You can use the following methods to replace elements in a NumPy array:

**Method 1: Replace Elements Equal to Some Value**

#replace all elements equal to 8 with a new value of 20 my_array[my_array == 8] = 20

**Method 2: Replace Elements Based on One Condition**

#replace all elements greater than 8 with a new value of 20 my_array[my_array > 8] = 20

**Method 3: Replace Elements Based on Multiple Conditions**

#replace all elements greater than 8 or less than 6 with a new value of 20 my_array[(my_array > 8) | (my_array < 6)] = 20

The following examples show how to use each method in practice with the following NumPy array:

**import numpy as np
#create array
my_array = np.array([4, 5, 5, 7, 8, 8, 9, 12])
#view array
print(my_array)
[ 4 5 5 7 8 8 9 12]
**

**Method 1: Replace Elements Equal to Some Value**

The following code shows how to replace all elements in the NumPy array equal to **8** with a new value of **20**:

**#replace all elements equal to 8 with 20
my_array[my_array == 8] = 20
#view updated array
print(my_array)
[ 4 5 5 7 20 20 9 12]
**

**Method 2: Replace Elements Based on One Condition**

The following code shows how to replace all elements in the NumPy array greater than **8** with a new value of **20**:

**#replace all elements greater than 8 with 20
my_array[my_array > 8] = 20
#view updated array
print(my_array)
[ 4 5 5 7 8 8 20 20]
**

**Method 3: Replace Elements Based on Multiple Conditions**

The following code shows how to replace all elements in the NumPy array greater than **8** or less than **6** with a new value of **20**:

**#replace all elements greater than 8 or less than 6 with a new value of 20
my_array[(my_array > 8) | (my_array < 6)] = 20
#view updated array
print(my_array)
[20 20 20 7 8 8 20 20]
**

**Additional Resources**

The following tutorials explain how to perform other common operations in NumPy:

How to Calculate the Mode of NumPy Array

How to Find Index of Value in NumPy Array

How to Map a Function Over a NumPy Array