Displaying 1 to 5 from 5 results

xarray - N-D labeled arrays and datasets in Python

  •    Python

xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. Our goal is to provide a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. Our approach adopts the Common Data Model for self- describing scientific data in widespread use in the Earth sciences: xarray.Dataset is an in-memory representation of a netCDF file.

polars - Fast multi-threaded DataFrame library in Rust and Python

  •    Rust

Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow(2) as memory model. To learn more, read the User Guide.

pdpipe - Easy pipelines for pandas DataFrames.

  •    Python

Easy pipelines for pandas DataFrames. Some pipeline stages require scikit-learn; they will simply not be loaded if scikit-learn is not found on the system, and pdpipe will issue a warning. To use them you must also install scikit-learn.

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

  •    Python

Eland is a Python Elasticsearch client for exploring and analyzing data in Elasticsearch with a familiar Pandas-compatible API. Where possible the package uses existing Python APIs and data structures to make it easy to switch between numpy, pandas, scikit-learn to their Elasticsearch powered equivalents. In general, the data resides in Elasticsearch and not in memory, which allows Eland to access large datasets stored in Elasticsearch.




pandas-summary - An extension to pandas dataframes describe function.

  •    Python

An extension to pandas dataframes describe function. This module depends on numpy and pandas. Optionally you can get also some nice visualisations if you have matplotlib installed.






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