Items related to DATAFRAME MANIPULATION: THEORY AND APPLICATIONS WITH...
- PublisherIndependently published
- Publication date2024
- ISBN 13 9798335763868
- BindingPaperback
- LanguageEnglish
- Number of pages430
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DATAFRAME MANIPULATION: THEORY AND APPLICATIONS WITH PYTHON AND TKINTER
Print on DemandSeller: California Books, Miami, FL, U.S.A.
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Dataframe Manipulation (Paperback)
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
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Paperback. Condition: new. Paperback. A DataFrame is a crucial data structure in pandas, a versatile Python library for data manipulation and analysis. It is designed to handle two-dimensional, labeled data similar to a spreadsheet or SQL table, facilitating operations such as filtering, sorting, grouping, and aggregating. DataFrames can be created from various data sources, including lists, dictionaries, or NumPy arrays. They offer robust data handling features, including managing missing values and performing input/output operations with diverse file formats. Key capabilities of DataFrames include hierarchical indexing, time series functionality, and integration with libraries like NumPy and Matplotlib, which are essential for efficient data analysis and transforming raw data into actionable insights. Several projects in this book demonstrate practical applications of DataFrames and Tkinter for data analysis. For example, one project involves filtering an employee DataFrame to find those in the 'Engineering' department with salaries over $70,000. Another project filters a sales DataFrame to identify electronics products with quantities sold above 100. Similarly, a movie DataFrame is filtered to find films released after 2010 with ratings above 8. These filtering techniques use boolean indexing and logical operators to isolate data subsets based on specific conditions, illustrating the utility of DataFrames for extracting relevant information from larger datasets. Tkinter-based GUI applications are used in various projects to interact with and visualize data. For instance, one project features a Tkinter GUI that allows users to filter and view sales data interactively, while another enables filtering and viewing of movie data based on release year and rating. Additional projects involve building GUIs to manage and visualize synthetic data for different applications, such as sales, temperature, and medical data. These applications integrate pandas for data manipulation, Tkinter for user interfaces, and Matplotlib for graphical representations, providing comprehensive tools for exploring, analyzing, and visualizing data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798335763868
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Dataframe Manipulation
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798335763868
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Dataframe Manipulation
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798335763868
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DATAFRAME MANIPULATION: THEORY AND APPLICATIONS WITH PYTHON AND TKINTER
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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