Familiarization of TNG Data Acess Goals

Graph 3D time-dependent distribution of things (e.g. stellar mass, Europeum, star formation rate) import requests import h5py import numpy as np import matplotlib.pyplot as plt base_url = 'http://www.tng-project.org/api/' headers = {'api-key': '869b608c817d0a731e5439be3345bdf7'} def get(path, params=None): # make HTTP GET request to path r = requests.get(path, params=params, headers=headers) ​ # raise exception if response code is not HTTP SUCCESS (200) r.raise_for_status() ​ if r.headers['content-type'] == 'application/json': return r.json() # parse json responses automatically ​ if 'content-disposition' in r.headers: filename = r.headers['content-disposition'].split("filename=")[1] with open(filename, 'wb') as f: f.write(r.content) return filename # return the filename string ​ return r r = get(base_url) name_list = [sim['name'] for sim in r['simulations']] index = name_list.index('Illustris-3') sim = get(r['simulations'][index]['url']) snaps_json = get(sim['snapshots']) snap = get(snaps_json[0]['url']) snap_file = get(snap['files']['snapshot']) file = snap_file['files'][0] ​ with h5py.File(get(file), 'r') as f: f.keys() ​ cutout = get(file, {'gas':'ParticleIDs,Masses,StarFormationRate'}) ​ with h5py.File(cutout,'r') as f: particle_ids = f['PartType0']['ParticleIDs'][:] dens = np.log10(f['PartType0']['Masses'][:])

len(particle_ids) 2936930 There are a lot of variables and sometimes it is hard to remember what each one of them mean, this link http://www.tng-project.org/data/docs/specifications/#sec1a gives a description of all of these variables and a basic structure of the API.

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