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@@ -4,4 +4,5 @@ __pycache__/ | |
.ipynb_checkpoints/ | ||
.ssl/ | ||
data/countries/dataset.sqlite3 | ||
env/ | ||
env/ | ||
.zed/ |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import requests\n", | ||
"import pandas as pd\n", | ||
"import sqlite3" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"server = \"https://euswimapp.com/api/v1/beaches\"" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"data = requests.get(server, headers={\"Accept\": \"application/json, text/javascript, */*; q=0.01\"})\n", | ||
"result = data.json()['beaches']" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 8, | ||
"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>name</th>\n", | ||
" <th>temperature</th>\n", | ||
" <th>location.latitude</th>\n", | ||
" <th>location.longitude</th>\n", | ||
" <th>water_quality.classification</th>\n", | ||
" <th>water_quality.timestamp</th>\n", | ||
" </tr>\n", | ||
" <tr>\n", | ||
" <th>id</th>\n", | ||
" <th></th>\n", | ||
" <th></th>\n", | ||
" <th></th>\n", | ||
" <th></th>\n", | ||
" <th></th>\n", | ||
" <th></th>\n", | ||
" </tr>\n", | ||
" </thead>\n", | ||
" <tbody>\n", | ||
" <tr>\n", | ||
" <th>4</th>\n", | ||
" <td>Ballyholme Beach</td>\n", | ||
" <td>None</td>\n", | ||
" <td>54.668352</td>\n", | ||
" <td>-5.637678</td>\n", | ||
" <td>Excellent</td>\n", | ||
" <td>2024-02-20T08:01:50+00:00</td>\n", | ||
" </tr>\n", | ||
" <tr>\n", | ||
" <th>5</th>\n", | ||
" <td>Ballywalter Beach</td>\n", | ||
" <td>None</td>\n", | ||
" <td>54.544500</td>\n", | ||
" <td>-5.482600</td>\n", | ||
" <td>Excellent</td>\n", | ||
" <td>2024-02-20T08:01:57+00:00</td>\n", | ||
" </tr>\n", | ||
" <tr>\n", | ||
" <th>1</th>\n", | ||
" <td>Castlerock Beach</td>\n", | ||
" <td>None</td>\n", | ||
" <td>55.168300</td>\n", | ||
" <td>-6.786300</td>\n", | ||
" <td>Excellent</td>\n", | ||
" <td>2024-02-20T08:02:02+00:00</td>\n", | ||
" </tr>\n", | ||
" <tr>\n", | ||
" <th>6</th>\n", | ||
" <td>Newcastle Beach</td>\n", | ||
" <td>None</td>\n", | ||
" <td>54.213400</td>\n", | ||
" <td>-5.886071</td>\n", | ||
" <td>Excellent</td>\n", | ||
" <td>2024-02-20T08:02:07+00:00</td>\n", | ||
" </tr>\n", | ||
" <tr>\n", | ||
" <th>2</th>\n", | ||
" <td>Portrush East/Curran Strand Beach</td>\n", | ||
" <td>None</td>\n", | ||
" <td>55.205100</td>\n", | ||
" <td>-6.645800</td>\n", | ||
" <td>Excellent</td>\n", | ||
" <td>2024-02-20T08:02:12+00:00</td>\n", | ||
" </tr>\n", | ||
" <tr>\n", | ||
" <th>3</th>\n", | ||
" <td>Waterfoot Beach</td>\n", | ||
" <td>None</td>\n", | ||
" <td>55.060859</td>\n", | ||
" <td>-6.054550</td>\n", | ||
" <td>Excellent</td>\n", | ||
" <td>2024-02-20T08:02:18+00:00</td>\n", | ||
" </tr>\n", | ||
" </tbody>\n", | ||
"</table>\n", | ||
"</div>" | ||
], | ||
"text/plain": [ | ||
" name temperature location.latitude \\\n", | ||
"id \n", | ||
"4 Ballyholme Beach None 54.668352 \n", | ||
"5 Ballywalter Beach None 54.544500 \n", | ||
"1 Castlerock Beach None 55.168300 \n", | ||
"6 Newcastle Beach None 54.213400 \n", | ||
"2 Portrush East/Curran Strand Beach None 55.205100 \n", | ||
"3 Waterfoot Beach None 55.060859 \n", | ||
"\n", | ||
" location.longitude water_quality.classification water_quality.timestamp \n", | ||
"id \n", | ||
"4 -5.637678 Excellent 2024-02-20T08:01:50+00:00 \n", | ||
"5 -5.482600 Excellent 2024-02-20T08:01:57+00:00 \n", | ||
"1 -6.786300 Excellent 2024-02-20T08:02:02+00:00 \n", | ||
"6 -5.886071 Excellent 2024-02-20T08:02:07+00:00 \n", | ||
"2 -6.645800 Excellent 2024-02-20T08:02:12+00:00 \n", | ||
"3 -6.054550 Excellent 2024-02-20T08:02:18+00:00 " | ||
] | ||
}, | ||
"execution_count": 8, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"df = pd.json_normalize(result)\\\n", | ||
" .set_index('id')\\\n", | ||
" .drop(columns=['address', 'image'])\n", | ||
"df" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "env", | ||
"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": "3.12.2" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |