eliorc

from itertools import count

import pandas as pd
import numpy as np

def cyclical_encoder(data: pd.DataFrame, 
                     time_column: str, 
                     time_unit: str, 
                     normalize_val: float, 
                     label_suffix: str) -> pd.DataFrame:

eliorc

import numpy as np
from scipy import stats


def permutation_t_test(sample1: list, sample2: list, n: int =10000) -> float:
    """
    Conduct a permutation T-test using n iterations and p-value. The higher the p-value, the more likely that sample1 
    and sample2 are sampled from the same distribution 

    :param sample1: Sample of continuous observations