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
'<', 'L'
- little endian'>', 'B'
- big endian'=', 'N'
- native order'|', 'I'
- ignore (no change to byte order)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.