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