def call_quantile(self, other_args: List[str]):
"""Process quantile command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="quantile",
description="""
The quantiles are values which divide the distribution such that
there is a given proportion of observations below the quantile.
For example, the median is a quantile. The median is the central
value of the distribution, such that half the points are less than
or equal to it and half are greater than or equal to it.
By default, q is set at 0.5, which effectively is median. Change q to
get the desired quantile (0<q<1).
""",
)
parser.add_argument(
"-l",
"--length",
action="store",
dest="n_length",
type=check_positive,
default=14,
help="length",
)
parser.add_argument(
"-q",
"--quantile",
action="store",
dest="f_quantile",
type=check_proportion_range,
default=0.5,
help="quantile",
)
ns_parser = parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
rolling_view.display_quantile(
name=self.ticker,
df=self.stock,
target=self.target,
length=ns_parser.n_length,
quantile=ns_parser.f_quantile,
export=ns_parser.export,
)
def call_quantile(self, other_args: List[str]):
"""Process quantile command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="quantile",
description="""
The quantiles are values which divide the distribution such that
there is a given proportion of observations below the quantile.
For example, the median is a quantile. The median is the central
value of the distribution, such that half the points are less than
or equal to it and half are greater than or equal to it.
By default, q is set at 0.5, which effectively is median. Change q to
get the desired quantile (0<q<1).
""",
)
parser.add_argument(
"-l",
"--length",
action="store",
dest="n_length",
type=check_positive,
default=14,
help="length",
)
parser.add_argument(
"-q",
"--quantile",
action="store",
dest="f_quantile",
type=check_proportion_range,
default=0.5,
help="quantile",
)
parser.add_argument(
"--export",
choices=["csv", "json", "xlsx"],
default="",
type=str,
dest="export",
help="Export dataframe data to csv,json,xlsx file",
)
try:
ns_parser = parse_known_args_and_warn(parser, other_args)
if not ns_parser:
return
rolling_view.display_quantile(
name=self.ticker,
df=self.stock,
target=self.target,
length=ns_parser.n_length,
quantile=ns_parser.f_quantile,
export=ns_parser.export,
)
except Exception as e:
print(e, "\n")