cHbeta_type,
Assumption='float')
obj_lines_frame = dz.load_object_frame(FileFolder,
CodeName,
emission_log,
chbeta_coef=cHbeta_type)
# obj_lines_frame_star = dz.load_object_frame(FileFolder, CodeName, emission_log_st, chbeta_coef = cHbeta_type)
Hbeta_Flux = obj_lines_frame['line_Flux']['H1_4861A']
Hbeta_Int = obj_lines_frame['line_Int']['H1_4861A']
#Generate object row of data
data_keys = dz.header_dict.keys()
Object_row = ['None'] * len(dz.header_dict)
#Establish table format
dz.latex_header(table_address=FileFolder + CodeName + Table_Name,
TitleColumn=['', '', 'HII Galaxy', CodeName, ''])
#Loop through all the emission recordings
objlines = obj_lines_frame.index.values
for j in range(len(objlines)):
if '_w' not in objlines[j]:
#Loop through the columns and prepare the data to store
for k in range(len(Object_row)):
thekey = data_keys[k]
if thekey == 'Emission':
format_index = where(
dz.LinesLogFormat_dict['0'] == objlines[j])[0][0]
wavelength = dz.format_for_table(
CodeName, FileName, FileFolder = dz.Analyze_Address(FilesList[i])
#load object data
cHbeta = dz.GetParameter_ObjLog(CodeName, FileFolder, cHbeta_type, Assumption='float')
obj_lines_frame = dz.load_object_frame(FileFolder, CodeName, emission_log, chbeta_coef = cHbeta_type)
# obj_lines_frame_star = dz.load_object_frame(FileFolder, CodeName, emission_log_st, chbeta_coef = cHbeta_type)
Hbeta_Flux = obj_lines_frame['line_Flux']['H1_4861A']
Hbeta_Int = obj_lines_frame['line_Int']['H1_4861A']
#Generate object row of data
data_keys = dz.header_dict.keys()
Object_row = ['None'] * len(dz.header_dict)
#Establish table format
dz.latex_header(table_address = FileFolder + CodeName + Table_Name, TitleColumn = ['', '', 'HII Galaxy', CodeName, ''])
#Loop through all the emission recordings
objlines = obj_lines_frame.index.values
for j in range(len(objlines)):
if '_w' not in objlines[j]:
#Loop through the columns and prepare the data to store
for k in range(len(Object_row)):
thekey = data_keys[k]
if thekey == 'Emission':
format_index = where(dz.LinesLogFormat_dict['0'] == objlines[j])[0][0]
wavelength = dz.format_for_table(obj_lines_frame.iloc[j]['TheoWavelength'], rounddig = 4)
ion = dz.LinesLogFormat_dict['3'][format_index]
# #Dictionary with the variables we want to compare
variables_dict = OrderedDict()
# variables_dict['y_plus_inf'] = 'HeII_HII'
# variables_dict['Te_inf'] = 'TSIII'
# variables_dict['ne_inf'] = 'nSII'
# variables_dict['cHbeta_inf'] = 'cHBeta_stellar'
#Locate files on hard drive
FilesList = OrganizedObject_List()
#Get the dictionary with the headers format and the data
dz.Catalogue_headers()
#Generate object table (it also works as table type)
dz.latex_header(Catalogue_Dic['Data_Folder'] + Table_Name)
#Loop through the files
for i in range(len(FilesList)):
#Trick to analyse the folders in the order I want
CurrentFile = Catalogue_Dic['Obj_Folder'] + FilesList[i] + '/' + FilesList[i] + emission_log
#Declare file address and logs address
CodeName, FileName, FileFolder = dz.Analyze_Address(CurrentFile)
#Load the lines log
lineslog_frame = dz.load_object_frame(FileFolder, CodeName, emission_log, chbeta_coef = cHbeta_type)
#Load the data
Ratios_dict, RatiosColor_dict = dz.load_Galaxy_Ratios(lineslog_frame, Atom_dict)
