Python Programming - Arrays
Exercise : Arrays - General Questions
- Arrays - General Questions
36.
How do you check if all elements in a NumPy array
arr
are non-zero?
Answer: Option
Explanation:
The code
np.all(arr != 0)
checks if all elements in the array are non-zero.
37.
What does the NumPy function
numpy.concatenate((arr1, arr2), axis=0)
do?
Answer: Option
Explanation:
The
numpy.concatenate()
function joins the arrays along the specified axis.
38.
How can you reshape a NumPy array
arr
into a 2x3 matrix?
Answer: Option
Explanation:
The
arr.reshape(2, 3)
method reshapes the array into a 2x3 matrix.
39.
Given two NumPy arrays
arr1
and arr2
, what does np.column_stack((arr1, arr2))
do?
Answer: Option
Explanation:
The
np.column_stack()
function stacks the arrays horizontally.
40.
What does the NumPy function
numpy.unique(arr)
return?
Answer: Option
Explanation:
The
numpy.unique()
function returns the array with only unique elements.
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