Get Median of NumPy Array in Python – np.median() Function (3 Examples)
In this Python tutorial you’ll learn how to use the np.median function.
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 Median of All Array Values in Python
print(np.median(x)) # Computing the median of all values # 5.0 |
print(np.median(x)) # Computing the median of all values # 5.0
Example 2: Calculate Median by Array Rows in Python
print(np.median(x, axis = 1)) # Computing the median by rows # [6. 4.5] |
print(np.median(x, axis = 1)) # Computing the median by rows # [6. 4.5]
Example 3: Calculate Median by Array Columns in Python
print(np.median(x, axis = 0)) # Computing the median by columns # [6. 6. 3. 8. 4. 4.5] |
print(np.median(x, axis = 0)) # Computing the median by columns # [6. 6. 3. 8. 4. 4.5]