27.08.2022, 07:45
Hello
I obtain, through the Esios API, the hourly price of electricity in Spain.
A table like this is contained.
What I want is to save in virtual objects, the following:
The lowest price and the corresponding hour.
The highest price and the time to which it corresponds.
How could I do it?
I already have in virtual objects each price value.
In simpler tables I think I could do it with math.max or by sorting the table and keeping the first and last value. But in such a complex table and with the time, I don't know how to do it.
Greetings
I obtain, through the Esios API, the hourly price of electricity in Spain.
A table like this is contained.
Code:
* table:
["indicator"]
* table:
["composited"]
* bool: false
["magnitud"]
* table:
[1]
* table:
["name"]
* string: Precio
["id"]
* number: 23
["id"]
* number: 1001
["tiempo"]
* table:
[1]
* table:
["name"]
* string: Hora
["id"]
* number: 4
["step_type"]
* string: linear
["short_name"]
* string: PVPC T. 2.0TD
["values"]
* table:
[1]
* table:
["datetime_utc"]
* string: 2022-08-26T22:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 492.82
["tz_time"]
* string: 2022-08-26T22:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T00:00:00.000+02:00
[2]
* table:
["datetime_utc"]
* string: 2022-08-26T23:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 497.35
["tz_time"]
* string: 2022-08-26T23:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T01:00:00.000+02:00
[3]
* table:
["datetime_utc"]
* string: 2022-08-27T00:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 494.44
["tz_time"]
* string: 2022-08-27T00:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T02:00:00.000+02:00
[4]
* table:
["datetime_utc"]
* string: 2022-08-27T01:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 508.86
["tz_time"]
* string: 2022-08-27T01:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T03:00:00.000+02:00
[5]
* table:
["datetime_utc"]
* string: 2022-08-27T02:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 531.02
["tz_time"]
* string: 2022-08-27T02:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T04:00:00.000+02:00
[6]
* table:
["datetime_utc"]
* string: 2022-08-27T03:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 553.12
["tz_time"]
* string: 2022-08-27T03:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T05:00:00.000+02:00
[7]
* table:
["datetime_utc"]
* string: 2022-08-27T04:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 568.16
["tz_time"]
* string: 2022-08-27T04:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T06:00:00.000+02:00
[8]
* table:
["datetime_utc"]
* string: 2022-08-27T05:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 557.06
["tz_time"]
* string: 2022-08-27T05:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T07:00:00.000+02:00
[9]
* table:
["datetime_utc"]
* string: 2022-08-27T06:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 507.94
["tz_time"]
* string: 2022-08-27T06:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T08:00:00.000+02:00
[10]
* table:
["datetime_utc"]
* string: 2022-08-27T07:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 445.72
["tz_time"]
* string: 2022-08-27T07:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T09:00:00.000+02:00
[11]
* table:
["datetime_utc"]
* string: 2022-08-27T08:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 405.18
["tz_time"]
* string: 2022-08-27T08:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T10:00:00.000+02:00
[12]
* table:
["datetime_utc"]
* string: 2022-08-27T09:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 389.13
["tz_time"]
* string: 2022-08-27T09:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T11:00:00.000+02:00
[13]
* table:
["datetime_utc"]
* string: 2022-08-27T10:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 381.83
["tz_time"]
* string: 2022-08-27T10:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T12:00:00.000+02:00
[14]
* table:
["datetime_utc"]
* string: 2022-08-27T11:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 381.23
["tz_time"]
* string: 2022-08-27T11:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T13:00:00.000+02:00
[15]
* table:
["datetime_utc"]
* string: 2022-08-27T12:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 385.12
["tz_time"]
* string: 2022-08-27T12:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T14:00:00.000+02:00
[16]
* table:
["datetime_utc"]
* string: 2022-08-27T13:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 391.42
["tz_time"]
* string: 2022-08-27T13:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T15:00:00.000+02:00
[17]
* table:
["datetime_utc"]
* string: 2022-08-27T14:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 400.21
["tz_time"]
* string: 2022-08-27T14:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T16:00:00.000+02:00
[18]
* table:
["datetime_utc"]
* string: 2022-08-27T15:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 407.64
["tz_time"]
* string: 2022-08-27T15:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T17:00:00.000+02:00
[19]
* table:
["datetime_utc"]
* string: 2022-08-27T16:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 414.83
["tz_time"]
* string: 2022-08-27T16:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T18:00:00.000+02:00
[20]
* table:
["datetime_utc"]
* string: 2022-08-27T17:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 491.04
["tz_time"]
* string: 2022-08-27T17:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T19:00:00.000+02:00
[21]
* table:
["datetime_utc"]
* string: 2022-08-27T18:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 544.13
["tz_time"]
* string: 2022-08-27T18:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T20:00:00.000+02:00
[22]
* table:
["datetime_utc"]
* string: 2022-08-27T19:00:00Z
["geo_id"]
* number: 8741
["value"]
* number: 555.8
["tz_time"]
* string: 2022-08-27T19:00:00.000Z
["geo_name"]
* string: Península
["datetime"]
* string: 2022-08-27T21:00:00.000+02:00
[23]
* table:
["date...
What I want is to save in virtual objects, the following:
The lowest price and the corresponding hour.
The highest price and the time to which it corresponds.
How could I do it?
I already have in virtual objects each price value.
In simpler tables I think I could do it with math.max or by sorting the table and keeping the first and last value. But in such a complex table and with the time, I don't know how to do it.
Greetings