- Courses
- Tutorials
- Practice
- Jobs
- Numpy - Array Creation
- numpy.arange() in Python
- numpy.zeros() in Python
- NumPy - Create array filled with all ones
- NumPy - linspace() Function
- numpy.eye() in Python
- Creating a one-dimensional NumPy array
- How to create an empty and a full NumPy array
- Create a Numpy array filled with all zeros - Python
- How to generate 2-D Gaussian array using NumPy?
- How to create a vector in Python using NumPy
- Python - Numpy fromrecords() method
- NumPy Copy and View of Array
- How to Copy NumPy array into another array?
- Appending values at the end of an NumPy array
- How to swap columns of a given NumPy array?
- Insert a new axis within a NumPy array
- numpy.hstack() in Python
- numpy.vstack() in python
- Joining NumPy Array
- Combining a One and a Two-Dimensional NumPy Array
- Numpy np.ma.concatenate() method-Python
- Numpy dstack() method-Python
- Splitting Arrays in NumPy
- How to compare two NumPy arrays?
- Find the union of two NumPy arrays
- Find unique rows in a NumPy array
- Numpy np.unique() method-Python
- numpy.trim_zeros() in Python
Creating a NumPy Array
Question 1
Which function is used to create a NumPy array from a list?
- A
np.create()
- B
np.array()
- C
np.list()
- D
np.arraylist()
Question 2
Which of the following code snippets will create a NumPy array with the values [1,2,3,4]?
- A
np.array([1, 2, 3, 4])
- B
np.create([1, 2, 3, 4])
- C
np.array([1, 2, 3, 4], type=int)
- D
np.list([1, 2, 3, 4])
Question 3
Given the following code, what will be the output?
import numpy as np
arr = np.array([1, 2, 3, 4], dtype=float)
print(arr)
- A
[1 2 3 4]
- B
[1. 2. 3. 4]
- C
[1.0 2.0 3.0 4.0]
- D
Error
Question 4
What will be the output of the following code?
import numpy as np
arr = np.array([1, 2, 3, 4])
arr = arr.astype(float)
print(arr)
- A
[1 2 3 4]
- B
[1.0 2.0 3.0 4.0]
- C
[1. 2. 3. 4. ]
- D
Error
Question 5
What will be the output of this code?
import numpy as np
arr = np.array([[1, 2], [3, 4]])
print(arr.shape)
- A
(2, 2)
- B
(1, 4)
- C
(4, )
- D
(2, 1)
Question 6
Which of the following will create a 3x3 matrix filled with zeros?
- A
np.zeros(3, 3)
- B
np.array([[0, 0, 0], [0, 0, 0], [0, 0, 0]])
- C
np.zeros((3, 3))
- D
np.zeros([3, 3])
Question 7
What will be the output of the following code?
import numpy as np
arr = np.array([1, 2, 3, 4])
print(np.ndim(arr))
- A
1
- B
4
- C
None
- D
2
Question 8
Which method is used to create an array of equally spaced values?
- A
np.linspace()
- B
np.arrange()
- C
np.array()
- D
np.arrange()
Question 9
What will be the output of the following code?
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
print(np.sum(arr))
- A
15
- B
10
- C
5
- D
1
Question 10
What is the correct way to create a 4x4 identity matrix in NumPy?
- A
np.eye(4)
- B
np.array([1, 0, 0, 0], [0, 1, 0, 0],[0, 0, 1, 0], [1, 0, 0, 1]]
- C
np.identity(4)
- D
Both a and b
There are 10 questions to complete.