ndarray

Standard library class numpy.ndarray.ndarray View source

class ndarray

@tuple

class ndarray[dtype, ndim]

Fields 2

dtype type

ndim Literal[int]

Constructors 2

__new__

__new__(shape: Tuple[ndim, int], strides: Tuple[ndim, int], data: Ptr[dtype])

Defined in numpy.ndarray

__new__

__new__(shape: Tuple[ndim, int], data: Ptr[dtype], fcontig: bool = False)

Defined in numpy.ndarray

Properties 11

shape

@property

shape(self)

Defined in numpy.ndarray

strides

@property

strides(self)

Defined in numpy.ndarray

flags

@property

flags(self)

Defined in numpy.ndarray

data

@property

data(self)

Defined in numpy.ndarray

size

@property

size(self)

Defined in numpy.ndarray

itemsize

@property

itemsize(self)

Defined in numpy.ndarray

nbytes

@property

nbytes(self)

Defined in numpy.ndarray

T

@property

T(self)

Defined in numpy.ndarray

flat

@property

flat(self)

Defined in numpy.ndarray

real

@property

real(self)

Added by numpy.routines

imag

@property

imag(self)

Added by numpy.routines

Methods 54

item

item(self, *args)

Defined in numpy.ndarray

transpose

transpose(self, *axes)

Defined in numpy.ndarray

transpose(self, axes: List[int])

Defined in numpy.ndarray

swapaxes

swapaxes(self, axis1: int, axis2: int)

Defined in numpy.ndarray

reshape

reshape(self, *shape, order: str = "C")

Defined in numpy.ndarray

tobytes

tobytes(self, order: str = "C")

Defined in numpy.ndarray

ravel

ravel(self, order: str = "C")

Defined in numpy.ndarray

flatten

flatten(self, order: str = "C")

Defined in numpy.ndarray

flat

flat(self, value)

Defined in numpy.ndarray

flat(self, val)

Added by numpy.routines

tolist

tolist(self)

Defined in numpy.ndarray

astype

astype(self, dtype: type, order: str = "K", copy: bool = True)

Defined in numpy.ndarray

copy

copy(self, order: str = "C")

Defined in numpy.ndarray

map

map(self, fn, inplace: Literal[bool] = False)

Defined in numpy.ndarray

fill

fill(self, value)

Defined in numpy.ndarray

view

view(self, dtype: type)

Defined in numpy.ndarray

byteswap

byteswap(self, inplace: bool = False)

Defined in numpy.ndarray

sort

sort(self, axis: int = -1, kind: Optional[str] = None)

Added by numpy.sorting

argsort

argsort(self, axis: int = -1, kind: Optional[str] = None)

Added by numpy.sorting

partition

partition(self, kth, axis: int = -1, kind: str = "introselect")

Added by numpy.sorting

argpartition

argpartition(self, kth, axis: int = -1, kind: str = "introselect")

Added by numpy.sorting

take

take(self, indices, axis = None, out = None, mode: str = "raise")

Added by numpy.routines

squeeze

squeeze(self, axis = None)

Added by numpy.routines

nonzero

nonzero(self)

Added by numpy.routines

searchsorted

searchsorted(self, v, side: str = "left", sorter = None)

Added by numpy.routines

repeat

repeat(self, repeats, axis = None)

Added by numpy.routines

compress

compress(self, condition, axis = None, out = None)

Added by numpy.routines

choose

choose(self, choices, out = None, mode: str = "raise")

Added by numpy.routines

diagonal

diagonal(self, offset: int = 0, axis1: int = 0, axis2: int = 1)

Added by numpy.routines

put

put(self, ind, v, mode: str = "raise")

Added by numpy.routines

round

round(self, decimals: int = 0, out = None)

Added by numpy.routines

clip

clip(self, min = None, max = None, out = None)

Added by numpy.routines

real

real(self, val)

Added by numpy.routines

imag

imag(self, val)

Added by numpy.routines

conj

conj(self)

Added by numpy.routines

conjugate

conjugate(self)

Added by numpy.routines

sum

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

Added by numpy.reductions

prod

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

Added by numpy.reductions

mean

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

Added by numpy.reductions

nanmean

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

Added by numpy.reductions

var

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

Added by numpy.reductions

nanvar

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

Added by numpy.reductions

std

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

Added by numpy.reductions

nanstd

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

Added by numpy.reductions

min

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

Added by numpy.reductions

ptp

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

Added by numpy.reductions

max

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

Added by numpy.reductions

argmin

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

Added by numpy.reductions

argmax

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

Added by numpy.reductions

any

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

Added by numpy.reductions

all

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

Added by numpy.reductions

cumprod

cumprod(self, axis = None, dtype: type = NoneType, out = None)

Added by numpy.ndmath

cumsum

cumsum(self, axis = None, dtype: type = NoneType, out = None)

Added by numpy.ndmath

dot

dot(self, other)

Added by numpy.linalg.linalg

trace

trace(self, offset: int = 0, axis1: int = 0, axis2: int = 1, dtype: type = NoneType, out = None)

Added by numpy.linalg.linalg

tofile

tofile(self, file, sep: str = "")

Added by numpy.npio

Special methods 65

__len__

__len__(self)

Defined in numpy.ndarray

__iter__

__iter__(self)

Defined in numpy.ndarray

__copy__

__copy__(self)

Defined in numpy.ndarray

__int__

__int__(self)

Defined in numpy.ndarray

__float__

__float__(self)

Defined in numpy.ndarray

__complex__

__complex__(self)

Defined in numpy.ndarray

__bool__

__bool__(self)

Defined in numpy.ndarray

__to_py__

__to_py__(self)

Added by numpy.pybridge

__from_py__

__from_py__(a: cobj)

Added by numpy.pybridge

__abs__

@inline

__abs__(self)

Added by numpy.ndmath

__to_gpu__

__to_gpu__(self, cache: gpu.AllocCache)

Added by numpy.ndgpu

__from_gpu__

__from_gpu__(self, other: ndarray[dtype, ndim])

Added by numpy.ndgpu

__from_gpu_new__

__from_gpu_new__(other: ndarray[dtype, ndim])

Added by numpy.ndgpu

__matmul__

__matmul__(self, other)

Added by numpy.linalg.linalg

__add__

@inline

__add__(self, other)

Added by numpy.operators

__radd__

@inline

__radd__(self, other)

Added by numpy.operators

__iadd__

@inline

__iadd__(self, other)

Added by numpy.operators

__sub__

@inline

__sub__(self, other)

Added by numpy.operators

__rsub__

@inline

__rsub__(self, other)

Added by numpy.operators

__isub__

@inline

__isub__(self, other)

Added by numpy.operators

__mul__

@inline

__mul__(self, other)

Added by numpy.operators

__rmul__

@inline

__rmul__(self, other)

Added by numpy.operators

__imul__

@inline

__imul__(self, other)

Added by numpy.operators

__mod__

@inline

__mod__(self, other)

Added by numpy.operators

__rmod__

@inline

__rmod__(self, other)

Added by numpy.operators

__imod__

@inline

__imod__(self, other)

Added by numpy.operators

__pow__

@inline

__pow__(self, other)

Added by numpy.operators

__rpow__

@inline

__rpow__(self, other)

Added by numpy.operators

__ipow__

@inline

__ipow__(self, other)

Added by numpy.operators

__truediv__

@inline

__truediv__(self, other)

Added by numpy.operators

__rtruediv__

@inline

__rtruediv__(self, other)

Added by numpy.operators

__itruediv__

@inline

__itruediv__(self, other)

Added by numpy.operators

__floordiv__

@inline

__floordiv__(self, other)

Added by numpy.operators

__rfloordiv__

@inline

__rfloordiv__(self, other)

Added by numpy.operators

__ifloordiv__

@inline

__ifloordiv__(self, other)

Added by numpy.operators

__lshift__

@inline

__lshift__(self, other)

Added by numpy.operators

__rlshift__

@inline

__rlshift__(self, other)

Added by numpy.operators

__ilshift__

@inline

__ilshift__(self, other)

Added by numpy.operators

__rshift__

@inline

__rshift__(self, other)

Added by numpy.operators

__rrshift__

@inline

__rrshift__(self, other)

Added by numpy.operators

__irshift__

@inline

__irshift__(self, other)

Added by numpy.operators

__and__

@inline

__and__(self, other)

Added by numpy.operators

__rand__

@inline

__rand__(self, other)

Added by numpy.operators

__iand__

@inline

__iand__(self, other)

Added by numpy.operators

__or__

@inline

__or__(self, other)

Added by numpy.operators

__ror__

@inline

__ror__(self, other)

Added by numpy.operators

__ior__

@inline

__ior__(self, other)

Added by numpy.operators

__xor__

@inline

__xor__(self, other)

Added by numpy.operators

__rxor__

@inline

__rxor__(self, other)

Added by numpy.operators

__ixor__

@inline

__ixor__(self, other)

Added by numpy.operators

__pos__

@inline

__pos__(self)

Added by numpy.operators

__neg__

@inline

__neg__(self)

Added by numpy.operators

__invert__

@inline

__invert__(self)

Added by numpy.operators

__eq__

@inline

__eq__(self, other)

Added by numpy.operators

__ne__

@inline

__ne__(self, other)

Added by numpy.operators

__lt__

@inline

__lt__(self, other)

Added by numpy.operators

__le__

@inline

__le__(self, other)

Added by numpy.operators

__gt__

@inline

__gt__(self, other)

Added by numpy.operators

__ge__

@inline

__ge__(self, other)

Added by numpy.operators

__repr__

__repr__(self)

Added by numpy.format

__str__

__str__(self)

Added by numpy.format

__getitem__

__getitem__(self, indexes)

Added by numpy.indexing

__setitem__

__setitem__(self, indexes, item)

Added by numpy.indexing

__pickle__

__pickle__(self, jar: Jar)

Added by numpy.npio

__unpickle__

__unpickle__(jar: Jar)

Added by numpy.npio