{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = pd.read_csv('Datasets/Machine Learning/Birds/All_Invasive_Birds.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Common name\n",
       "Mute Swan               117831\n",
       "Pheasant                 92462\n",
       "Canada Goose             50344\n",
       "Rock Dove                31449\n",
       "Red-legged Partridge     22395\n",
       "                         ...  \n",
       "Red-headed Bunting           1\n",
       "Pallas's Rosefinch           1\n",
       "Ross's Goose                 1\n",
       "Black Kite                   1\n",
       "Redhead                      1\n",
       "Length: 87, dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Returns pandas Series datatype\n",
    "birds = data.value_counts('Common name')\n",
    "top_birds_list = birds[0:20].index.to_list()\n",
    "birds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For each bird on the list, retrieve all rows with their corresponding common name \n",
    "# as a separate dataframe and export dataframe to csv file\n",
    "\n",
    "PATH = 'Datasets/Machine Learning/Birds/'\n",
    "for bird in top_birds_list:\n",
    "    data.loc[data['Common name'] == bird].to_csv(PATH+bird.replace(' ','_')+'.csv')\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.13 ('env': 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": "3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC v.1929 64 bit (AMD64)]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "f025c48a9b67ab76bdc0400dfa0f9ba99120976b4a6ec6a63d1c946516165c91"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}