Using data with Pandas

The data module provides some function for using OpenNGC data with Pandas. Pandas is a powerful Python tool for data analysis and manipulation. OpenNGC data is provided as Pandas’ DataFrames.

Public Methods

pyongc.data.all() → DataFrame

Returns all data in the database.

Useful for subsequent custom data filtering.

pyongc.data.clusters(globular: bool = True, open: bool = True, other: bool = False, extra_ids: bool = False, notngc: bool = False) → DataFrame | None

Returns data for star clusters.

Parameters:

  • globular – fetch data for globular clusters

  • open – fetch data for open clusters

  • other – fetch data for star associations and Cl+N types

  • extra_ids – adds extra identifiers and common names to the output

  • notngc – if set to True return objects from the addendum catalog, otherwise return objects from the main NGC/IC catalog only

pyongc.data.galaxies(extra_ids: bool = False, notngc: bool = False) → DataFrame

Returns data for all galaxies in the database.

Parameters:

  • extra_ids – adds extra identifiers and common names to the output

  • notngc – if set to True return objects from the addendum catalog, otherwise return objects from the main NGC/IC catalog only

pyongc.data.nebulae(extra_ids: bool = False, notngc: bool = False) → DataFrame

Returns data for all galaxies in the database.

Parameters:

  • extra_ids – adds extra identifiers and common names to the output

  • notngc – if set to True return objects from the addendum catalog, otherwise return objects from the main NGC/IC catalog only