In NumPy, the difference function is used to compute the difference between consecutive elements in an array along a specified axis. NumPy provides the numpy.diff() function to calculate these differences.
import numpy as np
arr = np.array([1, 3, 6, 10, 15])
# Compute differences between consecutive elements
differences = np.diff(arr)
print("Differences:", differences) # Output: [2 3 4 5]
numpy.diff() is particularly useful for computing discrete differences or performing first-order differencing, which is commonly used in numerical methods and signal processing. It can be used to analyze trends or changes in data over time or along different dimensions of an array.