Vuong-Chu

'''
This file is used to loop through sub-directories
and copy multiple files with a specific filename, 
then rename them in a new folder.
'''

import os, shutil, re

def main():
    src = "/media/Folder From"

Vuong-Chu

# Define function to detect outliers for numerical variables
import pandas as pd

def clean_outliers(data, types = "IQR", threshold = 3.0):
    '''
    This function will cleanse outliers only
    and leave missing values alone.
    
    Parameters:
        data (DataFrame): Raw data that need to detect and clean the outliers.

Vuong-Chu

import pandas as pd
from sklearn.preprocessing import LabelEncoder

class MultiColumnLabelEncoder:
    '''
    modified the scripts of Daria Vasyukova
    '''
    
    def __init__(self, X):
        self.X = X

Vuong-Chu

from math import radians, sin, cos, atan2, sqrt, tan, atan

def haversine_distance(long1, lat1, long2, lat2, degrees=False):
  '''
  The haversine formula determines the great-circle distance 
  between two points on a sphere given their longitudes and latitudes.
  '''
  #degrees vs radians
  if degrees == True:
    long1 = radians(long1)

Vuong-Chu

import math

def  Wallis_Pi(n):
  '''
  Compute the decimals of Pi using the Wallis formula:
  '''
    return 2*math.prod([4*i**2 / (4*i**2 - 1) for i in range(1, n + 1)])
  
  
Wallis_Pi(100_000)