Python numpy.unwrap()用法及代码示例

numpy.unwrap(p, discont=3.141592653589793, axis=-1)函数通过将增量更改为2 * pi补码值来帮助用户解开给定的数组。它通过将绝对跳变更改为沿给定轴的2 * pi补码来改变绝对跳变，从而解开弧度相位p。结果是未包装的数组。

参数:

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

返回: [ndarray] output array

注意：如果p中的不连续性小于pi，但大于不连续，则不进行解包，因为采用2 * pi补码只会使不连续性变大。

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))

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

import numpy as np 
  
l1 =[5, 7, 10, 14, 19, 25, 32] 
print("Result 1: ", np.unwrap(l1, discont = 4)) 
  
l2 =[0, 1.34237486723, 4.3453455, 8.134654756, 9.3465456542] 
print("Result 2: ", np.unwrap(l2, discont = 3.1))