def latex_get_stats(lbl, data, mode=0):
stats_ = util_dev.get_stats(data)
if stats_.get('empty_list', False):
return '% NA: latex_get_stats, data=[]'
try:
max_ = stats_['max']
min_ = stats_['min']
mean = stats_['mean']
std = stats_['std']
shape = stats_['shape']
except KeyError as ex:
stat_keys = stats_.keys() # NOQA
printex(ex, key_list=['stat_keys', 'stats_', 'data'])
raise
#int_fmt = lambda num: util.num_fmt(int(num))
float_fmt = lambda num: util_num.num_fmt(float(num))
tup_fmt = lambda tup: str(tup)
fmttup = (float_fmt(min_), float_fmt(max_), float_fmt(mean), float_fmt(std), tup_fmt(shape))
lll = ' ' * len(lbl)
if mode == 0:
prefmtstr = r'''
{label} stats & min ; max = %s ; %s\\
{space} & mean; std = %s ; %s\\
{space} & shape = %s \\'''
if mode == 1:
prefmtstr = r'''
{label} stats & min = $%s$\\
{space} & max = $%s$\\
{space} & mean = $%s$\\
{space} & std = $%s$\\
{space} & shape = $%s$\\'''
fmtstr = prefmtstr.format(label=lbl, space=lll)
latex_str = textwrap.dedent(fmtstr % fmttup).strip('\n') + '\n'
return latex_str
def latex_scalar(lbl, data):
return (r'%s & %s\\' % (lbl, util_num.num_fmt(data))) + '\n'
def latex_scalar(lbl, data):
return (r'%s & %s\\' % (lbl, util_num.num_fmt(data))) + '\n'
def float_fmt(num):
return util_num.num_fmt(float(num))
def float_fmt(num):
return util_num.num_fmt(float(num))
