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
'<', '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 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.