Pandas Shenanigans

ech.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "\n",
    "class SubclassedSeries(pd.Series):\n",
    "    # normal properties\n",
    "    _metadata = ['tolerance']\n",
    "\n",
    "    @property\n",
    "    def _constructor(self):\n",
    "        return SubclassedSeries\n",
    "\n",
    "    @property\n",
    "    def _constructor_expanddim(self):\n",
    "        return SubclassedDataFrame\n",
    "\n",
    "class SubclassedDataFrame(pd.DataFrame):\n",
    "    def __init__(self, *args, **kw):\n",
    "        super(SubclassedDataFrame, self).__init__(*args, **kw)\n",
    "        \n",
    "    @property\n",
    "    def _constructor(self):\n",
    "        return SubclassedDataFrame\n",
    "\n",
    "    @property\n",
    "    def _constructor_sliced(self):\n",
    "        return SubclassedSeries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test1</th>\n",
       "      <th>test2</th>\n",
       "      <th>test3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   test1  test2  test3\n",
       "0      5     22     33"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = SubclassedDataFrame.from_dict([{'test1': 5, 'test2': 22, 'test3' : 33}])\n",
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(__main__.SubclassedSeries,\n",
       " __main__.SubclassedSeries,\n",
       " __main__.SubclassedSeries)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(d.loc[0]), type(d['test1']), type(d.iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def gettype(row):\n",
    "    return type(row)\n",
    "\n",
    "def changetype(row):\n",
    "    row.__class__ = SubclassedSeries\n",
    "    return type(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    <class 'pandas.core.series.Series'>\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# this is a problem\n",
    "d.apply(gettype, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    <class '__main__.SubclassedSeries'>\n",
       "dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use geopandas style type change\n",
    "d.apply(changetype, axis=1)"
   ]
  }
 ],
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