All the aggregate functions learned in this section can be used along either columns, or rows. To do it, you need to specify the `axis` parameter within aggregate function.

For example, we can compute the sum of rows and columns elements separately.

# Import the library
import numpy as np
# Creating array
arr = np.array([[5.2, 3.0, 4.5], [9.1, 0.1, 0.3]])
# Sum of rows and columns elements
print(arr.sum(axis = 0)) # columns
print(arr.sum(axis = 1)) # rows

Aggregating in 2-D Arrays