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FindZipCode.ipynb

@@ -0,0 +1,226 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "c0e537d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geocoder\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "550510ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "keys = 'XAOoYswg87hHtrUL1JOq~iC_jT9iuSGb6pvBm-Xq76g~AifObMKF8shOCFYk33SvWKVznrEUPI925Sfco-cNrWXRjIBpcDfnLHSoB3yL6K_e'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "760e045e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# function for converting addresses to zipcodes\n",
+    "def zipcode(i):\n",
+    "    g = geocoder.bing(i, key= keys)\n",
+    "    h = geocoder.bing([g.lat,g.lng], method ='reverse',key=keys)\n",
+    "    return h.postal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "cfc3a3d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_excel('addresses.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "79d38395",
+   "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>address</th>\n",
+       "      <th>zipcode</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>559 Ng Duy Trinh P. Binh Trung Dong, Tp. Thu D...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Lý Tự Trọng, Bến Nghé, Quận 1, Thành phố Hồ Ch...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>30-36 Đ. Phan Bội Châu, Phường Bến Thành, Quận...</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                             address  zipcode\n",
+       "0  559 Ng Duy Trinh P. Binh Trung Dong, Tp. Thu D...      NaN\n",
+       "1  Lý Tự Trọng, Bến Nghé, Quận 1, Thành phố Hồ Ch...      NaN\n",
+       "2  30-36 Đ. Phan Bội Châu, Phường Bến Thành, Quận...      NaN"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a059e123",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# populating zipcodes\n",
+    "l=0\n",
+    "for a,z in zip(df.address,df.zipcode):\n",
+    "    df.iloc[l,1]=zipcode(a)\n",
+    "    l+=1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "3d762623",
+   "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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+       "    .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>address</th>\n",
+       "      <th>zipcode</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>559 Ng Duy Trinh P. Binh Trung Dong, Tp. Thu D...</td>\n",
+       "      <td>71006</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Lý Tự Trọng, Bến Nghé, Quận 1, Thành phố Hồ Ch...</td>\n",
+       "      <td>71009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>30-36 Đ. Phan Bội Châu, Phường Bến Thành, Quận...</td>\n",
+       "      <td>71009</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                             address zipcode\n",
+       "0  559 Ng Duy Trinh P. Binh Trung Dong, Tp. Thu D...   71006\n",
+       "1  Lý Tự Trọng, Bến Nghé, Quận 1, Thành phố Hồ Ch...   71009\n",
+       "2  30-36 Đ. Phan Bội Châu, Phường Bến Thành, Quận...   71009"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "05b736bd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
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+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}