Plant Series by Zone

This endpoint returns a series of data, matching the requested plant series, zone, and date range. You can visualise various Enact series on Enact's dashboard page.

Using the LCPDelta Python Package

Note that this helper function is only available in LCPDelta 1.1.8 and above.

Synchronous

from lcp_delta import enact
from datetime import date

enact_api_helper = enact.APIHelper(username, public_api_key)

# see 'BODY PARAMS' section below for details on corresponding parameter values
response_dataframe = enact_api_helper.get_series_by_zone(
	"Mel",
	date(2023,6,21),
	date(2023,6,23),
	"Gb",
	option_ids=["Z2"], # the desired zone string
	time_zone_id="UTC",
	parse_datetimes=True # optionally parse dates as datetimes and index by them (ascending)
)

print(response_dataframe)

Asynchronous (package version 1.3.0 and later)

from lcp_delta import enact
from datetime import date
import asyncio

async def main():
    enact_api_helper = enact.APIHelper(username, public_api_key)

    # see 'BODY PARAMS' section below for details on corresponding parameter values
    response_dataframe = await enact_api_helper.get_series_by_zone_async(
        "Mel",
        date(2023,6,21),
        date(2023,6,23),
        "Gb",
        option_ids=["Z2"],
        time_zone_id="UTC",
        parse_datetimes=True
    )

    print(response_dataframe)

asyncio.run(main())

Using the API Directly

The response object is a dictionary of data keyed by column header with lists of data values. The first key-value pair will always be the datetime values for the requested date range.

To request data for a single day, set the from and to fields in the request body equal to each other.

The response object holds all data for the requested series. The header will be of the form 'CountryId&SeriesId&OptionId'.

Using the LCPDelta Python Package

Using the API Directly

200200

400400