Lightweight Python wrapper around the NASA Exoplanet Archive.
Project description
oplanet
Lightweight Python wrapper around the NASA Exoplanet Archive and the SVO database with practical helpers for stellar aliases, photometry, and system/planet properties.
This package is built to make exoplanet metadata easier to use in notebooks and scripts by exposing a simple object API and automatically selecting the most reliable published values.
Installation
From pip (recommended)
pip install oplanet
From GitHub
pip install "git+https://github.com/ProfesseurShadoko/oplanet.git"
Requirements
Dependencies are listed in requirements.txt:
oakleynumpypandasastroqueryastropyscipymatplotlibrequests
Quick examples
For a guided walkthrough with explanations and runnable cells, see examples.ipynb.
1. Resolve star names and aliases
from oplanet import parse_star_name, get_star_aliases
print(parse_star_name("TOI 1478"))
print(get_star_aliases("TOI 1478"))
2. Explore a system, its star, and its planets
from oplanet import NSystem
system = NSystem("LHS 1140")
print(system.star_name)
print(system.n_planets)
# Returns [value, err1, err2] when available,
# or [nan, upper_limit, lower_limit] when only limits exist
print(system.distance_pc)
print(system.star.age_myr)
print(system.b.mass_mjup)
print(system.b.orbital_period_yrs)
3. One-line import for common API
from oplanet import NSystem, parse_star_name, get_star_aliases, get_photometry_jy, SFilter
4. Pretty-print helpers (display and print_column)
from oplanet import NSystem
system = NSystem("LHS 1140")
# Human-readable summary of system properties
system.display()
# Human-readable summary for star and a planet
system.star.display()
system.b.display()
Returned values
Most numeric property getters in the object API return a NumPy array with 3 entries:
value: best selected valueerr_pos: positive uncertaintyerr_neg: negative uncertainty
When no direct value is available and only limits are present, the returned array is:
nan, limit_upper, limit_lower
Examples:
system = NSystem("LHS 1140")
age = system.star.age_myr
distance = system.distance_pc
print(age) # e.g. [value, err_pos, err_neg] or [nan, upper, lower]
print(distance) # same convention
Data behavior
On import, the loader keeps a local CSV cache in oplanet/data, removes older archive snapshots, and refreshes stale files automatically. Filters retrieved from the SVO database are also stored locally.
Notes
- Internet access is needed for Simbad/Vizier queries and first-time archive download.
- The support for exoplanet.eu will be added once the database becomes more reliable and code friendly.
License
MIT
Project details
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