2 repositorios
Awesome GitHub RepositoriesGrouped Transformations
Operations that transform grouped data while maintaining original indexing.
Distinguishing note: Focuses on index-preserving transformations rather than aggregation.
Explore 2 awesome GitHub repositories matching data & databases · Grouped Transformations. Refine with filters or upvote what's useful.
Awesome Grouped Transformations GitHub Repositories
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- pandas-dev/pandas
pandas-dev/pandas
49,039Ver en GitHubPandas is a high-performance data analysis library that provides a comprehensive framework for manipulating, cleaning, and transforming structured datasets. It centers on labeled one-dimensional and two-dimensional data structures, allowing users to construct, filter, and reshape tabular information while performing complex arithmetic and logical operations. The library distinguishes itself through a sophisticated indexing engine that enables automatic data alignment during calculations and relational merges. By utilizing a block-based memory layout, it optimizes cache locality for vectorized
Performs operations on grouped data that return objects indexed identically to the original.
Pythonalignmentdata-analysisdata-science - iamseancheney/python_for_data_analysis_2nd_chinese_version
iamseancheney/python_for_data_analysis_2nd_chinese_version
8,937Ver en GitHubThis project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p
Demonstrates transformations on grouped data that preserve the original indexing and shape of the dataset.
matplotlibnumpypandas
