How much do you know about Pandas library?

Question 1:

What is Pandas?

a) A species of bear

b) A data manipulation and analysis library in Python

c) A programming language

d) A web development framework

Question 2:

Which of the following data structures is used to store one-dimensional labeled data in Pandas?

a) Series

b) DataFrame

c) Array

d) List

Question 3:

How can you import the Pandas library in Python?

a) import panda

b) import pandas as pd

c) from pandas import *

d) import pd

Question 4:

What is the primary purpose of a Pandas DataFrame?

a) Storing only numerical data

b) Storing two-dimensional labeled data

c) Storing images and multimedia files

d) Storing text data

Question 5:

Which Pandas function is used to read a CSV file into a DataFrame?

a) read_csv()

b) load_csv()

c) import_csv()

d) read_file()

Question 6:

How can you access a specific column in a Pandas DataFrame?

a) By using the column's index

b) By using the column's label or name

c) By using the row number

d) By using the DataFrame's index

Question 7:

What does the head() function do in Pandas?

a) Prints the first few rows of a DataFrame

b) Prints the last few rows of a DataFrame

c) Prints a summary statistics of the DataFrame

d) Prints the shape of the DataFrame

Question 8:

Which Pandas method is used to check for missing values in a DataFrame?

a) find_missing()

b) check_missing()

c) missing_values()

d) isnull()

Question 9:

What is the purpose of the iloc method in Pandas?

a) Selects columns based on their labels

b) Selects rows and columns based on their integer positions

c) Performs element-wise operations on a DataFrame

d) Checks for duplicate values in a DataFrame

Question 10:

How can you drop a column named "Column_A" from a Pandas DataFrame called df?

a) df.remove("Column_A")

b) df.drop("Column_A", axis=1)

c) df.delete("Column_A")

d) df.remove_column("Column_A")

Question 11:

Which Pandas function is used to filter rows based on a condition?

a) filter_rows()

b) select_rows()

c) filter()

d) query()

Question 12:

In Pandas, what is the purpose of the groupby() function?

a) Groups data based on unique values in a column

b) Reverses the order of rows in a DataFrame

c) Computes the mean of each column

d) Reshapes a DataFrame into a pivot table

Question 13:

How can you rename a specific column in a Pandas DataFrame?

a) rename_column()

b) change_column_name()

c) df.rename()

d) df.change_name()

Question 14:

What does the merge() function in Pandas do?

a) Merges two DataFrames based on a specified column or index

b) Adds a new column to a DataFrame

c) Sorts the rows of a DataFrame

d) Reshapes a DataFrame into a long format

Question 15:

Which Pandas function is used to pivot a DataFrame?

a) pivot()

b) reshape()

c) pivot_table()

d) transpose()

Question 16:

What is the purpose of the to_csv() function in Pandas?

a) Converts a DataFrame to a CSV file

b) Converts a CSV file to a DataFrame

c) Checks if a CSV file is valid

d) Counts the number of occurrences of each value in a DataFrame

Question 17:

Which method is used to fill missing values in a Pandas DataFrame with a specific value?

a) fillna()

b) fill_missing()

c) replace()

d) impute()

Question 18:

How can you sort a Pandas DataFrame based on a specific column?

a) df.sort_by("column_name")

b) df.sort("column_name")

c) df.sort_values("column_name")

d) df.order_by("column_name")

Question 19:

What is the purpose of the pivot_table() function in Pandas?

a) Pivots a DataFrame from long to wide format

b) Computes the sum of each column in a DataFrame

c) Transposes a DataFrame

d) Aggregates data based on one or more columns

Question 20:

Which Pandas function is used to calculate summary statistics of a DataFrame?

a) describe()

b) summary()

c) stats()

d) analyze()

Answer : 

Question 1: b) A data manipulation and analysis library in Python

Question 2: a) Series

Question 3: b) import pandas as pd

Question 4: b) Storing two-dimensional labeled data

Question 5: a) read_csv()

Question 6: b) By using the column's label or name

Question 7: a) Prints the first few rows of a DataFrame

Question 8: d) isnull()

Question 9: b) Selects rows and columns based on their integer positions

Question 10: b) df.drop("Column_A", axis=1)

Question 11: d) query()

Question 12: a) Groups data based on unique values in a column

Question 13: c) df.rename()

Question 14: a) Merges two DataFrames based on a specified column or index

Question 15: c) pivot_table()

Question 16: a) Converts a DataFrame to a CSV file

Question 17: a) fillna()

Question 18: c) df.sort_values("column_name")

Question 19: d) Aggregates data based on one or more columns

Question 20: a) describe()