{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/github/wolfffff/chemoecology-tools/blob/main/docs/notebooks/example.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Run if on Colab\n",
    "# !mkdir -p ../example_data/\n",
    "# !curl -o ../example_data/lbal23_metadata.csv https://raw.githubusercontent.com/Wolfffff/chemoecology-tools/main/docs/example_data/lbal23_metadata.csv\n",
    "# !curl -o ../example_data/lbal23_relative_abundance.csv https://raw.githubusercontent.com/Wolfffff/chemoecology-tools/main/docs/example_data/lbal23_relative_abundance.csv\n",
    "# !curl -o ../example_data/user_provided_chemical_metadata.yaml https://raw.githubusercontent.com/Wolfffff/chemoecology-tools/main/docs/example_data/user_provided_chemical_metadata.yaml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Run if you have not already installed chemoeocology-tools\n",
    "# !pip install git+https://github.com/Wolfffff/chemoecology-tools.git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from chemoecology_tools.core import GCMSExperiment\n",
    "from chemoecology_tools.analysis import (\n",
    "    calculate_enrichment_table,\n",
    "    perform_nmds,\n",
    "    perform_lda,\n",
    "    perform_pca,\n",
    "    perform_random_forest,\n",
    "    calculate_compositional_stats,\n",
    ")\n",
    "from chemoecology_tools.visualization import (\n",
    "    plot_nmds,\n",
    "    plot_lda,\n",
    "    plot_pca,\n",
    "    plot_rf_importance,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "USER_PROVIDED_CHEMICAL_METADATA_PATH = \"../example_data/user_provided_chemical_metadata.yaml\"\n",
    "ABUNDANCE_DATA_PATH = \"../example_data/lbal23_relative_abundance.csv\"\n",
    "USER_PROVIDED_SAMPLE_METADATA_PATH = \"../example_data/lbal23_metadata.csv\"\n",
    "ID_COLUMN = \"Bee #\"\n",
    "FILTER_DICT={\n",
    "    \"CHC File Located\": [\"NO\", \"Bleed\"],\n",
    "    \"Quality\": [\"poor\", \"contaminated\"],\n",
    "    \"Nest Code\": [\"E-JS-030\", \"E-JS-033\", \"E-JS-037\", \"E-KO-140\", \"E-KO-143\"]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error fetching PubChem data for Unknown RI2496: 'PUGREST.ServerBusy'\n",
      "Error fetching PubChem data for 11/13-methylpentacosane?: 'PUGREST.ServerBusy'\n",
      "Error fetching PubChem data for Docosene: 'PUGREST.ServerBusy'\n",
      "Error fetching PubChem data for Octacosane: 'PUGREST.ServerBusy'\n",
      "Error fetching PubChem data for Tetracosanolide: 'PUGREST.ServerBusy'\n",
      "Error fetching PubChem data for Nonacosene: 'PUGREST.ServerBusy'\n"
     ]
    }
   ],
   "source": [
    "# Load experimental data with metadata\n",
    "experiment = GCMSExperiment.from_files(\n",
    "    abundance_path=ABUNDANCE_DATA_PATH,\n",
    "    metadata_path=USER_PROVIDED_SAMPLE_METADATA_PATH,\n",
    "    id_col=ID_COLUMN,\n",
    "    filter_dict=FILTER_DICT,\n",
    "    fetch_pubchem=True,\n",
    "    user_chemical_metadata=USER_PROVIDED_CHEMICAL_METADATA_PATH,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unnamed experiment: 84 samples, 48 chemicals measured\n"
     ]
    }
   ],
   "source": [
    "print(experiment)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filter and process data\n",
    "filtered = experiment.filter_trace_compounds(threshold=0.005)\n",
    "relative = filtered.calculate_relative_abundance()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Bee #</th>\n",
       "      <th>Nest Code</th>\n",
       "      <th>CHC File Located</th>\n",
       "      <th>All Nestmates?</th>\n",
       "      <th>Social Phenotype</th>\n",
       "      <th>Date</th>\n",
       "      <th>Reproductivity</th>\n",
       "      <th>Caste</th>\n",
       "      <th>Notes</th>\n",
       "      <th>Brood Notes</th>\n",
       "      <th>...</th>\n",
       "      <th>Ovariole Length</th>\n",
       "      <th>Oocyte Index</th>\n",
       "      <th>DF Width</th>\n",
       "      <th>DF Length (mm)</th>\n",
       "      <th>Behavior Score</th>\n",
       "      <th>Behavior Score Subordinate Classifier</th>\n",
       "      <th>Behavioral Notes</th>\n",
       "      <th>Bead Assay</th>\n",
       "      <th>Dissection Type</th>\n",
       "      <th>CHC Notes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>129</td>\n",
       "      <td>A-KO-053</td>\n",
       "      <td>yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Solitary</td>\n",
       "      <td>6/26/23</td>\n",
       "      <td>Some_rep</td>\n",
       "      <td>Sol_rep</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.103</td>\n",
       "      <td>0.230623</td>\n",
       "      <td>0.531</td>\n",
       "      <td>3.237</td>\n",
       "      <td>No contact</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pilot assay</td>\n",
       "      <td>Pentane</td>\n",
       "      <td>RNAlater ICE</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>135</td>\n",
       "      <td>A-KO-055</td>\n",
       "      <td>yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Solitary</td>\n",
       "      <td>6/26/23</td>\n",
       "      <td>Some_rep</td>\n",
       "      <td>Sol_nr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 pupa collected, squished 2 pupa</td>\n",
       "      <td>...</td>\n",
       "      <td>3.148</td>\n",
       "      <td>0.307814</td>\n",
       "      <td>0.476</td>\n",
       "      <td>2.917</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No assay</td>\n",
       "      <td>No assay</td>\n",
       "      <td>RNAlater ICE</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>137</td>\n",
       "      <td>F-KO-056</td>\n",
       "      <td>yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Solitary</td>\n",
       "      <td>6/26/23</td>\n",
       "      <td>Some_rep</td>\n",
       "      <td>Sol_nr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brood squished</td>\n",
       "      <td>...</td>\n",
       "      <td>2.279</td>\n",
       "      <td>0.237385</td>\n",
       "      <td>0.490</td>\n",
       "      <td>3.177</td>\n",
       "      <td>No contact</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pilot assay</td>\n",
       "      <td>Pentane</td>\n",
       "      <td>RNAlater ICE</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>138</td>\n",
       "      <td>E-SW-001</td>\n",
       "      <td>yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Solitary</td>\n",
       "      <td>6/26/23</td>\n",
       "      <td>Some_rep</td>\n",
       "      <td>Sol_rep</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No brood</td>\n",
       "      <td>...</td>\n",
       "      <td>2.070</td>\n",
       "      <td>0.397101</td>\n",
       "      <td>0.479</td>\n",
       "      <td>3.480</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No assay</td>\n",
       "      <td>No assay</td>\n",
       "      <td>RNAlater ICE</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>139</td>\n",
       "      <td>E-SW-002</td>\n",
       "      <td>yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Solitary</td>\n",
       "      <td>6/26/23</td>\n",
       "      <td>No_rep</td>\n",
       "      <td>Sol_nr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No brood</td>\n",
       "      <td>...</td>\n",
       "      <td>2.133</td>\n",
       "      <td>0.157525</td>\n",
       "      <td>0.522</td>\n",
       "      <td>3.293</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>pilot assay, agitated with tapping and q tip</td>\n",
       "      <td>Mono alkenes</td>\n",
       "      <td>RNAlater ICE</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Bee # Nest Code CHC File Located All Nestmates? Social Phenotype     Date  \\\n",
       "0    129  A-KO-053              yes            Yes         Solitary  6/26/23   \n",
       "1    135  A-KO-055              yes            Yes         Solitary  6/26/23   \n",
       "2    137  F-KO-056              yes            Yes         Solitary  6/26/23   \n",
       "3    138  E-SW-001              yes            Yes         Solitary  6/26/23   \n",
       "4    139  E-SW-002              yes            Yes         Solitary  6/26/23   \n",
       "\n",
       "  Reproductivity    Caste Notes                         Brood Notes  ...  \\\n",
       "0       Some_rep  Sol_rep   NaN                                 NaN  ...   \n",
       "1       Some_rep   Sol_nr   NaN  1 pupa collected, squished 2 pupa   ...   \n",
       "2       Some_rep   Sol_nr   NaN                      Brood squished  ...   \n",
       "3       Some_rep  Sol_rep   NaN                            No brood  ...   \n",
       "4         No_rep   Sol_nr   NaN                            No brood  ...   \n",
       "\n",
       "   Ovariole Length  Oocyte Index  DF Width  DF Length (mm)  Behavior Score  \\\n",
       "0            2.103      0.230623     0.531           3.237      No contact   \n",
       "1            3.148      0.307814     0.476           2.917             NaN   \n",
       "2            2.279      0.237385     0.490           3.177      No contact   \n",
       "3            2.070      0.397101     0.479           3.480             NaN   \n",
       "4            2.133      0.157525     0.522           3.293            Pass   \n",
       "\n",
       "   Behavior Score Subordinate Classifier  \\\n",
       "0                                    NaN   \n",
       "1                                    NaN   \n",
       "2                                    NaN   \n",
       "3                                    NaN   \n",
       "4                                Neutral   \n",
       "\n",
       "                               Behavioral Notes    Bead Assay Dissection Type  \\\n",
       "0                                   pilot assay       Pentane    RNAlater ICE   \n",
       "1                                      No assay      No assay    RNAlater ICE   \n",
       "2                                   pilot assay       Pentane    RNAlater ICE   \n",
       "3                                      No assay      No assay    RNAlater ICE   \n",
       "4  pilot assay, agitated with tapping and q tip  Mono alkenes    RNAlater ICE   \n",
       "\n",
       "  CHC Notes  \n",
       "0       NaN  \n",
       "1       NaN  \n",
       "2       NaN  \n",
       "3       NaN  \n",
       "4       NaN  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered.metadata_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "meta_mask = filtered.metadata_df[\"Caste\"].isin([\"Sol_rep\", \"Sol_nr\"])\n",
    "chem_mask = pd.Series([\n",
    "    filtered.get_chemical_property(c, \"class\") == \"Alkane\"\n",
    "    for c in filtered.chemical_cols\n",
    "], index=filtered.chemical_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unnamed experiment: 21 samples, 9 chemicals measured\n"
     ]
    }
   ],
   "source": [
    "filtered_exp = experiment.filter(\n",
    "    metadata_mask=meta_mask,\n",
    "    chemical_mask=chem_mask\n",
    ")\n",
    "print(filtered_exp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Combine abundance data by chemical metadata...\n",
    "# combined = filtered_exp.combine_chemicals_by_feature(\"class\")"
   ]
  },
  {
   "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>NMDS1</th>\n",
       "      <th>NMDS2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.670753</td>\n",
       "      <td>2.710467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-15.641079</td>\n",
       "      <td>-1.063457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-10.074518</td>\n",
       "      <td>4.100717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.310078</td>\n",
       "      <td>3.628408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.600724</td>\n",
       "      <td>7.657540</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       NMDS1     NMDS2\n",
       "0   0.670753  2.710467\n",
       "1 -15.641079 -1.063457\n",
       "2 -10.074518  4.100717\n",
       "3  11.310078  3.628408\n",
       "4   9.600724  7.657540"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nmds_df = perform_nmds(filtered)\n",
    "nmds_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x1854 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create plots with different groupings\n",
    "# By caste\n",
    "fig1 = plot_nmds(\n",
    "    experiment=filtered,\n",
    "    nmds_coords=nmds_df,\n",
    "    group_col=\"Caste\",\n",
    "    title=\"Chemical Profiles by Caste\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "clr_output = calculate_compositional_stats(filtered)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "results = perform_pca(clr_output) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PCA explained variance ratios: [3.53162722e-01 1.78285414e-01 8.77623197e-02 6.43034507e-02\n",
      " 4.81054684e-02 3.78831753e-02 2.82389037e-02 2.60710224e-02\n",
      " 2.17973502e-02 1.83375154e-02 1.61620581e-02 1.37813931e-02\n",
      " 1.16338884e-02 9.94672142e-03 9.10746467e-03 8.10708761e-03\n",
      " 7.70011676e-03 7.28735491e-03 6.03808246e-03 5.19693220e-03\n",
      " 4.75670924e-03 4.60940463e-03 4.10461136e-03 3.90091043e-03\n",
      " 3.58724810e-03 2.92467841e-03 2.66686918e-03 2.26478208e-03\n",
      " 1.90540880e-03 1.84722874e-03 1.53303962e-03 1.36000268e-03\n",
      " 9.71077172e-04 9.04469882e-04 7.52151016e-04 6.42434388e-04\n",
      " 5.64373939e-04 4.13706697e-04 3.78429755e-04 2.82229042e-04\n",
      " 2.56582144e-04 1.50006025e-04 1.29181746e-04 8.19861429e-05\n",
      " 5.06956306e-05 2.92965155e-05 1.40176067e-05 1.00276624e-05\n",
      " 4.60168581e-31]\n"
     ]
    },
    {
     "data": {
      "image/png": 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eeCI22GCDlbYPgEzZf//9Y+utt44zzzxzmc31v8rOzo4OHTpEXl7eSsgOVh3ZmU4AAFi+kpKShPH//ve/6l86rLXWWvHUU0/FZZddFttvv3106NAh8vPzY+21145BgwbFU089FSeffHLSmhdffHH8+OOPKyV/gJWtqqoqzj///Jg/f351bOjQobHFFltkMCuAVcPbb78dJ598clIjaf/+/ePcc8/NUFYA6Vm60T43t35n0uTk5CTFKioq6rUWwKrkrrvuiptuuikpftppp8XAgQMzkBHAyjVz5sy48MILq8dZWVlx1VVXRZs2bTKYFUDTsvRn4BGR0GT/m9/8Jl588cU49dRTo3fv3tG6deto2bJl9OrVK4YOHRovvPBC7LzzzgnzFy5cGH/605+iqqqq0fMHyKTi4uK44IILYq+99kqpyT4iorKyMl5++eU46qij4owzzkj4LB2om0Z7AGgGlr6T/1edOnWKRx55JDbaaKM652ZnZ8cZZ5wRQ4cOTYgvWrQoRo4c2aB5AjQV9913X7z33nvV4z59+sQpp5ySwYwAVg3PP/98DB06NBYvXpwQ32KLLeLmm2+uteEUoCn69Qlxv8rOrt+vymubt/TTPgBWJ1VVVXH11VfHDTfckPTaEUcc4d/mwGrjggsuiFmzZlWPjzjiiNhxxx0zmBFA01PXZ+AREdttt13cdddd0a5duzrfs8Yaa8Ttt98e22yzTUL8yy+/jJdffrmh0gRocj755JP44x//GE888UTC7zn79+8fN9xwQ7z++uvx2WefxXvvvRePPfZYnHjiiUk3fP7nP/+JQw45JOHJIEDt6ndMDwCwUtX1If2VV14ZXbp0SWmNM844I1577bUYP358dezxxx+PP/3pT9GyZcsGyROgNltuuWW88cYbjbZ+27ZtE8Zff/113HjjjdXjgoKCuOaaazwCD2gWVnbNTMdDDz0UV1xxRdLPpn379o2RI0dGq1atVjQ9gJVm6RPsl268T1Vtp9fn5+fXay2A5q6srCwuvPDC+Ne//pX02mGHHRYXXXRRBrICWPkee+yxeO2116rH66+/fpxzzjkZzAigaarrM/BWrVrFDTfckNLnOnl5eXHNNdfEXnvtldC4f//998cee+zRYLkCNBWTJk2KoUOHxpw5c6pjLVu2jKuvvjr23HPPhPfm5+dH3759o2/fvnHsscfGOeecE2+++Wb16xMnToxTTjklHnroIQcpwTJotAeAeljZDVC1PcJ+0003jQEDBqS8Zm5ubgwePDguuOCC6lhJSUl88MEHSY/UA2hI+fn50bVr15VyrbKysjj77LOjrKysOjZ8+PDYcMMNV8r1AVbUyqyZqaqsrIyrrroqHnjggaTX+vXrF3fccUe0bt06A5kB1N/SzfDLOkVvWTTaA/xizpw5cdppp8WYMWOSXjvuuOPivPPOy0BWACvf5MmT429/+1v1ODc3N6655pooLCzMYFYATVNtn4FHRBxyyCHRqVOnlNdZa621Yu+990644XPs2LGxcOFCh4MAq5yLLrooock+Nzc37rzzzthuu+2WOa9du3Zx1113xcknn5xwU+jHH38cjzzySBx55JGNlTI0exrtAaAeVnYDVG2/gK3PHfi77rprUkyjPbAqufHGG+Obb76pHvfr1y8GDx6cuYQAmrmFCxfGWWedlfBL11/tscceccMNN2goBZqlNdZYI2G8aNGieq2zcOHCpJinxgGrm0mTJsWwYcNi0qRJSa+dddZZMXTo0JWfFEAGVFRUxDnnnJPws+WwYcNi8803z2BWAE1XXTch1edz8F122SWh0b6ioiI+/vjj6N+/f73zA2hq3n///aQb3I8//vjlNtn/Kjs7O6677rrYc889Y+bMmdXxe+65Jw4//PDIzs5u0HxhVaHRHgCagXbt2iXFNttss7TX6dixY3Tr1i2mT59eHav5/wM0Z8XFxXHfffclxMrLy+OMM85Iaf64ceMSxuPHj4/TTz89IbbddtvFEUccsWKJAjQT06ZNixNPPDG+/vrrpNeOOOKIuOCCCzxKFGi2lv539rx58+q1Tm3zOnbsWK+1AJqjd999N04//fSYO3duQjwvLy+uuOKK2H///TOTGEAGvPjii/HJJ58kxL766quk3zHWZdasWQnj559/PsaPH58QO+KII1JupAJo6tZYY43Izc1NelrcpptumvZatX127nNwYFUzevTohHF+fn4MGTIkrTVat24dgwcPjuuvv746Nm3atPj4449j6623bpA8YVWj0R4AmoHaHo3XoUOHeq3VoUOHhF8qzJ49u955ATQlpaWlUVVVlRD7+OOP673e7Nmz44UXXkiIOZ0UWF188cUXMXTo0CguLk6IZ2dnxznnnBPHHXdchjIDaBidO3dOGNc8wSkdM2bMSIql83h7gObsmWeeiQsvvDDKy8sT4m3atIlbbrkltt9++wxlBpAZJSUlSbFXXnml3utNnDgxJk6cmBDbZZdd6r0eQFOTlZUV7du3T/gd5BprrFGvJ2i2b98+KeZzcGBVM3bs2ITx1ltvHW3atEl7nT322COh0T4i4tNPP9VoD3XwrAcAaAbWXnvtpNjSH2ClaulfTJSVldVrHQAAVk3vvfdeHHXUUUlN9i1atIibbrpJkz2wSujevXvC+Oeff046QS8VU6dOTYrV9m94gFXNvffeG+eff37S7yjXXnvtePTRRzXZAwCQknXWWSdhXJ9/m0dEFBQUJMV8Dg6saqZNm5YwXn/99eu1zvrrrx95eXkJMU8BgbpptAeAZmCDDTZIiv3888/1Wmvpx9qvscYa9VoHAIBVzzvvvBNDhw6NBQsWJMQ7deoUDzzwQOy5554ZygygYW244YYJ44qKivjhhx/SXmfSpEkJ444dO9b7CXQAzcWdd94ZV199ddJT5fr27RuPP/549OjRI0OZAQDQ3Cz9OfjixYuTPs9ORW1zfA4OrGoWLVqUMC4sLKz3WkufhL948eJ6rwWrutxMJwAALN8WW2yRFBs/fnwMHDgwrXWWLFmSdBfq0qf4ATRXa6+9dnz99df1nn/++efH008/XT3u169fjBo1qiFSA2gWxo4dGyeddFLSo+432GCDuPvuu53QDKxSNt1006TYuHHj0j4F6rPPPksY9+7de4XyAmjqRo0aFTfeeGNSfODAgXH99dev0If8AM3dAQccEAcccEC95++2224JT0w69dRT47TTTmuI1ACarC222CKeeOKJhNj48eNj6623TmudKVOmJMV8Dg6satq0aROzZs2qHtf3gM6I5BuU2rdvX++1YFXnRHsAaAbWW2+96Nq1a0LsxRdfTHudr7/+OukO10022WSFcgMAoPmbOnVqnHjiiUknlmy++ebx8MMPa7IHVjkdOnSIXr16JcTeeeedtNZYvHhxjB07NiG24447rmhqAE3Wa6+9FldeeWVS/OCDD45bbrlFkz0AAGnbbrvtkmL1+Rz8448/Tor5HBxY1XTq1Clh/MUXX9RrnW+//TbKy8sTYkVFRfXOC1Z1Gu0BoJnYfffdE8ZffPFFjB8/Pq01/vWvfyWMs7Ozo3///iucGwAAzVdFRUWcccYZMXv27IT45ptvHvfdd59TTIBV1oABAxLGr7zySpSWlqY8/6WXXkp6/9JrAqwqpk2bFuecc05UVlYmxA877LC4/PLLIzvbR44AAKRv3XXXjZ49eybEnn/++SgrK0trnWeffTZh3KtXr6SD7ACau6222iph/O2338a4cePSXuell15KivXr16/eecGqzm+9AKCZOOigg5Ji119/fcrzf/zxx6TH7u20007RoUOHFc4NAIDm6957743PPvssIbbWWmvFnXfeGa1bt85QVgCNb//9908Yz5kzJx555JGU5lZUVMQ//vGPhNhWW20VPXr0aKj0AJqUiy++OObPn58Q22WXXeLiiy/OUEYAAKwqBg0alDD+6aef4sEHH0x5/quvvhqff/55Qmy//fZrkNwAmpLddtstKXbzzTentcbcuXPjvvvuS4ittdZasdFGG61QbrAq02gPAM3EJptsEjvvvHNC7LXXXot77713uXPLysrinHPOiQULFiTEjz322AbNEQCA5mXWrFlx5513JsSys7Pj2muvjY4dO2YoK4CVY8MNN4wdd9wxIXbDDTfE2LFjlzv38ssvT3rKnH9jA6uqN998M/773/8mxIqKiuLqq692kj0AACts0KBBSb+LvPHGG+PDDz9c7typU6fGRRddlBBbY401kpr3AVYFO+20U/Tq1Ssh9sYbb8T999+f0vzy8vL405/+lPSE42HDhjVUirBKys10AgBA6s4///wYM2ZMlJSUVMeuvvrqmDVrVpx++umRn5+fNKe4uDjOOeecGDNmTEJ81113jR122KHRcwYAoOl6+OGHY+HChQmxysrKOPzww1d47auuuioOOOCAFV4HoDENHz483n333aisrIyIiNLS0hg2bFhce+21STe7R/xyI/vVV18djz76aEJ8yy23jD333HOl5Aywst19991JseLi4thuu+1WeO1XXnkl1l577RVeBwCA5qt169Zx7rnnxnnnnVcdKysri+OPPz4uvfTS+MMf/lDrvHHjxsVpp50WM2bMSIifcsop0a5du8ZMGSAjsrOz49xzz43jjz8+IX7VVVfFpEmT4rzzzosWLVrUOnfq1Klx7rnnxgcffJAQ79Wrl5uTYDk02gNAM9KjR48YMWJEnHPOOdVNABG/fNg1evToOPDAA2ObbbaJtm3bRnFxcbz99tvx1FNPxbx58xLWKSoqiiuuuGJlpw8AQBPz//1//1+mUwDIqM033zyOP/74+Mc//lEdmzNnTgwdOjR22WWX2GeffaJ79+6xaNGi+Pzzz+Oxxx6LyZMnJ6zRunXruPrqq1d26gArxc8//5x0gAcAADS0/fffPz7++OOEG9sXLVoU55xzTjzwwAOx//77R+/evSMvLy+mTJkSL7/8cjz//POxZMmShHV23HH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      "text/plain": [
       "<Figure size 3000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "pca_coords = results[\"coords\"]\n",
    "explained_var = results[\"explained_variance\"]\n",
    "\n",
    "print(f\"PCA explained variance ratios: {explained_var}\")\n",
    "# Create PCA plot\n",
    "fig2 = plot_pca(\n",
    "    pca_results=results,\n",
    "    experiment=filtered,\n",
    "    group_col=\"Caste\",\n",
    "    title=\"Chemical Profiles by Caste (PCA)\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize group column and title prefix\n",
    "group_col = \"Caste\"\n",
    "title_prefix = \"Chemical Profiles\"\n",
    "\n",
    "# LDA Analysis\n",
    "transformed_data = calculate_compositional_stats(filtered)\n",
    "lda_results = perform_lda(\n",
    "    transformed_data=transformed_data,\n",
    "    experiment=filtered,\n",
    "    group_col=group_col\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_lda = plot_lda(\n",
    "    lda_results=lda_results,\n",
    "    experiment=filtered,\n",
    "    group_col=group_col,\n",
    "    title=f\"{title_prefix} by {group_col} (LDA)\"\n",
    ")\n",
    "\n",
    "pca_results = perform_pca(transformed_data)\n",
    "\n",
    "fig_pca = plot_pca(\n",
    "    pca_results=pca_results,\n",
    "    experiment=filtered,\n",
    "    group_col=group_col,\n",
    "    title=f\"{title_prefix} by {group_col} (PCA)\"\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate enrichment table\n",
    "enrichment_table = calculate_enrichment_table(\n",
    "    experiment=filtered,\n",
    "    group_column='Caste',\n",
    "    class_column='class',\n",
    "    alpha=0.05\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>Chemical Class</th>\n",
       "      <th>Compound</th>\n",
       "      <th>KW_pvalue</th>\n",
       "      <th>Group Bias</th>\n",
       "      <th>Sol_rep</th>\n",
       "      <th>Sol_nr</th>\n",
       "      <th>W</th>\n",
       "      <th>Q</th>\n",
       "      <th>W_dev</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Aldehyde</td>\n",
       "      <td>Eicosanal</td>\n",
       "      <td>0.249934</td>\n",
       "      <td></td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aldehyde</td>\n",
       "      <td>Octadecanal</td>\n",
       "      <td>0.390423</td>\n",
       "      <td></td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "      <td>0.00 ± 0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alkane</td>\n",
       "      <td>Heneicosane</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>Sol_nr, Sol_rep</td>\n",
       "      <td>1.87 ± 0.58</td>\n",
       "      <td>1.72 ± 0.61</td>\n",
       "      <td>0.05 ± 0.00</td>\n",
       "      <td>0.09 ± 0.02</td>\n",
       "      <td>0.08 ± 0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Alkane</td>\n",
       "      <td>Heptacosane</td>\n",
       "      <td>0.043065</td>\n",
       "      <td>W_dev</td>\n",
       "      <td>2.29 ± 0.35</td>\n",
       "      <td>2.15 ± 0.33</td>\n",
       "      <td>2.06 ± 0.18</td>\n",
       "      <td>2.84 ± 0.26</td>\n",
       "      <td>3.35 ± 0.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Alkane</td>\n",
       "      <td>Nonacosane</td>\n",
       "      <td>0.001116</td>\n",
       "      <td>Q, Sol_nr, Sol_rep, W_dev</td>\n",
       "      <td>0.24 ± 0.04</td>\n",
       "      <td>0.22 ± 0.04</td>\n",
       "      <td>0.08 ± 0.01</td>\n",
       "      <td>0.25 ± 0.09</td>\n",
       "      <td>0.22 ± 0.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Chemical Class     Compound  KW_pvalue                 Group Bias  \\\n",
       "7        Aldehyde    Eicosanal   0.249934                              \n",
       "2        Aldehyde  Octadecanal   0.390423                              \n",
       "3          Alkane  Heneicosane   0.000008            Sol_nr, Sol_rep   \n",
       "26         Alkane  Heptacosane   0.043065                      W_dev   \n",
       "33         Alkane   Nonacosane   0.001116  Q, Sol_nr, Sol_rep, W_dev   \n",
       "\n",
       "        Sol_rep       Sol_nr            W            Q        W_dev  \n",
       "7   0.00 ± 0.00  0.00 ± 0.00  0.00 ± 0.00  0.00 ± 0.00  0.00 ± 0.00  \n",
       "2   0.00 ± 0.00  0.00 ± 0.00  0.00 ± 0.00  0.00 ± 0.00  0.00 ± 0.00  \n",
       "3   1.87 ± 0.58  1.72 ± 0.61  0.05 ± 0.00  0.09 ± 0.02  0.08 ± 0.02  \n",
       "26  2.29 ± 0.35  2.15 ± 0.33  2.06 ± 0.18  2.84 ± 0.26  3.35 ± 0.33  \n",
       "33  0.24 ± 0.04  0.22 ± 0.04  0.08 ± 0.01  0.25 ± 0.09  0.22 ± 0.03  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enrichment_table.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "rf_results = perform_random_forest(\n",
    "    transformed_data=transformed_data,\n",
    "    experiment=filtered,\n",
    "    group_col=\"Caste\",\n",
    "    test_size=0.3\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/wolf/git/chemoecology-tools/src/chemoecology_tools/visualization/plotting.py:270: UserWarning: The figure layout has changed to tight\n",
      "  plt.tight_layout()\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 3600x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rf_fig = plot_rf_importance(rf_results, title=\"Random Forest Feature Importance\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.13.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}