tf.experimental.numpy.string_

bytes(iterable_of_ints) -> bytes

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

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

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

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

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

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

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

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

B.capitalize() -> copy of B

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

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

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

B.hex() -> string

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

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

B.isalnum() -> bool

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

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

B.isascii() -> bool

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

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

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

B.isspace() -> bool

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

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

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

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

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

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

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

B.lower() -> copy of B

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

lstrip

Strip leading bytes contained in the argument.

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

maketrans

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

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

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

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(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

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 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Strip trailing bytes contained in the argument.

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

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

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

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

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

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

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

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

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

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 leading and trailing bytes contained in the argument.

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

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

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

B.swapcase() -> copy of B

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

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

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

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

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

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

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

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

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

B.upper() -> copy of B

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

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

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

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(self)

__add__

Return self+value.

__and__

Return self&value.

__bool__

self != 0

__contains__

Return key in self.

__eq__

Return self==value.

__floordiv__

Return self//value.

__ge__

Return self>=value.

__getitem__

Return self[key].

__gt__

Return self>value.

__invert__

~self

__iter__

Implement iter(self).

__le__

Return self<=value.

__len__

Return len(self).

__lt__

Return self<value.

__mod__

Return self%value.

__mul__

Return self*value.

__ne__

Return self!=value.

__neg__

-self

__or__

Return self|value.

__pos__

+self

__pow__

Return pow(self, value, mod).

__radd__

Return value+self.

__rand__

Return value&self.

__rfloordiv__

Return value//self.

__rmod__

Return value%self.

__rmul__

Return value*self.

__ror__

Return value|self.

__rpow__

Return pow(value, self, mod).

__rsub__

Return value-self.

__rtruediv__

Return value/self.

__rxor__

Return value^self.

__sub__

Return self-value.

__truediv__

Return self/value.

__xor__

Return self^value.

Class Variables
T
base
data
dtype
flags
flat
imag
itemsize
nbytes
ndim
real
shape
size
strides

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/experimental/numpy/string_