binary_repr(num, width=None)
For negative numbers, if width is not given, a minus sign is added to the front. If width is given, the two's complement of the number is returned, with respect to that width.
In a two's-complement system negative numbers are represented by the two's complement of the absolute value. This is the most common method of representing signed integers on computers . A N-bit two's-complement system can represent every integer in the range $-2^{N-1}$ to $+2^{N-1}-1$ .
binary_repr
is equivalent to using base_repr
with base 2, but about 25x faster.
Only an integer decimal number can be used.
The length of the returned string if :None:None:`num` is positive, or the length of the two's complement if :None:None:`num` is negative, provided that :None:None:`width` is at least a sufficient number of bits for :None:None:`num` to be represented in the designated form.
If the :None:None:`width` value is insufficient, it will be ignored, and :None:None:`num` will be returned in binary (:None:None:`num` > 0) or two's complement (:None:None:`num` < 0) form with its width equal to the minimum number of bits needed to represent the number in the designated form. This behavior is deprecated and will later raise an error.
Binary representation of :None:None:`num` or two's complement of :None:None:`num`.
Return the binary representation of the input number as a string.
base_repr
Return a string representation of a number in the given base system.
bin
Python's built-in binary representation generator of an integer.
>>> np.binary_repr(3) '11'
>>> np.binary_repr(-3) '-11'
>>> np.binary_repr(3, width=4) '0011'
The two's complement is returned when the input number is negative and width is specified:
>>> np.binary_repr(-3, width=3) '101'
>>> np.binary_repr(-3, width=5) '11101'See :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.ufunc.bitwise_or
dask.array.ufunc.bitwise_xor
numpy.ma.core.bitwise_and
numpy.ma.core.bitwise_xor
numpy.ma.core.bitwise_or
dask.array.ufunc.invert
numpy.base_repr
dask.array.ufunc.bitwise_and
numpy.binary_repr
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