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'