neuralib.plot.venn.VennHandler

class neuralib.plot.venn.VennHandler

Bases: NamedTuple

VennHandler(subset_a, subset_b, subset_overlap, total_set)

__init__()

Methods

__init__()
count(value, /)	Return number of occurrences of value.
get_pure_fraction()
get_pure_number()
index(value[, start, stop])	Return first index of value.
with_total(total)	total set number.

Attributes

chance_level
subset_a	whole number with condition a
subset_b	whole number with condition b
subset_overlap	whole number with condition a & b
total_set	Alias for field number 3

subset_a: int

whole number with condition a

subset_b: int

whole number with condition b

subset_overlap: int

whole number with condition a & b

total_set: int | None

Alias for field number 3

property chance_level: float

with_total(total)

total set number. should include the non-classified population

Parameters:

total (int)

Return type:

VennHandler

get_pure_number()

Return type:

tuple[int, …]

get_pure_fraction()

Return type:

tuple[float, …]

static __new__(_cls, subset_a, subset_b, subset_overlap, total_set=None)

Create new instance of VennHandler(subset_a, subset_b, subset_overlap, total_set)

Parameters:

• subset_a (int)

• subset_b (int)

• subset_overlap (int)

• total_set (int | None)