Data Science

NumPy

Question 1
Marks : +2 | -2
Pass Ratio : 100%
The ________ function returns its argument with a modified shape, whereas the ________ method modifies the array itself.
reshape, resize
resize, reshape
reshape2, resize
all of the mentioned
Explanation:
If a dimension is given as -1 in a reshaping operation, the other dimensions are automatically calculated.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
Each universal function takes array inputs and produces array outputs
Broadcasting is used throughout NumPy to decide how to handle disparately shaped arrays
The output of the ufunc is necessarily an ndarray, if all input arguments are ndarrays
All of the mentioned
Explanation:
The output of the ufunc is not necessarily an ndarray, if all input arguments are not ndarrays.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following method creates a new array object that looks at the same data?
view
copy
paste
all of the mentioned
Explanation:
The copy method makes a complete copy of the array and its data.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
The array object returned by __array_prepare__ is passed to the ufunc for computation.
True
False
Explanation:
If the class has an __array_wrap__ method, the returned ndarray result will be passed to that method just before passing control back to the caller.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Which of the following is contained in NumPy library?
n-dimensional array object
tools for integrating C/C++ and Fortran code
fourier transform
all of the mentioned
Explanation:
NumPy is the fundamental package for scientific computing with Python.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function take only single value as input?
iscomplex
minimum
fmin
all of the mentioned
Explanation:
iscomplex function returns a bool array, where true if input element is complex.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Which of the following returns an array of ones with the same shape and type as a given array?
all_like
ones_like
one_alike
all of the mentioned
Explanation:
The optional output arguments of the function can be used to help you save memory for large calculations.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
Some ufuncs can take output arguments.
True
False
Explanation:
All ufuncs can take output arguments. If necessary, output will be cast to the data-type of the provided output array.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
ndarray.dataitemSize is the buffer containing the actual elements of the array.
True
False
Explanation:
ndarray.data is the buffer containing the actual elements of the array.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
A universal function is a function that operates on ndarrays in an element-by-element fashion
In Numpy, universal functions are instances of the numpy.ufunction class
Many of the built-in functions are implemented in compiled C code
All of the mentioned
Explanation:
ufunc instances can also be produced using the frompyfunc factory function.