Best way to use maxifs combined with replacing values in "lookup array"

Take this when preference on Python:

import pandas as pd
import numpy as np

def max_filtered(lookup, replace, crit1, crit2, crit1_val, crit2_val):
    lookup = np.array(lookup)
    replace = np.array(replace)
    crit1 = np.array(crit1)
    crit2 = np.array(crit2)

    # Replace values conditionally
    modified = np.where(lookup < 0.1, replace, lookup)

    # Apply criteria
    mask = (crit1 == crit1_val) & (crit2 == crit2_val)
    return np.max(modified[mask])