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from Orange.data import Variable, Storage
def _get_variable(variable, dat):
if isinstance(variable, Variable):
datvar = getattr(dat, "variable", None)
if datvar is not None and datvar is not variable:
raise ValueError("variable does not match the variable "
"in the data")
elif hasattr(dat, "domain"):
variable = dat.domain[variable]
elif hasattr(dat, "variable"):
variable = dat.variable
else:
raise ValueError("invalid specification of variable")
return variable
class BasicStats:
def __init__(self, dat=None, variable=None):
if isinstance(dat, Storage):
self.from_data(dat, variable)
elif dat is None:
self.min = float("inf")
self.max = float("-inf")
self.mean = self.var = self.nans = self.non_nans = 0
else:
self.min, self.max, self.mean, self.var, self.nans, self.non_nans \
= dat
def from_data(self, data, variable):
variable = _get_variable(variable, data)
stats = data._compute_basic_stats([variable])
self.min, self.max, self.mean, self.var, self.nans, self.non_nans \
= stats[0]
class DomainBasicStats:
def __init__(self, data, include_metas=False, compute_variance=False):
self.domain = data.domain
self.stats = [BasicStats(s) for s in
data._compute_basic_stats(include_metas=include_metas,
compute_variance=compute_variance)]
def __getitem__(self, index):
"""
Index can be a variable, variable name or an integer. Meta attributes
can be specified by negative indices or by indices above len(domain.variables).
"""
if not isinstance(index, int):
index = self.domain.index(index)
if index < 0:
index = len(self.domain.variables) + (-1 - index)
return self.stats[index]
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