Outlier detection with iqr

iqr.py

cleaned = df.copy()

columns = [
    'lead_time',
    'stays_in_weekend_nights',
    'stays_in_week_nights',
    'adults',
    'children',
    'babies',
    'adr',
]

for col in columns:
    q1 = df[col].quantile(0.25)
    q3 = df[col].quantile(0.75)

    iqr = q3 - q1
    lower = q1 - 1.5 * iqr
    upper = q3 + 1.5 * iqr

    print(f'Lower point: {round(lower, 2)} \t upper point: {round(upper, 2)} \t {col}')
    
    if lower == upper:
        continue
    
    cond1 = (cleaned[col] >= lower) & (cleaned[col] <= upper)
    cond2 = cleaned[col].isnull()
    cleaned = cleaned[cond1 | cond2]