from CodeTools.PlottingManager import myPickle
from Plotting_Libraries.dazer_plotter import Plot_Conf
from numpy import linspace
import seaborn as sns
import pyneb as pn
# pn.atomicData.setDataFile('h_i_rec_SH95.hdf5', 'H1', 'rec')
# pn.atomicData.setDataFile('he_ii_rec_SH95.hdf5', 'He2', 'rec')
#Declare Classes
pv = myPickle()
dz = Plot_Conf()
#Define figure format
dz.FigConf()
# Atom creation and definition of physical conditions
S4 = pn.Atom('S', 4)
#Define physical conditions
tem = 10000
tem_range = linspace(10000, 25000, 100)
den = 100
den_range = linspace(10, 300, 100)
# Comment the second if you want all the lines to be plotted
# S_Lines=[105100, 1404.81, 1423.84, 1398.04, 1416.89, 290100.0, 1387.46, 1406.02, 112300, 183200]
# S_Lines=[1404.81, 1423.84, 1416.89, 1406.02, 112300]
S_Lines = [105000]
# print " -> %s" % outfile
fhandle = urllib2.urlopen(url)
open(outfile, 'w').write(fhandle.read())
def fetch_image(RA, DEC, folder, Name):
filename = os.path.join(folder + Name)
if not os.path.exists(filename):
_fetch(filename, RA, DEC)
return image.imread(filename)
#Generate dazer object
pv = myPickle()
#Generate dazer object
dz = Plot_Conf()
#Define figure format
dz.FigConf(n_colors = 2)
#Define operation
Catalogue_Dic = DataToTreat('WHT_CandiatesObjects_2016A')
#Generate the catalogue folders
pv.generate_catalogue_tree(Catalogue_Dic)
#Recover objects list
Table_Address = Catalogue_Dic['Data_Folder'] + 'WHT_Candidate_Objects_List'
