{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/17"}],"enrichment":{"capability":"Pandas-TD connects pandas DataFrames to Treasure Data's cloud analytics platform, enabling you to query and load data from Treasure Data into pandas for analysis and write results back to tables.","skillfed_tags":["deprecated","treasure-data","archived"],"use_cases":["Pull Treasure Data query results into pandas for exploratory data analysis and visualization.","Load a Treasure Data table into a DataFrame with optional row limits for sampling large datasets.","Write analysis results from a pandas DataFrame back to a Treasure Data table for persistence and sharing.","Use Jupyter magic functions to interactively query Treasure Data without writing explicit Python code."],"what_it_does":"Pandas-TD is a deprecated bridge between pandas and Treasure Data, a cloud data warehouse. It lets you run SQL queries against Treasure Data tables and pull results directly into pandas DataFrames for local analysis, or write DataFrames back to Treasure Data tables. The package integrates with Jupyter notebooks via magic functions for interactive querying.\n\nThe package is no longer maintained and was archived in 2020. The maintainers explicitly recommend using pytd instead for any new work. If you have existing code using pandas-td, migration to pytd is the supported path forward.","worth_installing":"No. The package is abandoned, archived since 2020, and the maintainers explicitly direct users to pytd instead. Do not install for new projects. If you have legacy code using pandas-td, plan a migration to pytd."},"id":"pandas-td","links":{"html":"https://skillfed.io/packages/pandas-td","md":"https://skillfed.io/packages/pandas-td.md","pypi":"https://pypi.org/project/pandas-td/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2019-03-29","license_spdx":null,"license_treatment":"permissive","name":"pandas-td","python_support":"unspecified","summary":"Pandas extension for Treasure Data"},"popularity":{"monthly_downloads":92050,"position":13483,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.10.0"}