本文整理匯總了Python中tools.DHadTable.column_append_by_diff_sigma方法的典型用法代碼示例。如果您正苦於以下問題：Python DHadTable.column_append_by_diff_sigma方法的具體用法？Python DHadTable.column_append_by_diff_sigma怎麽用？Python DHadTable.column_append_by_diff_sigma使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tools.DHadTable的用法示例。
在下文中一共展示了DHadTable.column_append_by_diff_sigma方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: brf_data_results
# 需要導入模塊: from tools import DHadTable [as 別名]
# 或者: from tools.DHadTable import column_append_by_diff_sigma [as 別名]
def brf_data_results(opts, tabname, args):
'''
-----------------------------
Results of the Data Fit
-----------------------------
'''
label_A = args[0]
label_B = args[1]
verbose = opts.verbose
bffilename = 'bf_stat_sys'
labels = []
labels.append(label_A)
labels.append(label_B)
tab = DHadTable()
paras = False
for label in labels:
if '281ipb' in label:
factor = 0.000001
elif '537ipb' in label:
factor = 0.000001*281/537
elif '818ipb' in label or 'v13' in label:
factor = 0.000001*281/818
else:
raise NameError(label)
if '818ipb' in label_A and '818ipb' in label_B:
factor = 0.000001
if '818ipb' in label_A and 'v13' in label_B:
factor = 0.000001
bffile = os.path.join(attr.brfpath, label, bffilename)
if not paras:
tab.column_append(tools.parse_result(bffile, 'paras'),
'Parameters')
paras = True
tab.column_append(tools.parse_result(bffile, 'value'), 'value', rnd='.00001' )
tab.column_append(tools.parse_result(bffile, 'stat'), 'stat')
tab.column_append(tools.parse_result(bffile, 'syst'), 'syst')
tab.columns_join3('Fitted Value', 'value', 'stat', 'syst')
tab.column_trim('Fitted Value', row=['ND0D0Bar', 'ND+D-'],
rnd='.0001', factor=factor, opt='(cell)x1E6')
tab.column_trim('Fitted Value', rnd='.00001',
except_row=['ND0D0Bar', 'ND+D-'])
tab.column_append(tools.parse_result(bffile, 'err_frac'),
'Frac. Err', rnd='.1', opt='(cell%)')
tab.columns_join(label, 'Fitted Value','Frac. Err', str=' ')
tab.column_append_by_diff_sigma('Difference', label_B,label_A)
tab.output(tabname, test=opts.test)示例2: pdg2009
# 需要導入模塊: from tools import DHadTable [as 別名]
# 或者: from tools.DHadTable import column_append_by_diff_sigma [as 別名]
def pdg2009(args):
'''
--------------------------------------------------------
Results of the Data Fit Compare with PDG 2009
--------------------------------------------------------
'''
label = args[0]
verbose = opts.verbose
bffilename = 'bf_stat_sys'
bffile = os.path.join(attr.brfpath, label, bffilename)
tab = DHadTable()
tab.column_append(tools.parse_result(bffile, 'paras'), 'Parameters')
tab.column_append(tools.parse_result(bffile, 'value'), 'value')
tab.column_append(tools.parse_result(bffile, 'stat'), 'stat')
tab.column_append(tools.parse_result(bffile, 'syst'), 'syst')
tab.columns_join3('Fitted Value', 'value', 'stat', 'syst')
tab.column_trim('Fitted Value', row = ['ND0D0Bar', 'ND+D-'],
rnd = '.001', factor = 0.000001, opt = '(cell)x10E6')
tab.column_trim('Fitted Value', rnd = '.0001',
except_row = ['ND0D0Bar', 'ND+D-'])
tab.column_append(tools.parse_result(bffile, 'err_frac'),
'Frac. Err', rnd = '.1', opt = '(cell%)')
tab.columns_join('Fitted Value','Fitted Value','Frac. Err', str=' ')
tab.column_append(attr.PDG2009_NBF, 'PDG 2009')
tab.column_append_by_diff_sigma('Difference', 'Fitted Value', 'PDG 2009')
tab.output(_tabname)