AyrtonB

import pandas as pd
from typing import Optional

def clean_onshore_s(
    s_onshore: pd.Series,
    delta_theshold_quantile: float = 0.96
) -> pd.Series:
    
    s_onshore_diff = s_onshore.diff()
    delta_theshold_abs_value = s_onshore_diff.abs().quantile(delta_theshold_quantile)

AyrtonB

# Imports
import os
import dotenv

import pandas as pd

import ElexonDataPortal.API as edp_API

# Helper Functions
def create_BMRS_wrapper(API_key=None, env_fp='.env'):

AyrtonB

import pandas as pd

def dt_rng_to_SPs(start_date:datetime, end_date:datetime, freq='30T', tz='Europe/London'):
    dt_rng = pd.date_range(start_date, end_date, freq=freq, tz=tz)
    dt_strs = dt_rng.strftime('%Y-%m-%d')

    dt_SP_counts = pd.Series(dt_strs).groupby(dt_strs).count()
    SPs = []

    for num_SPs in dt_SP_counts.values:

AyrtonB

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from collections.abc import Iterable
from sklearn import linear_model

class AxTransformer:
    def __init__(self, datetime_vals=False):
        self.datetime_vals = datetime_vals
        self.lr = linear_model.LinearRegression()

AyrtonB

import re
import requests

def isitdown(domain, return_bool=True):
    """ 
    Uses the website 'isitdownrightnow.com' to check
    whether the domain provided is down or not.
    

    Parameters