Python-based software for generating astronomical tables covering celestial objects, including planets, stars, and comets. Provides extensive data for navigational and observational purposes. Suitable tool for both amateurs and professional astronomers.
ATpy is a package that provides a high-level interface for manipulating tables of astronomical data in a uniform manner. Each table can have any number of columns, with each column having a name, unit, null value and optional description. Metadata can be added in the form of keywords or comments. ATpy can be used to work with a single table or sets of tables.
One of the key features of ATpy is its ability to read and write tables in a number of different formats, including FITS, VO, and IPAC tables, as well as SQLite/MySQL/PostgreSQL databases. ATpy can be used to remove, add or rename columns, access and modify individual cells, create an empty table and populate it, and create a new table from a selection of rows. Additionally, it's possible to add keywords and comments and read and write sets of tables.
For example, a user can easily read, convert, and write a data file from a FITS table to a VO table, IPAC table, and SQLite using ATpy. The library will automatically detect the file type and convert it accordingly. Users can also access and modify data in the table with ease. Removing a column is as simple as calling the remove_column() function.
Overall, ATpy is a highly capable package for manipulating astronomical data tables in a standardized way, offering extended functionality to those already familiar with Python programming.
One of the key features of ATpy is its ability to read and write tables in a number of different formats, including FITS, VO, and IPAC tables, as well as SQLite/MySQL/PostgreSQL databases. ATpy can be used to remove, add or rename columns, access and modify individual cells, create an empty table and populate it, and create a new table from a selection of rows. Additionally, it's possible to add keywords and comments and read and write sets of tables.
For example, a user can easily read, convert, and write a data file from a FITS table to a VO table, IPAC table, and SQLite using ATpy. The library will automatically detect the file type and convert it accordingly. Users can also access and modify data in the table with ease. Removing a column is as simple as calling the remove_column() function.
Overall, ATpy is a highly capable package for manipulating astronomical data tables in a standardized way, offering extended functionality to those already familiar with Python programming.
What's New
Version 0.9.1: N/A