Login using Social Account
Login using your credentials
What does the following code creates?
An array of the total number of dimensions as 3.
An array full of zeroes.
An array of the total number of dimensions as 2.
An array of shape (0,0).
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
Note - Having trouble with the assessment engine? Follow the steps listed here
No hints are availble for this assesment
1 What is Numpy?
2 This is how we import Numpy in Python?
3 How many number of dimensions does the following ndarray have?
4 What is the shape of the following ndarray?
5 What does the following code creates?
6 How do you access element 8 from the above array?
7 What will be the output of the following code?
8 What will be the output of the below code?
9 What will be the output of the following code?
10 The following code throws an error.
11 What will be the shape of x?
12 If np_arr is a Numpy array, what does the following line do?
13 What is the output of the following code?
14 Does the below code have the output [1]?
15 What does the output of the following code signify?
16 What does w, and v represent in the below code?
17 What does the output of this code signifies?
18 How to find the first k smallest elements of a Numpy array?
19 What is the output of the following code?
20 What would be the output of the below code?
21 What will be the output of the below code?
22 How to element-wise compare 2 Numpy arrays?
23 What does the following code do?
24 What does Numpy stands for?
25 How to install Pandas using pip?
26 How to display 5 rows from the top of a Pandas dataframe?
27 How many dimension(s) does a Pandas Series has?
28 Can we convert a Dictionary into a DataFrame?
29 Pandas is not an Open Source Python library.
30 Is this a valid command in Pandas?
31 The following code displays how many rows of data?
32 What is the name of the primary data structure in Pandas?
33 How does the following code changes the DataFrame?
34 We have a code as shown below
35 What does the following command returns?
36 Why do we use the astype() method?
37 This is the correct way to check the installed Matplotlib version?
38 What is the significance of r in this code?
39 How many charts will be plotted here?
40 What does the following line of code signifies?
41 The following code displays how many rows of data?
Loading comments...