tf.experimental.numpy.unicode_

str(object='') -> str

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

str(bytes_or_buffer[, encoding[, errors]]) -> str

Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the given encoding and error handler. Otherwise, returns the result of object.str() (if defined) or repr(object). encoding defaults to sys.getdefaultencoding(). errors defaults to 'strict'.

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()

Return a capitalized version of the string.

More specifically, make the first character have upper case and the rest lower case.

casefold

casefold()

Return a version of the string suitable for caseless comparisons.

center

center(
    width, fillchar, /
)

Return a centered 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()

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

Return the number of non-overlapping occurrences of substring sub in string S[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.

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.

encode

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

Encode the string using the codec registered for encoding.

encoding The encoding in which to encode the string. errors The error handling scheme to use for encoding errors. The default is 'strict' meaning that encoding errors raise a UnicodeEncodeError. Other possible values are 'ignore', 'replace' and 'xmlcharrefreplace' as well as any other name registered with codecs.register_error that can handle UnicodeEncodeErrors.

endswith

endswith()

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

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

expandtabs

expandtabs(
    tabsize=8
)

Return a copy 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()

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

Return the lowest index in S where substring sub is found, such that sub is contained within S[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.

format

format()

S.format(*args, **kwargs) -> str

Return a formatted version of S, using substitutions from args and kwargs. The substitutions are identified by braces ('{' and '}').

format_map

format_map()

S.format_map(mapping) -> str

Return a formatted version of S, using substitutions from mapping. The substitutions are identified by braces ('{' and '}').

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.

index

index()

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

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

Raises ValueError when the substring is not found.

isalnum

isalnum()

Return True if the string is an alpha-numeric string, False otherwise.

A string is alpha-numeric if all characters in the string are alpha-numeric and there is at least one character in the string.

isalpha

isalpha()

Return True if the string is an alphabetic string, False otherwise.

A string is alphabetic if all characters in the string are alphabetic and there is at least one character in the string.

isascii

isascii()

Return True if all characters in the string are ASCII, False otherwise.

ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.

isdecimal

isdecimal()

Return True if the string is a decimal string, False otherwise.

A string is a decimal string if all characters in the string are decimal and there is at least one character in the string.

isdigit

isdigit()

Return True if the string is a digit string, False otherwise.

A string is a digit string if all characters in the string are digits and there is at least one character in the string.

isidentifier

isidentifier()

Return True if the string is a valid Python identifier, False otherwise.

Use keyword.iskeyword() to test for reserved identifiers such as "def" and "class".

islower

islower()

Return True if the string is a lowercase string, False otherwise.

A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.

isnumeric

isnumeric()

Return True if the string is a numeric string, False otherwise.

A string is numeric if all characters in the string are numeric and there is at least one character in the string.

isprintable

isprintable()

Return True if the string is printable, False otherwise.

A string is printable if all of its characters are considered printable in repr() or if it is empty.

isspace

isspace()

Return True if the string is a whitespace string, False otherwise.

A string is whitespace if all characters in the string are whitespace and there is at least one character in the string.

istitle

istitle()

Return True if the string is a title-cased string, False otherwise.

In a title-cased string, upper- and title-case characters may only follow uncased characters and lowercase characters only cased ones.

isupper

isupper()

Return True if the string is an uppercase string, False otherwise.

A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.

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, /
)

Concatenate any number of strings.

The string whose method is called is inserted in between each given string. The result is returned as a new string.

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

ljust

ljust(
    width, fillchar, /
)

Return a left-justified string of length width.

Padding is done using the specified fill character (default is a space).

lower

lower()

Return a copy of the string converted to lowercase.

lstrip

lstrip(
    chars, /
)

Return a copy of the string with leading whitespace removed.

If chars is given and not None, remove characters in chars instead.

maketrans

maketrans(
    x, y, z, /
)

Return a translation table usable for str.translate().

If there is only one argument, it must be a dictionary mapping Unicode ordinals (integers) or characters to Unicode ordinals, strings or None. Character keys will be then converted to ordinals. If there are two arguments, they must be strings of equal length, and in the resulting dictionary, each character in x will be mapped to the character at the same position in y. If there is a third argument, it must be a string, whose characters will be mapped to None in the result.

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 string into three parts using the given separator.

This will search for the separator in the string. 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 string and two empty strings.

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()

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

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

Return -1 on failure.

rindex

rindex()

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

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

Raises ValueError when the substring is not found.

rjust

rjust(
    width, fillchar, /
)

Return a right-justified 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 string into three parts using the given separator.

This will search for the separator in the string, 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 strings and the original string.

rsplit

rsplit(
    sep=None, maxsplit=-1
)

Return a list of the words in the string, using sep as the delimiter string.

sep The delimiter according which to split the string. None (the default value) means split according to any whitespace, and discard empty strings from the result. maxsplit Maximum number of splits to do. -1 (the default value) means no limit.

Splits are done starting at the end of the string and working to the front.

rstrip

rstrip(
    chars, /
)

Return a copy of the string with trailing whitespace removed.

If chars is given and not None, remove characters in chars instead.

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 words in the string, using sep as the delimiter string.

sep The delimiter according which to split the string. None (the default value) means split according to any whitespace, and discard empty strings from the result. 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 string, 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()

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

Return True if S starts with the specified prefix, False otherwise. With optional start, test S beginning at that position. With optional end, stop comparing S at that position. prefix can also be a tuple of strings 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(
    chars, /
)

Return a copy of the string with leading and trailing whitespace remove.

If chars is given and not None, remove characters in chars instead.

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()

Convert uppercase characters to lowercase and lowercase characters to uppercase.

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()

Return a version of the string where each word is titlecased.

More specifically, words start with uppercased characters and all remaining cased characters have lower case.

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, /
)

Replace each character in the string using the given translation table.

table Translation table, which must be a mapping of Unicode ordinals to Unicode ordinals, strings, or None.

The table must implement lookup/indexing via getitem, for instance a dictionary or list. If this operation raises LookupError, the character is left untouched. Characters mapped to None are deleted.

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()

Return a copy of the string 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(
    width, /
)

Pad a numeric string with zeros on the left, to fill a field of the given width.

The string 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.

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