How to obtain minimum between a numpy array and a float number? [duplicate]

Question

I have a numpy array size of MxN and a threshold value T. A formula is defined as a_ij = min(a_ij, T), for all a_ij in array A_(MxN)

It means that the threshold T will cut the value of the array A in low bound. Do we have any function in python to do it? I used np.min but it returned a number instead of an array

For example

A =[[1,2],[3,4]]
T=2
A_cut = min(A,T) = [[1,2],[2,2]]

Possible duplicate of numpy replace negative values in array or Replace all elements of Python NumPy Array that are greater than some value or Forcing Elements in a Numpy Array to be Within a Specified Range — pault
– pault, Commented Jan 15, 2019 at 16:49

DYZ · Accepted Answer · 2019-01-15 16:49:59Z

3

np.minimum(A, T)
#array([[1,2], [2,2]])

answered Jan 15, 2019 at 16:49

DYZ

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