    l     i       3    N/A   N/A\n",
                            "\n",
                            "[2701 rows x 6 columns]"
                        ]
                    },
                    "execution_count": 12,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "folder = _get_folder()\n",
                "annotations = load_connectome_normal_lcc_annotations()\n",
                "annotations.fillna(\"N/A\", inplace=True)\n",
                "annotations"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "The following function returns a series where the indices are all the skids in the annotations table and the values are if they have a value for the category passed in"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [],
            "source": [
                "#returns boolean pandas series: False if element is \"N/A\", else True\n",
                "def has_category(annotations, category=\"side\"):\n",
                "    has_list = []\n",
                "    series_name = \"has_{}\".format(category)\n",
                "    for val in annotations[category]:\n",
                "        if val != \"N/A\":\n",
                "            has_list.append(True)\n",
                "        else:\n",
                "            has_list.append(False)\n",
                "    return pd.Series(index=annotations[\"skids\"], data=has_list, name=series_name)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [],
            "source": [
                "#generate boolean pandas series for the different categories\n",
                "has_categs = {\"has_side\": None, \"has_class\": None, \"has_segment\": None, \"has_type\": None, \"has_group\": None}\n",
                "for key in has_categs:\n",
                "    has_categs[key] = has_category(annotations, category=key.split(\"_\")[1])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "With series of booleans for all our categories, we can concatenate our series to make a dataframe, and call `groupby` which will group the dataframe based on the number of cells for each subset of category values (ex: how many cells that have [\"has_side\"=False, \"has_class\"=False, \"has_segment\"=False, \"has_type\"=False, \"has_group\"=False] and so on)."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "         has_side  has_class  has_segment  has_type  has_group\n",
                        "skids                                                         \n",
                        "2015233      True       True         True      True      False\n",
                        "1548290      True      False         True     False      False\n",
                        "1318919      True       True         True      True       True\n",
                        "2015241      True       True         True      True      False\n",
                        "1646603      True      False         True     False      False\n",
                        "...           ...        ...          ...       ...        ...\n",
                        "1302513      True       True         True     False      False\n",
                        "1630186      True      False         True     False      False\n",
                        "1441779      True      False         True     False      False\n",
                        "1671147      True       True         True      True      False\n",
                        "1048573      True       True         True     False      False\n",
                        "\n",
                        "[2701 rows x 5 columns]\n",
                        "has_side  has_class  has_segment  has_type  has_group\n",
                        "False     False      False        False     False          2\n",
                        "                     True         False     False          1\n",
                        "          True       True         False     False          1\n",
                        "                                  True      False          1\n",
                        "True      False      False        False     False          3\n",
                        "                     True         False     False        908\n",
                        "                                            True          18\n",
                        "                                  True      False          6\n",
                        "                                            True           2\n",
                        "          True       True         False     False        533\n",
                        "                                            True         437\n",
                        "                                  True      False        595\n",
                        "                                            True         194\n",
                        "dtype: int64\n"
                    ]
                }
            ],
            "source": [
                "bool_ids = list(has_categs.values())\n",
                "\n",
                "#boolean dataframe from concatenating the boolean series\n",
                "annotations_bool = pd.concat(bool_ids, axis=1, ignore_index=False, names=\"ID\").fillna(\n",
                "    \"N/A\"\n",
                ")\n",
                "#group the annotations dataframe by the categories and get the number of cells for each subset of category values\n",
                "bool_counts = annotations_bool.groupby(bool_ids).size()\n",
                "print(annotations_bool)\n",
                "print(bool_counts)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 844.444x488.889 with 4 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "#generate the upsetplot of the grouped dataframe and save it\n",
                "plot(bool_counts)\n",
                "plt.savefig(folder / \"broad_categs_upsetplot.png\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We start generating the second upsetplot by using the following function, which determines if all the skids have the particular `name` within the particular `category`"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "metadata": {},
            "outputs": [],
            "source": [
                "#returns boolean pandas series: True if element=name, else False\n",
                "def has_element(annotations, category=\"side\", name=\"l\"):\n",
                "    has_element = []\n",
                "    series_name = \"{}_{}\".format(category, name)\n",
                "    for val in annotations[category]:\n",
                "        if val == name:\n",
                "            has_element.append(True)\n",
                "        else:\n",
                "            has_element.append(False)\n",
                "    return pd.Series(index=annotations[\"skids\"], data=has_element, name=series_name)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "For this upsetplot, we just consider the values that can be passed by the categories `side`, `class` and `segment`, and splice the keys based on the category so we can retrieve the values we want to pass in"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {},
            "outputs": [],
            "source": [
                "#generate boolean pandas series for the different names within their respective category\n",
                "\n",
                "has_sides = {\"has_left\": None, \"has_right\": None, \"has_center\": None}\n",
                "for key in has_sides:\n",
                "    has_sides[key] = has_element(annotations, category=\"side\", name=key.split(\"_\")[1][0])\n",
                "\n",
                "has_classes = {\"has_sensory\": None, \"has_inter\": None, \"has_motor\": None}\n",
                "for key in has_classes:\n",
                "    has_classes[key] = has_element(annotations, category=\"class\", name=key.split(\"_\")[1][0])\n",
                "\n",
                "has_segments = {\"has_seg0\": None, \"has_seg1\": None, \"has_seg2\": None, \"has_seg3\": None}\n",
                "for key in has_segments:\n",
                "    has_segments[key] = has_element(annotations, category=\"segment\", name=key[-1])\n",
                "\n",
                "has_hp = {\"has_head\": None, \"has_pygidium\": None}\n",
                "for key in has_hp:\n",
                "    has_hp[key]= has_element(annotations, category=\"segment\", name=key.split(\"_\")[1])\n",
                "has_all = has_sides | has_classes | has_segments | has_hp"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {},
            "outputs": [],
            "source": [
                "bool_ids = list(has_all.values())\n",
                "\n",
                "#boolean dataframe from concatenating the boolean series\n",
                "annotations_bool = pd.concat(bool_ids, axis=1, ignore_index=False, names=\"ID\").fillna(\n",
                "    \"N/A\"\n",
                ")\n",
                "\n",
                "#group the annotations dataframe by the names and get the number of cells for each subset of names\n",
                "bool_counts = annotations_bool.groupby(bool_ids).size()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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",
                        "text/plain": [
                            "<Figure size 2666.67x800 with 4 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "#generate the upsetplot of the grouped dataframe\n",
                "plot(bool_counts)\n",
                "plt.savefig(folder / \"sub_categs_upsetplot.png\")"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3.9.13 ('platy-data-EVeqgmAk-py3.9')",
            "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": "3.9.14"
        },
        "orig_nbformat": 4,
        "vscode": {
            "interpreter": {
                "hash": "05d7d67d23128fda5aee0f3c1f672c43b20cf6e18657219ebf6bef6cae5bc4b2"
            }
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}