paymentShip.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "601aba55",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "00a9d85e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>aaaa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2976</th>\n",
       "      <td>BHL (Prepaid)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4287</th>\n",
       "      <td>Trackon (Prepaid)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1217</th>\n",
       "      <td>Dehlivery (COD)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4111</th>\n",
       "      <td>Trackon (Prepaid)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>806</th>\n",
       "      <td>Dehlivery (Prepaid)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     aaaa\n",
       "2976        BHL (Prepaid)\n",
       "4287    Trackon (Prepaid)\n",
       "1217      Dehlivery (COD)\n",
       "4111    Trackon (Prepaid)\n",
       "806   Dehlivery (Prepaid)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"PaymentShip.csv\", names=['aaaa'], header=None)\n",
    "data.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8a622c7",
   "metadata": {},
   "source": [
    "map function to the pandas columns,\n",
    "define function\n",
    "add list as new column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2a344bdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'COD'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = data.aaaa.map(lambda x: \"COD\" if \"cod\" in x.lower() else \"PREPAID\")\n",
    "s[18]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "72352c95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>aaaa</th>\n",
       "      <th>payment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1492</th>\n",
       "      <td>Dehlivery (Prepaid)</td>\n",
       "      <td>PREPAID</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>BHL (Prepaid)</td>\n",
       "      <td>PREPAID</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3653</th>\n",
       "      <td>BHL (Prepaid)</td>\n",
       "      <td>PREPAID</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4083</th>\n",
       "      <td>IndiaPost(Prepaid)</td>\n",
       "      <td>PREPAID</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Pickrr (PAID)</td>\n",
       "      <td>PREPAID</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     aaaa  payment\n",
       "1492  Dehlivery (Prepaid)  PREPAID\n",
       "1994        BHL (Prepaid)  PREPAID\n",
       "3653        BHL (Prepaid)  PREPAID\n",
       "4083   IndiaPost(Prepaid)  PREPAID\n",
       "21          Pickrr (PAID)  PREPAID"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['payment'] = s\n",
    "data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "75934b44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'asdfgh(jkl)dsfa'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = \"ASdfgh (jkl) Dsfa\"\n",
    "\"\".join(a.lower().split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "58379170",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1\n",
       "1       0\n",
       "2       1\n",
       "3       1\n",
       "4       1\n",
       "       ..\n",
       "4291    1\n",
       "4292    1\n",
       "4293    1\n",
       "4294    1\n",
       "4295    1\n",
       "Name: aaaa, Length: 4296, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s2 = data.aaaa.map(lambda x: 0 if \"shoppickup\" in \"\".join(x.lower().split()) else 1)\n",
    "s2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1f162d7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>payment</th>\n",
       "      <th>ship</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4291</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4292</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4293</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4294</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4295</th>\n",
       "      <td>PREPAID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4296 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      payment  ship\n",
       "0     PREPAID     1\n",
       "1     PREPAID     0\n",
       "2     PREPAID     1\n",
       "3     PREPAID     1\n",
       "4     PREPAID     1\n",
       "...       ...   ...\n",
       "4291  PREPAID     1\n",
       "4292  PREPAID     1\n",
       "4293  PREPAID     1\n",
       "4294  PREPAID     1\n",
       "4295  PREPAID     1\n",
       "\n",
       "[4296 rows x 2 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['ship'] = s2\n",
    "data = data.drop('aaaa', axis=1)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e26693d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv(\"fixedPaymentShip.csv\", header=None, index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d33dd8a8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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