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Data Handling with Pandas and Data Visualization in Python

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Data Handling with Pandas and Data Visualization in Python

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Questions and Answers

How can a Series be created in Pandas?

From ndarray (correct)
From XML files
From JSON files
From relational databases

What is the purpose of Boolean indexing in Pandas Data Frames?

To display the structure of the data frame
To select specific rows based on a condition (correct)
To export data to CSV files
To perform arithmetic operations on rows and columns

Which Python library is commonly used for data visualization along with Pandas?

TensorFlow
Matplotlib (correct)
NumPy
SciPy

How can a Data Frame be created in Pandas using text/CSV files?

From JSON files (C) Signup and view all the answers

What type of plots can be drawn using Matplotlib in Python?

Line plot, bar graph, histogram (D) Signup and view all the answers

What function can be used to rename both rows and columns in a Pandas Data Frame?

rename() (B) Signup and view all the answers

In Pandas, what method is used for Boolean indexing based on a certain condition?

where() (A) Signup and view all the answers

How can a new column be added to a Pandas Data Frame named 'df'?

df['new_column'] = value (A) Signup and view all the answers

What is the correct method to select rows with labels 'A' and 'B' from a Pandas Data Frame?

df.loc[['A', 'B']] (C) Signup and view all the answers

Which function in Pandas can be used to display the first few rows of a Data Frame?

head() (A) Signup and view all the answers