Tutorial on np.where

DataCamp Light | Standalone example

Example: np.where

import numpy as np X = np.array( [[ 0.4, 1.2, -0.6], [ 1.6, -0.9, 0.5], [-0.4, -1.4, 1.7]] ) Z = np.where(X < 0, 0, X) print(Z)
  • Example 2: Determining Predicted Classes

We can us np.where to blah blah blah.

Example: np.where

import numpy as np np.set_printoptions(suppress=True, precision=2) np.random.seed(1) prob = np.random.uniform(low=0, high=1, size=8) pred = np.where(prob < 0.5, 'A', 'B') print('prob =', prob, '\n') print('pred =', pred)