当我们使用'和'：要让np.where()在多个条件下工作，只需执行以下操作：我喜欢使用np.vectorize来完成这...
What's the difference between nonzero(a), where(a) and argwhere(a)? What does selection by [:,None] do in NumPy? numpy.squeeze() Method | Why do we need numpy.squeeze()? How to convert NumPy array type and values from Float64 to Float32? How to save dictionaries through numpy.sav...
np.argwhere(iris[:, 3].astype(float) > 1.0)[0] #> 50 47. how to replace all values greater than a given value to a given cutoff? difficulty level: l2 q. from the array a , replace all values greater than 30 to 30 and less than 10 to 10. input: np.random.seed(100) a = ...