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Questions and Answers
What is a DataFrame in Pandas?
What is a DataFrame in Pandas?
- A 1-dimensional labelled data structure
- A 2-dimensional labelled data structure (correct)
- A 3-dimensional labelled data structure
- A 4-dimensional labelled data structure
Which of the following methods can be used to modify a Pandas DataFrame?
Which of the following methods can be used to modify a Pandas DataFrame?
- tail(
- describe(
- append( (correct)
- values(
What is GroupBy in Pandas used for?
What is GroupBy in Pandas used for?
- Plotting data
- Renaming columns and indexes
- Grouping data by one or more columns and performing operations on them (correct)
- Reading CSV, Excel, TSV, and HDF files
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Study Notes
- DataFrame is a 2-dimensional labelled data structure in Pandas.
- DataFrame can be created from files or Python lists, dictionaries, or arrays.
- Matplotlib code can be used to set styling options for plots.
- Pandas has methods for reading CSV, Excel, TSV, and HDF files.
- Pandas DataFrame methods include tail(), describe(), and values().
- DataFrame columns and indexes can be renamed using the columns and index attributes.
- describe() provides summary statistics for numeric columns in a DataFrame.
- Pandas has multiple methods for accessing data by column, row, boolean indexing, integer location, and query.
- DataFrame can be modified using methods like drop(), append(), and sort_values().
- GroupBy is a powerful feature in Pandas for grouping data by one or more columns and performing operations on them.
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