known_long_period_pulsators.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "conceptual-douglas",
   "metadata": {},
   "outputs": [],
   "source": [
    "import swasputils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "invisible-mills",
   "metadata": {},
   "outputs": [],
   "source": [
    "classifications = swasputils.AggregatedClassifications()\n",
    "classifications.add_classification_labels()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "beginning-consideration",
   "metadata": {},
   "outputs": [],
   "source": [
    "pulsators = classifications.pulsators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "pleasant-coffee",
   "metadata": {},
   "outputs": [],
   "source": [
    "pulsators.df = pulsators.df[pulsators.df['Period'] >= 100 * swasputils.SECONDS_PER_DAY]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "informed-transsexual",
   "metadata": {},
   "outputs": [],
   "source": [
    "pulsators.add_vsx_types()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "personalized-negotiation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aBwLPA74+NMDHkORnqurqJIdX1bTPXzz3tZ4NvKuqfnnM15lUkvuY/0shwMFVtagtzjG+YGfVfguwhW4LKcB9wH+oqiE78m6oqmNnzd8NbBixO4okZ1XVB6dYbw1wRnWDAhbzvGdX1Zf66SdU1Q9m3XdCVf3NgLZMOijhjqqaaFTKGDVh/+hC+TjwCnj4l/z3wK8Bx9Lt+V/0KIeqmvromn4Exkeq6uZ0w6A+DzwIHJbk7Kq6cIqvtZS+yycl2QU80H+Rva6q/ucS2zP1TfR+38HdVfWNfv6X6L6472TgF3dV7WvTd9GqasM0681I8pvAicBLZ/Z7JHkG8KEkh1XV+xdZcrm7o2DYPoWZ8dBvpdtKvBS4AngbcDZwA91O48X4I+CF/fTnZ01D9zf6wj2esbB/MeHj/ivdCJqVqrlfjEK5cdb0x+j+eWfmb1jp9s1qy82zps8CPtNPPxm4fmDNY4DP0nXFvB84gm6H4T3A2wfW/ALw7H76xcDVU/jdxxgpdB1wWD/9Erpzyb8GeB/wJyv9eS/Q9mcBn1jC82+b770DDga+PKDelXR9yVfOun1u5jbSe3D3wOddApwP/CrdkMIrgKuBYwfWu36+6fnmH4u3FR8HTjcmdmZL4CT6nRq9/WELYcbsHSwn0w++r34NcqBP0K1BvIZuJMt1dMPLnllVQw8OeqD6TcqquoZ975CZ1BOq6vyquq2qPkTXrbClltC/Sjf0a2Yt+3XA1qq6uKreDTxzqQ2ehjHHqs/33lXV39O9t4v1b4A3VNXLqupldAF5P92KwaBx+hMY2vf6jKp6U1X9Z7od4huBV1XVDVNox9w2TbV/OFM6yGyaNfeHgLwQuDrJN4G/pzv4hiTPBP7vSjZsju8keRXd2ueJwJsB+i+foQfJjDGUbvZogT3mq+r3BtQcYxN9TZIDquoBui/uzbPu2x/+LqH7gp29c/A6ui/cNyzxy+ueJCdV1aOOyEvycrrRGYs19W7IvtY+9ykMqQk8PPywqh7sh8/eN7AWwJFJPty3aWZ6po1PGVJwpC7DUUYKrfg/SlX9drpDS9cDn61+24duGN2vrVzL9vCrdEMRn0x3UMjMmvdJwGUDa44RjHOHKM2eH7pGspPuj2ymnd/g0X90Q0aMtPDFPdZY9V8HLknyV3RDUovuYK4T6Q68Wqx5t2aAi5PcMLSRNeV9Cr0XJPluPx3g4H5+6ACDd86anjviaugIrDG+uEdZGVjxUSir2RhDKBd4vbNqwMiBMUYK9XVO4JEv7r/rl/0E8MSBX15TleRLdJv5M5/PBXSHky9552C6E6D9It1IptCdRuGCIf/MSW6i60N+oG/z5qr6y5n7qur5+67Qrv59PKSqds9Zvg747sD384aa8qiesUYKGeATSvIR9rEGW1W/PqDmKMG4j9db9Fjo/nnXAa+oqm/3m+if5pFN9OfUwPOh7O9W4At26FC63wReCXwTOAp4YVVVvzWzrapOnGY79ydJtgKX15zzFCV5A935i/7VgJpT/+Iea2XAAJ9QFji5VFVtG1BzWYMxyd1V9dQBz7ux+oNW0p3gaHdVvaeff9SaxSJqzoTjQs6vqk8ttv40jLjlMXso3SXAf+/n30k38mrR3Sj7+9bMWJLcUlXzniIiyc1V9bwBNcc4uHCUlQEDfAWNEYwLvN7QNfCpb6JngSPoZvlOVa1In/hYX7DpziXzf+j6Q0+iO6T8QODMJYzGWJWS3FpVz1nsfQvUHOPgwlFWBlZ8J2YrssB5xKvq1QPKTn0kxkgjB8bY4XgvU+67HMEoOwfphtL9Y4Akn6Tv+ljiaIzVaoyTzI0xqmeUkUIG+OR+EribLsyuYS+HVy/S1INxjJEDI40U+jDdGSPnnmDsZOCngEX3XY5grKGO0x5Kt5qNcZK5Mb64R1kZsAtlQv0OppPpdkQcQzd08MKqunmJde273PO+QX2X0zbWzsEkD/LIuXpmtoy+x/ChdKtaussIvoVHTjJ3M/DRGn6SuTG6DEcZKeQa+IRqnHOMU/OcbKf6c4Q/xu1rC2Z/OEJ4tGMUqmrNNNqnTlXdC5yT/lKEc7vlBhijy3CU4x5cA1+E7HmO8UuB86o/JaYml+Rq4J176bv83aoadJk6rS79QW/n0I3ieRzdisGDdCeee+8S6k59y3iUmgb4ZDLSOcZXq36v/EV05+3Yo++yuvO4SPuU5O103Vybq+pr/bJn0B31eHkNP6dQEwzwCWUZzjG+2mTKF8jQ6pPuos0n15xz3/fdKZ+tZbh03UqyD3xCNcI5xle7PqjPAcgjF8iQFuPxc8Mbun7wdFeOekwzlLQiknw8yfP66R+lO5n/p4Drk7x+JdumpuzrOppDrrHZFLtQtCJmDxVMd8Hkl1bV6UmeDPz5Y33TV9MxZ0jmo+6iu2jGY3ot3C4UrZS5F8j4Y+gukNENLJAWttqHZNqFopXynSSvSnc+9BPpxtgv9QIZ0qriGrhWyhgXyJBWFfvAJalRroFrRYxxgQxptTHAtVKGXq9QUs8uFElqlGvgWhEjXSBDWlUMcK2UMS6QIa0qdqFoRYx1gQxpNfFAHq2Iqnqwqi6vqk3ACcBX6C6QMfhCCdJqYxeKVsw8F8j4MHteI1PSXtiFohXhBTKkpTPAtSK8QIa0dAa4JDXKnZiS1CgDXJIaZYBLUqMMcElq1P8HHs1UqJu4b+EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pulsators.df['VSX Type'].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fossil-clinton",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "171"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pulsators.df[pulsators.df['VSX Type'].notna()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "normal-edwards",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1495"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pulsators.df[pulsators.df['VSX Type'].isna()])"
   ]
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}