Data Science

NumPy

Question 1
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.
Question 2
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 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following sets the size of the buffer used in ufuncs?
bufsize(size)
setsize(size)
setbufsize(size)
all of the mentioned
Explanation:
Adjusting the size of the buffer may therefore alter the speed at which ufunc calculations of various sorts are completed.
Question 4
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 5
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 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following attribute should be used while checking for type combination input and output?
.types
.type
.class
all of the mentioned
Explanation:
Universal functions in NumPy are flexible enough to have mixed type signatures.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to combine different vectors so as to obtain the result for each n-uplet?
iid_
ix_
ixd_
all of the mentioned
Explanation:
Length of the 1D boolean array must coincide with the length of the dimension (or axis) you want to slice.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
Point out the correct statement.
NumPy main object is the homogeneous multidimensional array
In Numpy, dimensions are called axes
Numpy array class is called ndarray
All of the mentioned
Explanation:
The number of axes is called rank.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
ipython is an enhanced interactive Python shell
matplotlib will enable you to plot graphics
rPy provides a lot of scientific routines that work on top of NumPy
all of the mentioned
Explanation:
SciPy provides a lot of scientific routines that work on top of NumPy.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Which of the following set the floating-point error callback function or log object?
setter
settercall
setterstack
all of the mentioned
Explanation:
seterr sets how floating-point errors are handled.