Correct Answer : Option (B) : ones_like
Explanation : The optional output arguments of the function can be used to help you save memory for large calculations.
Correct Answer : Option (D) : All of the mentioned
Correct Answer : Option (C) : view
Correct Answer : Option (C) : iscomplex
Explanation : iscomplex function returns a bool array, where true if input element is complex.
Correct Answer : Option (A) : settercall
Correct Answer : Option (B) : frexp
import numpy as np a = np.array([1, 2, 3], dtype = complex) print a
Correct Answer : Option (D) : [ 1.+0.j, 2.+0.j, 3.+0.j]
Correct Answer : Option (D) : Negative one
Explanation : If a dimension is given as -1 in a reshaping operation, the other dimensions are automatically calculated.
Correct Answer : Option (C) : numpy.dtype(object, align, copy)
Explanation : A dtype object is constructed using the following syntax : numpy.dtype(object, align, copy)
Correct Answer : Option (A) : The array object returned by __array_prepare__ is passed to the ufunc for computation.
Explanation : The array object returned by __array_prepare__ is passed to the ufunc for computation is true