psqldf_multiple_df_with_dots_join.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pandasql import sqldf as psql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1=pd.read_csv(\"df1\", sep=\"\\t\")\n",
    "df2=pd.read_csv(\"df2\", sep=\"\\t\")\n",
    "df3=pd.read_csv(\"df3\", sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Seq1.id  Seq2.id\n",
      "0  seq1.01  seq5.02\n",
      "1  seq2.01  Seq6.02\n",
      "2  seq3.01  Seq7.02\n",
      "3  seq4.01  Seq8.02\n",
      "  Seq.1.id\n",
      "0  seq1.01\n",
      "1  seq2.01\n",
      "2  seq4.01\n",
      "  Seq.2.id\n",
      "0  seq5.02\n",
      "1  Seq6.02\n",
      "2  Seq7.02\n"
     ]
    }
   ],
   "source": [
    "print(df1)\n",
    "print(df2)\n",
    "print(df3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "        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>Seq1.id</th>\n",
       "      <th>Seq2.id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>seq1.01</td>\n",
       "      <td>seq5.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>seq2.01</td>\n",
       "      <td>Seq6.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Seq1.id  Seq2.id\n",
       "0  seq1.01  seq5.02\n",
       "1  seq2.01  Seq6.02"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "psql('select [Seq1.id],[Seq2.id] from df1 inner join df2 on df1.[Seq1.id]=df2.[Seq.1.id] inner join df3 on df1.[Seq2.id]=df3.[Seq.2.id]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "frames = [df1, df2, df3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[   Seq1.id  Seq2.id\n",
       " 0  seq1.01  seq5.02\n",
       " 1  seq2.01  Seq6.02\n",
       " 2  seq3.01  Seq7.02\n",
       " 3  seq4.01  Seq8.02,   Seq.1.id\n",
       " 0  seq1.01\n",
       " 1  seq2.01\n",
       " 2  seq4.01,   Seq.2.id\n",
       " 0  seq5.02\n",
       " 1  Seq6.02\n",
       " 2  Seq7.02]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frames"
   ]
  },
  {
   "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>Seq1.id</th>\n",
       "      <th>Seq2.id</th>\n",
       "      <th>Seq.1.id</th>\n",
       "      <th>Seq.2.id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>seq1.01</td>\n",
       "      <td>seq5.02</td>\n",
       "      <td>seq1.01</td>\n",
       "      <td>seq5.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>seq2.01</td>\n",
       "      <td>Seq6.02</td>\n",
       "      <td>seq2.01</td>\n",
       "      <td>Seq6.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>seq3.01</td>\n",
       "      <td>Seq7.02</td>\n",
       "      <td>seq4.01</td>\n",
       "      <td>Seq7.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Seq1.id  Seq2.id Seq.1.id Seq.2.id\n",
       "0  seq1.01  seq5.02  seq1.01  seq5.02\n",
       "1  seq2.01  Seq6.02  seq2.01  Seq6.02\n",
       "2  seq3.01  Seq7.02  seq4.01  Seq7.02"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " pd.concat(frames,join='inner', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>Seq1.id</th>\n",
       "      <th>Seq2.id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>seq2.01</td>\n",
       "      <td>Seq6.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>seq1.01</td>\n",
       "      <td>seq5.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Seq1.id  Seq2.id\n",
       "0  seq2.01  Seq6.02\n",
       "1  seq1.01  seq5.02"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.merge(df2, left_on='Seq1.id', right_on='Seq.1.id', sort=True, how='inner').merge(df3,left_on='Seq2.id', right_on='Seq.2.id',sort=True, how=\"inner\").loc[:,\"Seq1.id\":\"Seq2.id\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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