Omgezet naar python module
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266
demo/DD-API-Oper demo.ipynb
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266
demo/DD-API-Oper demo.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Het gebruik van de rws dd-api-oper\n",
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"\n",
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"## Inleiding\n",
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"\n",
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"Rws gaat gebruik maken van de digitale delta api voor het verspreiden van data. Ze gebruiken daarbij de digitale delta variant voor operationele data voor.\n",
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"\n",
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"De authorisatie gebeurt op basis van PKI (overheids) certificaten.\n",
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"\n",
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"## Een demo van de digitale delta api op basis van python\n",
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"\n",
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"We zullen gebruik maken van de module \"ddapioper.py\" waarmee we het gebruik demonstreren. We starten met de import van de module.\n",
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"\n",
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"Vervolgens maken we een object aan die we het certificaat mee geven. Dit object rws verzorgt de dd-api calls."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from ddapioper import ddApiOper"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"rws = ddApiOper(\"<TODO>.crt\", \"<TODO>.key\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Het opvragen van de lokaties\n",
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"\n",
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"We gaan nu de locaties opvragen. Vervolgens zullen we de details van een lokatie tonen."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"lokaties = rws.locations()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"scrolled": false
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},
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"outputs": [],
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"source": [
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"print(lokaties.locationNames())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(lokaties.data)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(lokaties.locationDetail(\"hoekvanholland\"))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Het opvragen van de quantities\n",
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"\n",
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"We gaan nu de quantities opvragen. Eerst zullen we alle quantities opvragen en daarna van de locatie Hoek van Holland."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"quantities = rws.quantities()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(quantities.quantities())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"quantities_hoek = rws.locationQuantities(\"hoekvanholland\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(quantities_hoek.quantities())"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Het opvragen van de waterhoogte van hoek van holland\n",
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"\n",
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"We gaan nu de waterhoogte opvragen van hoek van holland. Vervolgens printen we de bron, provider, aspectset, locaties en de waarde.\n",
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"\n",
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"Daarna kijken we naar de sip compatable output.\n",
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"\n",
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"We geven geen tijden op bij dit verzoek. De default is altijd de metingen van de laatste dag!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"hoekvanholland = rws.values(\"hoekvanholland\", \"waterlevel\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(hoekvanholland.source())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(hoekvanholland.provider())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(hoekvanholland.aspectSet())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(hoekvanholland.location())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"for v in hoekvanholland.values():\n",
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" print(v)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(hoekvanholland.sip())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import plotly.graph_objects as go"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"x = []\n",
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"y = []\n",
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"for v in hoekvanholland.values():\n",
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" x.append(v[0])\n",
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" y.append(v[1]) "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = go.Figure()\n",
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"fig.add_trace(go.Scatter(x=x, y=y, line=dict(color='firebrick', width=4)))\n",
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"fig.update_layout(title='Waterhoogte Hoek van Holland',\n",
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" xaxis_title='tijd', yaxis_title='Hooghte cm')\n",
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"fig.show()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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