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What are you searching for?
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DESIGN TEMPLATES
A fast and efficient DataFrame object for data manipulation with integrated indexing
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EASY TO USE
Tools for reading and writing data between in-memory data structures and different formats
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A LOT OF TOOLS
Intelligent data alignment and integrated handling of missing data
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DISCONNECTED COMPONENTS
Flexible reshaping and pivoting of data sets
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SEPARATED LOGIC
Intelligent label-based slicing, fancy indexing, and subsetting of large data sets
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FULL TESTED
High-performance merging and joining of data sets
PANDAS.
Pandas is a high-level Python library for data analysis. In the Python ecosystem, pandas is the most advanced and fast-growing library for processing and analyzing data. The main area of application is to provide work within the Python environment not only for collecting and cleaning data but for analyzing and modeling data, without switching to more statistical-specific languages. The package allows you to build pivot tables, perform groupings, provides convenient access to tabular data, and with the available matplotlib package, you can draw graphs on the resulting data sets.
