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

It creates a new DataFrame with aggregated values

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It reshapes a DataFrame based on a specified column

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It calculates the correlation between columns

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It creates a summary table from a DataFrame

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What is the purpose of the "duplicated()" function in Pandas?

It checks if a column contains duplicate values

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It finds the duplicate rows in a DataFrame

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It removes duplicate values from a column

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It drops duplicate rows from a DataFrame

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How do you handle missing values in a Pandas DataFrame?

Interpolate missing values

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All of the above

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Replace missing values with a specific value

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Remove rows with missing values

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What is the purpose of the "shape" attribute in a Pandas DataFrame?

It returns the number of rows and columns in a DataFrame

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It returns the data types of columns in a DataFrame

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It returns the total number of elements in a DataFrame

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It returns the number of columns in a DataFrame

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How do you read a CSV file into a Pandas DataFrame?

load_dataframe('file.csv')

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pd.read_csv('file.csv')

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readcsv('file.csv')

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pd.load_csv('file.csv')

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How do you select multiple columns in a Pandas DataFrame?

df['col1', 'col2']

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df[['col1', 'col2']]

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df.select_columns(['col1', 'col2'])

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df.get_columns(['col1', 'col2'])

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How do you drop a column from a Pandas DataFrame?

df.remove_column('column_name')

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df.remove(['column_name'], axis=1)

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df.drop(['column_name'], axis=1)

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df.drop_column('column_name')

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What is the purpose of the "describe()" function in Pandas?

It describes the structure of a DataFrame

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It provides basic statistics of a DataFrame

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It returns the total number of elements in a DataFrame

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It shows the first few rows of a DataFrame

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What is Pandas in Python?

A data manipulation library

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A numerical computing library

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A web development framework

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A machine learning library

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What is the purpose of the "to_excel()" function in Pandas?

It exports a DataFrame to a CSV file

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It writes a DataFrame to a text file

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It converts a DataFrame to an Excel file

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It saves a DataFrame in a JSON file

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