[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

{10 : 6, 6 : 7}

[1 2 3 4 5 7 7 8 9 6]

import numpy as np

array = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

dict = {10 : 6, 6 : 7}

for element in dict.keys():    
    np.place(array, array == element, dict.get(element))

print(array)

[1 2 3 4 5 7 7 8 9 7]

import numpy as np
import pandas as pd

array = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

dict = {10 : 6, 6 : 7}

array = np.expand_dims(array, axis = 1) 

df = pd.DataFrame(data=array)
df[0].replace(dict, inplace=True)
array = df.values
array = np.squeeze(array, axis = 1)

print(array)

[1 2 3 4 5 7 7 8 9 6]