tf.experimental.numpy.string_

bytes(iterable_of_ints) -> bytes

tf.experimental.numpy.string_(
    *args, **kwargs
)

bytes(string, encoding[, errors]) -> bytes bytes(bytes_or_buffer) -> immutable copy of bytes_or_buffer bytes(int) -> bytes object of size given by the parameter initialized with null bytes bytes() -> empty bytes object

Construct an immutable array of bytes from:

• an iterable yielding integers in range(256)
• a text string encoded using the specified encoding
• any object implementing the buffer API.
• an integer

Methods

all

all()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

any

any()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

argmax

argmax()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

argmin

argmin()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

argsort

argsort()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

astype

astype()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

byteswap

byteswap()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

capitalize

capitalize()

B.capitalize() -> copy of B

Return a copy of B with only its first character capitalized (ASCII) and the rest lower-cased.

center

center()

B.center(width[, fillchar]) -> copy of B

Return B centered in a string of length width. Padding is done using the specified fill character (default is a space).

choose

choose()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

clip

clip()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

compress

compress()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

conj

conj()

conjugate

conjugate()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

copy

copy()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

count

count()

B.count(sub[, start[, end]]) -> int

Return the number of non-overlapping occurrences of subsection sub in bytes B[start:end]. Optional arguments start and end are interpreted as in slice notation.

cumprod

cumprod()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

cumsum

cumsum()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

decode

decode(
    encoding='utf-8', errors='strict'
)

Decode the bytes using the codec registered for encoding.

encoding The encoding with which to decode the bytes. errors The error handling scheme to use for the handling of decoding errors. The default is 'strict' meaning that decoding errors raise a UnicodeDecodeError. Other possible values are 'ignore' and 'replace' as well as any other name registered with codecs.register_error that can handle UnicodeDecodeErrors.

diagonal

diagonal()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

dump

dump()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

dumps

dumps()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

endswith

endswith()

B.endswith(suffix[, start[, end]]) -> bool

Return True if B ends with the specified suffix, False otherwise. With optional start, test B beginning at that position. With optional end, stop comparing B at that position. suffix can also be a tuple of bytes to try.

expandtabs

expandtabs()

B.expandtabs(tabsize=8) -> copy of B

Return a copy of B where all tab characters are expanded using spaces. If tabsize is not given, a tab size of 8 characters is assumed.

fill

fill()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

find

find()

B.find(sub[, start[, end]]) -> int

Return the lowest index in B where subsection sub is found, such that sub is contained within B[start,end]. Optional arguments start and end are interpreted as in slice notation.

Return -1 on failure.

flatten

flatten()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

fromhex

fromhex(
    string, /
)

Create a bytes object from a string of hexadecimal numbers.

Spaces between two numbers are accepted. Example: bytes.fromhex('B9 01EF') -> b'\xb9\x01\xef'.

getfield

getfield()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

hex

hex()

B.hex() -> string

Create a string of hexadecimal numbers from a bytes object. Example: b'\xb9\x01\xef'.hex() -> 'b901ef'.

index

index()

B.index(sub[, start[, end]]) -> int

Return the lowest index in B where subsection sub is found, such that sub is contained within B[start,end]. Optional arguments start and end are interpreted as in slice notation.

Raises ValueError when the subsection is not found.

isalnum

isalnum()

B.isalnum() -> bool

Return True if all characters in B are alphanumeric and there is at least one character in B, False otherwise.

isalpha

isalpha()

B.isalpha() -> bool

Return True if all characters in B are alphabetic and there is at least one character in B, False otherwise.

isascii

isascii()

B.isascii() -> bool

Return True if B is empty or all characters in B are ASCII, False otherwise.

isdigit

isdigit()

B.isdigit() -> bool

Return True if all characters in B are digits and there is at least one character in B, False otherwise.

islower

islower()

B.islower() -> bool

Return True if all cased characters in B are lowercase and there is at least one cased character in B, False otherwise.

isspace

isspace()

B.isspace() -> bool

Return True if all characters in B are whitespace and there is at least one character in B, False otherwise.

istitle

istitle()

B.istitle() -> bool

Return True if B is a titlecased string and there is at least one character in B, i.e. uppercase characters may only follow uncased characters and lowercase characters only cased ones. Return False otherwise.

isupper

isupper()

B.isupper() -> bool

Return True if all cased characters in B are uppercase and there is at least one cased character in B, False otherwise.

item

item()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

itemset

itemset()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

join

join(
    iterable_of_bytes, /
)

Concatenate any number of bytes objects.

The bytes whose method is called is inserted in between each pair.

The result is returned as a new bytes object.

Example: b'.'.join([b'ab', b'pq', b'rs']) -> b'ab.pq.rs'.

ljust

ljust()

B.ljust(width[, fillchar]) -> copy of B

Return B left justified in a string of length width. Padding is done using the specified fill character (default is a space).

lower

lower()

B.lower() -> copy of B

Return a copy of B with all ASCII characters converted to lowercase.

lstrip

lstrip(
    bytes, /
)

Strip leading bytes contained in the argument.

If the argument is omitted or None, strip leading ASCII whitespace.

maketrans

maketrans(
    frm, to, /
)

Return a translation table useable for the bytes or bytearray translate method.

The returned table will be one where each byte in frm is mapped to the byte at the same position in to.

The bytes objects frm and to must be of the same length.

max

max()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

mean

mean()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

min

min()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

newbyteorder

newbyteorder()

newbyteorder(new_order='S')

Return a new dtype with a different byte order.

Changes are also made in all fields and sub-arrays of the data type.

The new_order code can be any from the following:

• 'S' - swap dtype from current to opposite endian

Parameters

new_order : str, optional Byte order to force; a value from the byte order specifications above. The default value ('S') results in swapping the current byte order. The code does a case-insensitive check on the first letter of new_order for the alternatives above. For example, any of 'B' or 'b' or 'biggish' are valid to specify big-endian.

Returns

new_dtype : dtype New dtype object with the given change to the byte order.

nonzero

nonzero()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

partition

partition(
    sep, /
)

Partition the bytes into three parts using the given separator.

This will search for the separator sep in the bytes. If the separator is found, returns a 3-tuple containing the part before the separator, the separator itself, and the part after it.

If the separator is not found, returns a 3-tuple containing the original bytes object and two empty bytes objects.

prod

prod()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

ptp

ptp()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

put

put()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

ravel

ravel()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

repeat

repeat()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

replace

replace(
    old, new, count, /
)

Return a copy with all occurrences of substring old replaced by new.

count Maximum number of occurrences to replace. -1 (the default value) means replace all occurrences.

If the optional argument count is given, only the first count occurrences are replaced.

reshape

reshape()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

resize

resize()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

rfind

rfind()

B.rfind(sub[, start[, end]]) -> int

Return the highest index in B where subsection sub is found, such that sub is contained within B[start,end]. Optional arguments start and end are interpreted as in slice notation.

Return -1 on failure.

rindex

rindex()

B.rindex(sub[, start[, end]]) -> int

Return the highest index in B where subsection sub is found, such that sub is contained within B[start,end]. Optional arguments start and end are interpreted as in slice notation.

Raise ValueError when the subsection is not found.

rjust

rjust()

B.rjust(width[, fillchar]) -> copy of B

Return B right justified in a string of length width. Padding is done using the specified fill character (default is a space)

round

round()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

rpartition

rpartition(
    sep, /
)

Partition the bytes into three parts using the given separator.

This will search for the separator sep in the bytes, starting at the end. If the separator is found, returns a 3-tuple containing the part before the separator, the separator itself, and the part after it.

If the separator is not found, returns a 3-tuple containing two empty bytes objects and the original bytes object.

rsplit

rsplit(
    sep=None, maxsplit=-1
)

Return a list of the sections in the bytes, using sep as the delimiter.

sep The delimiter according which to split the bytes. None (the default value) means split on ASCII whitespace characters (space, tab, return, newline, formfeed, vertical tab). maxsplit Maximum number of splits to do. -1 (the default value) means no limit.

Splitting is done starting at the end of the bytes and working to the front.

rstrip

rstrip(
    bytes, /
)

Strip trailing bytes contained in the argument.

If the argument is omitted or None, strip trailing ASCII whitespace.

searchsorted

searchsorted()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

setfield

setfield()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

setflags

setflags()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

sort

sort()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

split

split(
    sep=None, maxsplit=-1
)

Return a list of the sections in the bytes, using sep as the delimiter.

sep The delimiter according which to split the bytes. None (the default value) means split on ASCII whitespace characters (space, tab, return, newline, formfeed, vertical tab). maxsplit Maximum number of splits to do. -1 (the default value) means no limit.

splitlines

splitlines(
    keepends=False
)

Return a list of the lines in the bytes, breaking at line boundaries.

Line breaks are not included in the resulting list unless keepends is given and true.

squeeze

squeeze()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

startswith

startswith()

B.startswith(prefix[, start[, end]]) -> bool

Return True if B starts with the specified prefix, False otherwise. With optional start, test B beginning at that position. With optional end, stop comparing B at that position. prefix can also be a tuple of bytes to try.

std

std()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

strip

strip(
    bytes, /
)

Strip leading and trailing bytes contained in the argument.

If the argument is omitted or None, strip leading and trailing ASCII whitespace.

sum

sum()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

swapaxes

swapaxes()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

swapcase

swapcase()

B.swapcase() -> copy of B

Return a copy of B with uppercase ASCII characters converted to lowercase ASCII and vice versa.

take

take()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

title

title()

B.title() -> copy of B

Return a titlecased version of B, i.e. ASCII words start with uppercase characters, all remaining cased characters have lowercase.

tobytes

tobytes()

tofile

tofile()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

tolist

tolist()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

tostring

tostring()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

trace

trace()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

translate

translate(
    table, /, delete=b''
)

Return a copy with each character mapped by the given translation table.

table Translation table, which must be a bytes object of length 256.

All characters occurring in the optional argument delete are removed. The remaining characters are mapped through the given translation table.

transpose

transpose()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

upper

upper()

B.upper() -> copy of B

Return a copy of B with all ASCII characters converted to uppercase.

var

var()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

view

view()

Not implemented (virtual attribute)

Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API.

See also the corresponding attribute of the derived class of interest.

zfill

zfill()

B.zfill(width) -> copy of B

Pad a numeric string B with zeros on the left, to fill a field of the specified width. B is never truncated.

__abs__

__abs__()

abs(self)

__add__

__add__(
    value, /
)

Return self+value.

__and__

__and__(
    value, /
)

Return self&value.

__bool__

__bool__()

self != 0

__contains__

__contains__(
    key, /
)

Return key in self.

__eq__

__eq__(
    value, /
)

Return self==value.

__floordiv__

__floordiv__(
    value, /
)

Return self//value.

__ge__

__ge__(
    value, /
)

Return self>=value.

__getitem__

__getitem__(
    key, /
)

Return self[key].

__gt__

__gt__(
    value, /
)

Return self>value.

__invert__

__invert__()

~self

__iter__

__iter__()

Implement iter(self).

__le__

__le__(
    value, /
)

Return self<=value.

__len__

__len__()

Return len(self).

__lt__

__lt__(
    value, /
)

Return self<value.

__mod__

__mod__(
    value, /
)

Return self%value.

__mul__

__mul__(
    value, /
)

Return self*value.

__ne__

__ne__(
    value, /
)

Return self!=value.

__neg__

__neg__()

-self

__or__

__or__(
    value, /
)

Return self|value.

__pos__

__pos__()

+self

__pow__

__pow__(
    value, mod, /
)

Return pow(self, value, mod).

__radd__

__radd__(
    value, /
)

Return value+self.

__rand__

__rand__(
    value, /
)

Return value&self.

__rfloordiv__

__rfloordiv__(
    value, /
)

Return value//self.

__rmod__

__rmod__(
    value, /
)

Return value%self.

__rmul__

__rmul__(
    value, /
)

Return value*self.

__ror__

__ror__(
    value, /
)

Return value|self.

__rpow__

__rpow__(
    value, mod, /
)

Return pow(value, self, mod).

__rsub__

__rsub__(
    value, /
)

Return value-self.

__rtruediv__

__rtruediv__(
    value, /
)

Return value/self.

__rxor__

__rxor__(
    value, /
)

Return value^self.

__sub__

__sub__(
    value, /
)

Return self-value.

__truediv__

__truediv__(
    value, /
)

Return self/value.

__xor__

__xor__(
    value, /
)

Return self^value.