[FIXED] Values less than threshold in Python

Issue

I have an array sigma. If any element of sigma is less than threshold, then the value of the specific element is equal to the threshold. The current and expected outputs are presented.

import numpy as np
sigma=np.array([[ 0.02109   ],
       [ 0.01651925],
       [ 0.02109   ],
       [ 0.02109   ],
       [ -0.009   ]])

threshold=0.010545

for i in range(0,len(sigma)):
               if(sigma[i]<=threshold):
                   sigma[i]==threshold
print([sigma])

The current output is

[array([[ 0.02109   ],
       [ 0.01651925],
       [ 0.02109   ],
       [ 0.02109   ],
       [-0.009     ]])]

The expected output is

[array([[ 0.02109   ],
       [ 0.01651925],
       [ 0.02109   ],
       [ 0.02109   ],
       [0.010545     ]])]

Solution

It is a good start you are doing threshold. In fact, numpy has a good function to help you perform faster, that is np.clip.

sigma=np.array([[ 0.02109   ],
       [ 0.01651925],
       [ 0.02109   ],
       [ 0.02109   ],
       [ -0.009   ]])

threshold=0.010545

np.clip(sigma,threshold,np.inf)
Out[4]: 
array([[0.02109   ],
       [0.01651925],
       [0.02109   ],
       [0.02109   ],
       [0.010545  ]])

np.clip is actually a function that limits your array within a boundary(with min and max value). So, if you are performing array elementwise operation, you can use np.clip to make sure all the elements stay in the boundary.

Answered By - Kevin Choon Liang Yew