numpy.record

classnumpy.record(length_or_data, /, dtype=None)[source]

A data-type scalar that allows field access as attribute lookup.

Attributes:

T

Scalar attribute identical to ndarray.T.

base

base object

data

Pointer to start of data.

device

dtype

dtype object

flags

integer value of flags

flat

A 1-D view of the scalar.

imag

The imaginary part of the scalar.

itemsize

The length of one element in bytes.

nbytes

ndim

The number of array dimensions.

real

The real part of the scalar.

shape

Tuple of array dimensions.

size

The number of elements in the gentype.

strides

Tuple of bytes steps in each dimension.

Methods

all(/[, axis, out, keepdims, where])	Scalar method identical to ndarray.all.
any(/[, axis, out, keepdims, where])	Scalar method identical to ndarray.any.
argmax(/[, axis, out, keepdims])	Scalar method identical to ndarray.argmax.
argmin(/[, axis, out, keepdims])	Scalar method identical to ndarray.argmin.
argsort(/[, axis, kind, order, stable])	Scalar method identical to ndarray.argsort.
astype(/, dtype[, order, casting, subok, copy])	Scalar method identical to ndarray.astype.
byteswap(/[, inplace])	Scalar method identical to ndarray.byteswap.
choose(/, choices[, out, mode])	Scalar method identical to ndarray.choose.
clip(/[, min, max, out])	Scalar method identical to ndarray.clip.
compress(/, condition[, axis, out])	Scalar method identical to ndarray.compress.
conj(/)	Scalar method identical to ndarray.conj.
conjugate(/)	Scalar method identical to ndarray.conjugate.
copy(/[, order])	Scalar method identical to ndarray.copy.
cumprod(/[, axis, dtype, out])	Scalar method identical to ndarray.cumprod.
cumsum(/[, axis, dtype, out])	Scalar method identical to ndarray.cumsum.
diagonal(/[, offset, axis1, axis2])	Scalar method identical to ndarray.diagonal.
dump(/, file)	Scalar method identical to ndarray.dump.
dumps(/)	Scalar method identical to ndarray.dumps.
fill(/, value)	Scalar method identical to ndarray.fill.
flatten(/[, order])	Scalar method identical to ndarray.flatten.
getfield	Scalar method identical to ndarray.getfield.
item(*args)	Scalar method identical to ndarray.item.
max(/[, axis, out])	Scalar method identical to ndarray.max.
mean(/[, axis, dtype, out])	Scalar method identical to ndarray.mean.
min(/[, axis, out])	Scalar method identical to ndarray.min.
nonzero(/)	Scalar method identical to ndarray.nonzero.
pprint()	Pretty-print all fields.
prod(/[, axis, dtype, out])	Scalar method identical to ndarray.prod.
put(indices, values, /[, mode])	Scalar method identical to ndarray.put.
ravel(/[, order])	Scalar method identical to ndarray.ravel.
repeat(repeats, /[, axis])	Scalar method identical to ndarray.repeat.
reshape(*shape[, order, copy])	Scalar method identical to ndarray.reshape.
resize(*new_shape[, refcheck])	Scalar method identical to ndarray.resize.
round(/[, decimals, out])	Scalar method identical to ndarray.round.
searchsorted(v, /[, side, sorter])	Scalar method identical to ndarray.searchsorted.
setfield	Scalar method identical to ndarray.setfield.
setflags(*[, write, align, uic])	Scalar method identical to ndarray.setflags.
sort(/[, axis, kind, order, stable])	Scalar method identical to ndarray.sort.
squeeze(/[, axis])	Scalar method identical to ndarray.squeeze.
std(/[, axis, dtype, out, ddof])	Scalar method identical to ndarray.std.
sum(/[, axis, dtype, out])	Scalar method identical to ndarray.sum.
swapaxes(axis1, axis2, /)	Scalar method identical to ndarray.swapaxes.
take(indices, /[, axis, out, mode])	Scalar method identical to ndarray.take.
to_device(device, *[, stream])	Scalar method identical to ndarray.to_device.
tobytes(/[, order])	Scalar method identical to ndarray.tobytes.
tofile(fid, /[, sep, format])	Scalar method identical to ndarray.tofile.
tolist(/)	Scalar method identical to ndarray.tolist.
trace(/[, offset, axis1, axis2, dtype, out])	Scalar method identical to ndarray.trace.
transpose(*axes)	Scalar method identical to ndarray.transpose.
var(/[, axis, dtype, out, ddof])	Scalar method identical to ndarray.var.
view(*args, **kwargs)	Scalar method identical to ndarray.view.