np.mean() Function of NumPy Library in Python (3 Examples)
In this Python programming tutorial you’ll learn how to use the mean function of the NumPy library.
Setting up the Examples
import numpy # Load numpy |
import numpy # Load numpy
x = np.array([[8, 2, 1, 7, 7, 5], # Constructing a NumPy array in Python [4, 10, 5, 9, 1, 4]]) print(x) # [[ 8 2 1 7 7 5] # [ 4 10 5 9 1 4]] |
x = np.array([[8, 2, 1, 7, 7, 5], # Constructing a NumPy array in Python [4, 10, 5, 9, 1, 4]]) print(x) # [[ 8 2 1 7 7 5] # [ 4 10 5 9 1 4]]
Example 1: Calculate Mean of All Array Values in Python
print(np.mean(x)) # Computing the mean of all values # 5.25 |
print(np.mean(x)) # Computing the mean of all values # 5.25
Example 2: Calculate Mean by Array Rows in Python
print(np.mean(x, axis = 1)) # Computing the mean by rows # [5. 5.5] |
print(np.mean(x, axis = 1)) # Computing the mean by rows # [5. 5.5]
Example 3: Calculate Mean by Array Columns in Python
print(np.mean(x, axis = 0)) # Computing the mean by columns # [6. 6. 3. 8. 4. 4.5] |
print(np.mean(x, axis = 0)) # Computing the mean by columns # [6. 6. 3. 8. 4. 4.5]