In [254]: np.mean(a,axis=1) > 0,np.array([1,1]),np.array([0,0]) Out[254]: (array([ True, False]), array([1, 1]), array([0, 0])). ... <看更多>
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In [254]: np.mean(a,axis=1) > 0,np.array([1,1]),np.array([0,0]) Out[254]: (array([ True, False]), array([1, 1]), array([0, 0])). ... <看更多>
... <看更多>
NumPy is the fundamental package needed for scientific computing with Python. ... It provides: a powerful N-dimensional array object; sophisticated (broadcasting) ... ... <看更多>
import numpy as np. By “where” we mean, which element contains a particular value. Here is an array. arr = np.array([2, 99, -1, 4, 99]) arr. ... <看更多>