PyOngc

A python interface for accessing OpenNGC database data

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Description

PyOngc provides a python module to access astronomical data about NGC and IC objects.

The data is based on OpenNGC database https://github.com/mattiaverga/OpenNGC.

It is composed by a python module and a command line interface named (guess what) ongc, which can be used to quickly see object details or build object lists based on several parameters.

PyOngc can pass data to PyEphem in a simple way to get ephemerides of NGC/IC objects: see the documentation about ongc.xephemFormat method.

Usage

>>> from pyongc import ongc
>>> DSOobject = ongc.get("NGC7000")
>>> DSOobject.coords
array([[20.  , 59.  , 17.14],
       [44.  , 31.  , 43.6 ]])

Object data is easily available from command line also:

$ ongc view NGC7000 --details
+-----------------------------------------------------------------------------+
| Id: 13067     Name: NGC7000           Type: HII Ionized region              |
| R.A.: 20:59:17.14      Dec.: +44:31:43.6      Constellation: Cyg            |
| Common names:                                                               |
|    North America Nebula                                                     |
+-----------------------------------------------------------------------------+
| Major axis: 120.0'     Minor axis: 30.0'      Position angle: N/A           |
| B-mag: 4.0     V-mag: N/A     J-mag: N/A     H-mag: N/A     K-mag: N/A      |
|                                                                             |
| Parallax: N/A          Radial velocity: N/A           Redshift: N/A         |
|                                                                             |
| Proper apparent motion in RA: N/A                                           |
| Proper apparent motion in Dec: N/A                                          |
|                                                                             |
+-----------------------------------------------------------------------------+
| Other identifiers:                                                          |
|    C 020, LBN 373                                                           |
+-----------------------------------------------------------------------------+

Additionally, the available data can be manipulated through Pandas:

>>> from pyongc import data
>>> data.clusters(globular=True, open=False)
        name type        ra       dec const  ...  parallax  pmra  pmdec radvel  redshift
0     IC1257  GCl  4.569009 -0.123798   Oph  ...       NaN   NaN    NaN    NaN       NaN
1     IC1276  GCl  4.759242 -0.125796   Se2  ...    0.1100 -2.47  -4.41  155.0  0.000517
2     IC2134  GCl  1.409778 -1.316796   Men  ...       NaN   NaN    NaN    NaN       NaN
3     IC2140  GCl  1.454580 -1.315548   Men  ...       NaN   NaN    NaN    NaN       NaN
4     IC2146  GCl  1.473853 -1.305213   Men  ...       NaN   NaN    NaN  226.0  0.000755
..       ...  ...       ...       ...   ...  ...       ...   ...    ...    ...       ...
199  NGC7006  GCl  5.504278  0.282526   Del  ...       NaN -0.08  -0.61 -383.0 -0.001278
200  NGC7078  GCl  5.628569  0.212351   Peg  ...    0.0522 -0.63  -3.80 -107.0 -0.000356
201  NGC7089  GCl  5.643741 -0.014369   Aqr  ...    0.0612  3.51  -2.16   -4.0 -0.000012
202  NGC7099  GCl  5.673921 -0.404551   Cap  ...    0.0676 -0.73  -7.24 -185.0 -0.000618
203  NGC7492  GCl  6.058233 -0.272472   Aqr  ...    0.0528  0.76  -2.30 -177.0 -0.000589

[204 rows x 22 columns]

The full documentation is available at https://pyongc.readthedocs.io/en/latest/.