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[lab-working-with-api] Karolin Diede #2

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276 changes: 276 additions & 0 deletions .ipynb_checkpoints/Solution-checkpoint.ipynb
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Original file line number Diff line number Diff line change
@@ -0,0 +1,276 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"Places\" : [ {\n",
" \"PlaceId\" : \"STOC-sky\",\n",
" \"PlaceName\" : \"Stockholm\",\n",
" \"CountryId\" : \"SE-sky\",\n",
" \"RegionId\" : \"\",\n",
" \"CityId\" : \"STOC-sky\",\n",
" \"CountryName\" : \"Sweden\"\n",
" }, {\n",
" \"PlaceId\" : \"ARN-sky\",\n",
" \"PlaceName\" : \"Stockholm Arlanda\",\n",
" \"CountryId\" : \"SE-sky\",\n",
" \"RegionId\" : \"\",\n",
" \"CityId\" : \"STOC-sky\",\n",
" \"CountryName\" : \"Sweden\"\n",
" }, {\n",
" \"PlaceId\" : \"NYO-sky\",\n",
" \"PlaceName\" : \"Stockholm Skavsta\",\n",
" \"CountryId\" : \"SE-sky\",\n",
" \"RegionId\" : \"\",\n",
" \"CityId\" : \"STOC-sky\",\n",
" \"CountryName\" : \"Sweden\"\n",
" }, {\n",
" \"PlaceId\" : \"BMA-sky\",\n",
" \"PlaceName\" : \"Stockholm Bromma\",\n",
" \"CountryId\" : \"SE-sky\",\n",
" \"RegionId\" : \"\",\n",
" \"CityId\" : \"STOC-sky\",\n",
" \"CountryName\" : \"Sweden\"\n",
" }, {\n",
" \"PlaceId\" : \"VST-sky\",\n",
" \"PlaceName\" : \"Stockholm Vasteras\",\n",
" \"CountryId\" : \"SE-sky\",\n",
" \"RegionId\" : \"\",\n",
" \"CityId\" : \"STOC-sky\",\n",
" \"CountryName\" : \"Sweden\"\n",
" } ]\n",
"}\n"
]
}
],
"source": [
"import requests\n",
"\n",
"url = \"https://skyscanner-skyscanner-flight-search-v1.p.rapidapi.com/apiservices/autosuggest/v1.0/UK/GBP/en-GB/\"\n",
"\n",
"querystring = {\"query\":\"Stockholm\"}\n",
"\n",
"headers = {\n",
" 'x-rapidapi-host': \"skyscanner-skyscanner-flight-search-v1.p.rapidapi.com\",\n",
" 'x-rapidapi-key': \"9c8d07c07emsh4f918e8fccf6096p166317jsna5619b1b6eec\"\n",
" }\n",
"\n",
"response = requests.request(\"GET\", url, headers=headers, params=querystring)\n",
"\n",
"print(response.text)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"Quotes\" : [ {\n",
" \"QuoteId\" : 1,\n",
" \"MinPrice\" : 68,\n",
" \"Direct\" : true,\n",
" \"OutboundLeg\" : {\n",
" \"CarrierIds\" : [ 851 ],\n",
" \"OriginId\" : 81727,\n",
" \"DestinationId\" : 60987,\n",
" \"DepartureDate\" : \"2021-11-11T00:00:00\"\n",
" },\n",
" \"QuoteDateTime\" : \"2021-10-11T10:15:00\"\n",
" } ],\n",
" \"Carriers\" : [ {\n",
" \"CarrierId\" : 851,\n",
" \"Name\" : \"Alaska Airlines\"\n",
" } ],\n",
" \"Places\" : [ {\n",
" \"Name\" : \"New York John F. Kennedy\",\n",
" \"Type\" : \"Station\",\n",
" \"PlaceId\" : 60987,\n",
" \"IataCode\" : \"JFK\",\n",
" \"SkyscannerCode\" : \"JFK\",\n",
" \"CityName\" : \"New York\",\n",
" \"CityId\" : \"NYCA\",\n",
" \"CountryName\" : \"United States\"\n",
" }, {\n",
" \"Name\" : \"San Francisco International\",\n",
" \"Type\" : \"Station\",\n",
" \"PlaceId\" : 81727,\n",
" \"IataCode\" : \"SFO\",\n",
" \"SkyscannerCode\" : \"SFO\",\n",
" \"CityName\" : \"San Francisco\",\n",
" \"CityId\" : \"SFOA\",\n",
" \"CountryName\" : \"United States\"\n",
" } ],\n",
" \"Currencies\" : [ {\n",
" \"Code\" : \"USD\",\n",
" \"Symbol\" : \"$\",\n",
" \"ThousandsSeparator\" : \",\",\n",
" \"DecimalSeparator\" : \".\",\n",
" \"SymbolOnLeft\" : true,\n",
" \"SpaceBetweenAmountAndSymbol\" : false,\n",
" \"RoundingCoefficient\" : 0,\n",
" \"DecimalDigits\" : 2\n",
" } ]\n",
"}\n"
]
}
],
"source": [
"\n",
"url = \"https://skyscanner-skyscanner-flight-search-v1.p.rapidapi.com/apiservices/browsequotes/v1.0/US/USD/en-US/SFO-sky/JFK-sky/2021-11-11\"\n",
"\n",
"querystring = {\"inboundpartialdate\":\"2021-11-11\"}\n",
"\n",
"headers = {\n",
" 'x-rapidapi-host': \"skyscanner-skyscanner-flight-search-v1.p.rapidapi.com\",\n",
" 'x-rapidapi-key': \"9c8d07c07emsh4f918e8fccf6096p166317jsna5619b1b6eec\"\n",
" }\n",
"\n",
"response = requests.request(\"GET\", url, headers=headers, params=querystring)\n",
"\n",
"print(response.text)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"df = pd.DataFrame(response.json().items())"
]
},
{
"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>0</th>\n",
" <th>1</th>\n",
" <th>new_col</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Quotes</td>\n",
" <td>[{'QuoteId': 1, 'MinPrice': 68, 'Direct': True...</td>\n",
" <td>{'QuoteId': 1, 'MinPrice': 68, 'Direct': True,...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Carriers</td>\n",
" <td>[{'CarrierId': 851, 'Name': 'Alaska Airlines'}]</td>\n",
" <td>{'CarrierId': 851, 'Name': 'Alaska Airlines'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Places</td>\n",
" <td>[{'Name': 'New York John F. Kennedy', 'Type': ...</td>\n",
" <td>{'Name': 'New York John F. Kennedy', 'Type': '...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Currencies</td>\n",
" <td>[{'Code': 'USD', 'Symbol': '$', 'ThousandsSepa...</td>\n",
" <td>{'Code': 'USD', 'Symbol': '$', 'ThousandsSepar...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0 1 \\\n",
"0 Quotes [{'QuoteId': 1, 'MinPrice': 68, 'Direct': True... \n",
"1 Carriers [{'CarrierId': 851, 'Name': 'Alaska Airlines'}] \n",
"2 Places [{'Name': 'New York John F. Kennedy', 'Type': ... \n",
"3 Currencies [{'Code': 'USD', 'Symbol': '$', 'ThousandsSepa... \n",
"\n",
" new_col \n",
"0 {'QuoteId': 1, 'MinPrice': 68, 'Direct': True,... \n",
"1 {'CarrierId': 851, 'Name': 'Alaska Airlines'} \n",
"2 {'Name': 'New York John F. Kennedy', 'Type': '... \n",
"3 {'Code': 'USD', 'Symbol': '$', 'ThousandsSepar... "
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['new_col'] = df[1].apply(lambda x: x[0])\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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