8.5.38. Array

class Array

Methods

__init__
all	a.all(axis=None, out=None, keepdims=False, *, where=True)
any	a.any(axis=None, out=None, keepdims=False, *, where=True)
argmax	a.argmax(axis=None, out=None, *, keepdims=False)
argmin	a.argmin(axis=None, out=None, *, keepdims=False)
argpartition	a.argpartition(kth, axis=-1, kind='introselect', order=None)
argsort	a.argsort(axis=-1, kind=None, order=None)
astype	a.astype(dtype, order='K', casting='unsafe', subok=True, copy=True)
byteswap	a.byteswap(inplace=False)
choose	a.choose(choices, out=None, mode='raise')
clip	a.clip(min=None, max=None, out=None, **kwargs)
collapse
compress	a.compress(condition, axis=None, out=None)
conj	a.conj()
conjugate	a.conjugate()
copy	a.copy(order='C')
cumprod	a.cumprod(axis=None, dtype=None, out=None)
cumsum	a.cumsum(axis=None, dtype=None, out=None)
diagonal	a.diagonal(offset=0, axis1=0, axis2=1)
dot
dump	a.dump(file)
dumps	a.dumps()
fill	a.fill(value)
flatten	a.flatten(order='C')
getfield	a.getfield(dtype, offset=0)
item	a.item(*args)
max	a.max(axis=None, out=None, keepdims=False, initial=<no value>, where=True)
mean	a.mean(axis=None, dtype=None, out=None, keepdims=False, *, where=True)
min	a.min(axis=None, out=None, keepdims=False, initial=<no value>, where=True)
nonzero	a.nonzero()
partition	a.partition(kth, axis=-1, kind='introselect', order=None)
prod	a.prod(axis=None, dtype=None, out=None, keepdims=False,
put	a.put(indices, values, mode='raise')
ravel	a.ravel([order])
repeat	a.repeat(repeats, axis=None)
reshape	a.reshape(shape, /, *, order='C', copy=None)
resize	a.resize(new_shape, refcheck=True)
round	a.round(decimals=0, out=None)
searchsorted	a.searchsorted(v, side='left', sorter=None)
setfield	a.setfield(val, dtype, offset=0)
setflags	a.setflags(write=None, align=None, uic=None)
sort	a.sort(axis=-1, kind=None, order=None)
squeeze	a.squeeze(axis=None)
std	a.std(axis=None, dtype=None, out=None, ddof=0, keepdims=False, *, where=True)
sum	a.sum(axis=None, dtype=None, out=None, keepdims=False, initial=0, where=True)
swapaxes	a.swapaxes(axis1, axis2)
take	a.take(indices, axis=None, out=None, mode='raise')
to_device
tobytes	a.tobytes(order='C')
tofile	a.tofile(fid, sep="", format="%s")
tolist	a.tolist()
trace	a.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None)
transpose	a.transpose(*axes)
var	a.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False, *, where=True)
view	a.view([dtype][, type])

__init__()

Attributes

T	View of the transposed array.
base	Base object if memory is from some other object.
ctypes	An object to simplify the interaction of the array with the ctypes module.
data	Python buffer object pointing to the start of the array's data.
device
dtype	Data-type of the array's elements.
flags	Information about the memory layout of the array.
flat	A 1-D iterator over the array.
imag	The imaginary part of the array.
itemset
itemsize	Length of one array element in bytes.
mT	View of the matrix transposed array.
nbytes	Total bytes consumed by the elements of the array.
ndim	Number of array dimensions.
newbyteorder
ptp
real	The real part of the array.
shape	Tuple of array dimensions.
size	Number of elements in the array.
strides	Tuple of bytes to step in each dimension when traversing an array.

reshape(shape, /, *, order='C', copy=None)

Returns an array containing the same data with a new shape.

Refer to numpy.reshape for full documentation.

8.5.38. See Also

numpy.reshape : equivalent function

8.5.38. Notes

Unlike the free function numpy.reshape, this method on ndarray allows the elements of the shape parameter to be passed in as separate arguments. For example, a.reshape(10, 11) is equivalent to a.reshape((10, 11)).