pandas is a Python data analysis library that provides high-performance, user friendly data structures and data analysis tools for the Python programming language. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. With pandas, performance, productivity and collaboration in doing data analysis in Python can significantly increase.
pandas is continuously being developed to be a fundamental high-level building block for doing practical, real world data analysis in Python, as well as powerful and flexible open source data analysis/ manipulation tool for any language.
Features
- Intelligent data alignment and integrated handling of missing data
- Size mutability: columns can be inserted and deleted from data structures
- Powerful and flexible group-by functionality
- Fast and efficient DataFrame object for data manipulation with integrated indexing
- Intelligent label-based slicing, fancy indexing, and subsetting of large data sets
- Intuitive merging and joining data sets
- Flexible reshaping and pivoting of data sets
- Hierarchical axis indexing
- Robust IO tools for loading data
- Time series-specific functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging
Project Samples
License
BSD License
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