numpy.unwrap() in Python

numpy.unwrap(p, discount=3.141592653589793, axis=-1) function helps user to unwrap a given array by changing deltas to values of 2*pi complement. It unwraps radian phase p by changing absolute jumps greater than discount to their 2*pi complement along the given axis. Result is an unwrapped array.

Parameters:
p : [array like] input array 
discount : [float, optional] Maximum discontinuity between values, default is pi 
axis : [int, optional] Axis along which unwrap will operate, default is last axis
Returns: [ndarray] output array

Note: If the discontinuity in p is smaller than pi, but larger than discount, no unwrapping is done because taking the 2*pi complement would only make the discontinuity larger.
Code #1: Default Values Working

Python3

import numpy as np

l1 =[1, 2, 3, 4, 5]
print("Result 1: ", np.unwrap(l1))

l2 =[0, 0.78, 5.49, 6.28]
print("Result 2: ", np.unwrap(l2))

Output:

Result 1: array([1., 2., 3., 4., 5.])
Result 2: array([ 0.,  0.78, -0.79318531, -0.00318531])

In l2, discount > 2*pi (between 0.78 and 5.49), so array values are changed.
Code #2: Custom Values Working

Python3

import numpy as np

l1 =[5, 7, 10, 14, 19, 25, 32]
print("Result 1: ", np.unwrap(l1, discount = 4))

l2 =[0, 1.34237486723, 4.3453455, 8.134654756, 9.3465456542]
print("Result 2: ", np.unwrap(l2, discount = 3.1))

Output:

Result 1: [ 5., 7., 10., 7.71681469, 6.43362939, 6.15044408, 6.86725877] 
Result 2: [0., 1.34237487, 4.3453455, 1.85146945, 3.06336035]

References: https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.unwrap.html