123 lines
2.6 KiB
Plaintext
123 lines
2.6 KiB
Plaintext
{
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"cells": [
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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 entsoe import EntsoePandasClient\n",
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"import pandas as pd"
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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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"api_key = \"\""
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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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"client = EntsoePandasClient(api_key=api_key)\n",
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"\n",
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"start = pd.Timestamp(\"20190101\", tz=\"Europe/Brussels\")\n",
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"end = pd.Timestamp(\"20190102\", tz=\"Europe/Brussels\")\n",
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"\n",
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"countries = [\n",
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" \"AL\",\n",
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" \"AT\",\n",
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" \"BA\",\n",
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" \"BE\",\n",
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" \"BG\",\n",
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" \"CH\",\n",
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" \"CZ\",\n",
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" \"DE\",\n",
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" \"DK\",\n",
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" \"EE\",\n",
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" \"ES\",\n",
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" \"FI\",\n",
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" \"FR\",\n",
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" \"GB\",\n",
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" \"GR\",\n",
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" \"HR\",\n",
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" \"HU\",\n",
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" \"IE\",\n",
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" \"IT\",\n",
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" \"LT\",\n",
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" \"LU\",\n",
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" \"LV\",\n",
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" \"ME\",\n",
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" \"MK\",\n",
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" \"NL\",\n",
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" \"NO\",\n",
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" \"PL\",\n",
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" \"PT\",\n",
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" \"RO\",\n",
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" \"RS\",\n",
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" \"SE\",\n",
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" \"SI\",\n",
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" \"SK\",\n",
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"]"
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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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"generation = []\n",
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"for country in countries:\n",
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" country_code = country\n",
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" generation_country = client.query_generation(\n",
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" country_code, start=start, end=end, psr_type=None\n",
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" )\n",
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" # generation.append(generation_country)\n",
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" # day_ahead_prices_country = client.query_day_ahead_prices(country_code, start, end)\n",
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"\n",
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"# generation = pd.concat(generation, keys=countries, axis=1)\n",
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"\n",
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"# client.query_crossborder_flows(country_code_from, country_code_to, start, end)"
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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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"generation.resample(\"h\").mean()"
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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": "",
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"language": "python",
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"name": ""
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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": "3.11.0"
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},
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"orig_nbformat": 4
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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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