pandas begginers

Question 1

4. How do you create a Pandas DataFrame from a dictionary?

Accepted Answer

A) df = pd.DataFrame(dictionary)

Question 2

9. What is the default index when creating a Pandas DataFrame?

Accepted Answer

A) Starts from 0 and increases by 1

Question 3

6. What will df.shape return?

Accepted Answer

B) The number of rows and columns as a tuple

Question 4

5. What method is used to display the first 5 rows of a DataFrame?

Accepted Answer

A) df.head()

Question 5

1. What is Pandas primarily used for?

Accepted Answer

B) Data analysis and manipulation

Question 6

2. Which command is used to import Pandas in Python?

Accepted Answer

import pandas as pd

Question 7

Pandas automatically detects and assigns data types to columns when reading a CSV file.

Accepted Answer

True

Question 8

The dropna() function is used to fill missing values in a DataFrame.

Accepted Answer

False

Question 9

3. What is a DataFrame in Pandas?

Accepted Answer

B) A two-dimensional table-like data structure

Question 10

You can use df.iloc[0] to access the first row of a DataFrame.

Accepted Answer

True

Question 11

The Series object in Pandas is used to store tabular data with multiple columns.

Accepted Answer

False

Question 12

Which function is used to read a CSV file in Pandas?

Accepted Answer

A) pd.read_csv()

Question 13

How do you select a specific column from a DataFrame?

Accepted Answer

B) df['column_name']

Question 14

Pandas is built on top of NumPy and provides data structures for efficient data manipulation.

Accepted Answer

True

Question 15

How can you check for missing values in a DataFrame?

Accepted Answer

B) df.isnull().sum()

Questions 15