module numpy.reductions

Source: stdlib/numpy/reductions.codon

---

newaxis = None

---

SumRedux[T]

Fields

total: T

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

gradual_init(self, **kwargs)

gradual_accept(self, curr, item, index: int, **kwargs)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

NanSumRedux[T]

Fields

total: T

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

gradual_init(self, **kwargs)

gradual_accept(self, curr, item, index: int, **kwargs)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

ProdRedux[T]

Fields

total: T

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

gradual_init(self, **kwargs)

gradual_accept(self, curr, item, index: int, **kwargs)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

NanProdRedux[T]

Fields

total: T

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

gradual_init(self, **kwargs)

gradual_accept(self, curr, item, index: int, **kwargs)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

MeanRedux[T]

Fields

total: T

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

gradual_init(self, **kwargs)

gradual_accept(self, curr, item, index: int, **kwargs)

gradual_result(self, curr, count: int)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

NanMeanRedux[T]

Fields

total: T

T: type

nan_count: int

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

MinRedux[T]

Fields

m: Optional[T]

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

gradual_init(self, **kwargs)

gradual_accept(self, curr, item, index: int, **kwargs)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

MaxRedux[T]

Fields

m: Optional[T]

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

gradual_init(self, **kwargs)

gradual_accept(self, curr, item, index: int, **kwargs)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

PTPRedux[T]

Fields

hi: Optional[T]

lo: Optional[T]

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

loop(self, a: Ptr[S], n: int, stride: int, partial: Literal[bool], S: type)

---

ArgMinRedux[T]

Fields

m: Optional[T]

i: int

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

---

ArgMaxRedux[T]

Fields

m: Optional[T]

i: int

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

---

AnyRedux[T]

Fields

a: bool

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

---

AllRedux[T]

Fields

a: bool

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

---

NonZeroRedux[T]

Fields

nonzero: int

T: type

Magic methods

__init__(self, **kwargs)

Methods

create(T: type, **kwargs)

accept(self, item: T, index: int)

result(self, count: int)

empty(**kwargs)

done(self)

gradual_init(self, **kwargs)

gradual_accept(self, curr, item, index: int, **kwargs)

---

sum(a, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, initial = 0, where = util._NoValue())

---

nansum(a, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, initial = 0, where = util._NoValue())

---

prod(a, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, initial = 1, where = util._NoValue())

---

nanprod(a, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, initial = 1, where = util._NoValue())

---

mean(a, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, where = util._NoValue())

---

nanmean(a, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, where = util._NoValue())

---

var(a, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, where = util._NoValue())

---

nanvar(a, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, where = util._NoValue())

---

std(a, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, where = util._NoValue())

---

nanstd(a, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, where = util._NoValue())

---

min(a, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, initial = util._NoValue(), where = util._NoValue())

---

max(a, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, initial = util._NoValue(), where = util._NoValue())

---

ptp(a, axis = None, out = None, keepdims: Literal[bool] = False)

---

argmin(a, axis = None, out = None, keepdims: Literal[bool] = False)

---

argmax(a, axis = None, out = None, keepdims: Literal[bool] = False)

---

any(a, axis = None, out = None, keepdims: Literal[bool] = False, where = util._NoValue())

---

all(a, axis = None, out = None, keepdims: Literal[bool] = False, where = util._NoValue())

---

count_nonzero(a, axis = None, keepdims: Literal[bool] = False)

---

median(a, axis = None, out = None, overwrite_input: bool = False, keepdims: Literal[bool] = False)

---

nanmedian(a, axis = None, out = None, overwrite_input: bool = False, keepdims: Literal[bool] = False)

---

quantile(a, q, axis = None, out = None, overwrite_input: bool = False, method: str = "linear", keepdims: Literal[bool] = False, interpolation = None)

---

nanquantile(a, q, axis = None, out = None, overwrite_input: bool = False, method: str = "linear", keepdims: Literal[bool] = False, interpolation = None)

---

percentile(a, q, axis = None, out = None, overwrite_input: bool = False, method: str = "linear", keepdims: Literal[bool] = False, interpolation = None)

---

nanpercentile(a, q, axis = None, out = None, overwrite_input: bool = False, method: str = "linear", keepdims: Literal[bool] = False, interpolation = None)

---

ndarray[dtype,ndim] @extend Class is extended to add given methods

Methods

sum(self, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, initial = 0, where = util._NoValue())

prod(self, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, initial = 1, where = util._NoValue())

mean(self, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, where = util._NoValue())

nanmean(self, axis = None, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, where = util._NoValue())

var(self, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, where = util._NoValue())

nanvar(self, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, where = util._NoValue())

std(self, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, where = util._NoValue())

nanstd(self, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, where = util._NoValue())

min(self, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, initial = util._NoValue(), where = util._NoValue())

ptp(self, axis = None, out = None, keepdims: Literal[bool] = False)

max(self, axis = None, dtype: type = NoneType, out = None, ddof: int = 0, keepdims: Literal[bool] = False, initial = util._NoValue(), where = util._NoValue())

argmin(self, axis = None, out = None, keepdims: Literal[bool] = False)

argmax(self, axis = None, out = None, keepdims: Literal[bool] = False)

any(self, axis = None, out = None, keepdims: Literal[bool] = False, where = util._NoValue())

all(self, axis = None, out = None, keepdims: Literal[bool] = False, where = util._NoValue())