本文整理汇总了Python中tools.DHadTable.column_append_by_divide方法的典型用法代码示例。如果您正苦于以下问题：Python DHadTable.column_append_by_divide方法的具体用法？Python DHadTable.column_append_by_divide怎么用？Python DHadTable.column_append_by_divide使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tools.DHadTable的用法示例。
在下文中一共展示了DHadTable.column_append_by_divide方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: divide_yields
# 需要导入模块: from tools import DHadTable [as 别名]
# 或者: from tools.DHadTable import column_append_by_divide [as 别名]
def divide_yields(args):
if args[0] not in ['signal', 'data'] :
raise NameError(args)
variable = 'yields'
rnd='.01'
dt_type = args[0]
tag = args[1]
tab_A = args[2]
tab_B = args[3]
label_A, fitbase_A, prefix_A = tools.parse_tabname(_opts, tab_A)
label_B, fitbase_B, prefix_B = tools.parse_tabname(_opts, tab_B)
sys.stdout.write('dhad.tab : Divide %s of %s by %s:' %(
variable, tab_A, tab_B))
tab = DHadTable()
namestyle = 'fname,fnamebar'
tab.column_append_from_dict('Mode', namestyle)
tab.column_append_from_files(label_A, 'N1,N2', fitbase_A, prefix_A,
dt_type, tag ,'txt', rnd='1.')
tab.column_append_from_files(label_B, 'N1,N2', fitbase_B, prefix_B,
dt_type, tag ,'txt', rnd='1.')
tab.column_append_by_divide('%s/%s' %(label_A, label_B), label_A,
label_B, rnd=rnd, err_type='Indp')
tab.output(_tabname)示例2: yields
# 需要导入模块: from tools import DHadTable [as 别名]
# 或者: from tools.DHadTable import column_append_by_divide [as 别名]
def yields(opts, tabname, args):
if args[0] not in ['signal', 'data'] :
raise NameError(args)
rnd='.01'
err_type=None
diff = 'pct'
sign = 1
if opts.set:
for li in opts.set.split(':'):
name = li.split('=')[0]
value = li.split('=')[1]
sys.stdout.write('Set %s = %s \n' % (name, value))
if name == 'diff':
diff = value
if name == 'err_type':
err_type = value
if name == 'sign':
sign = value
variable = 'yields'
dt_type = args[0]
tag = args[1]
label_A = args[2]
label_B = args[3]
fitbase = attr.fitbase
sys.stdout.write('dhad.tab : Compare %s between %s and %s:\n' %(
variable, label_A, label_B ))
tab = DHadTable()
namestyle = 'fname,fnamebar'
tab.column_append_from_dict('Mode', namestyle)
tab.column_append_from_files(label_A, 'N1,N2', fitbase, 'dir_%s' %label_A,
dt_type, tag ,'txt', rnd='1.')
tab.column_append_from_files(label_B, 'N1,N2', fitbase, 'dir_%s' %label_B,
dt_type, tag ,'txt', rnd='1.')
if sign == '0':
tab.rows_join_by_average(rnd='1.')
if diff == 'pct':
tab.column_append_by_diff_pct(
'diff(%)', label_B,label_A, rnd=rnd, err_type=err_type)
elif diff == 'sigma_pct':
tab.column_append_by_diff_sigma_pct('diff(%)', label_B,label_A, rnd=rnd)
elif diff == 'sigma2_pct':
tab.column_append_by_diff_sigma2_pct('diff(%)', label_B,label_A, rnd=rnd)
elif diff == 'ratio':
tab.column_append_by_divide(
'ratio', label_B,label_A, rnd=rnd, err_type='Indp')
else:
raise NameError(diff)
tab.output(tabname, test=opts.test)