Introduction to Python Frozenset The Python frozenset() function creates an immutable frozenset object from the specified iterable’s elements. An immutable version of a Python set object is a frozen set. While parts of a set can be changed at any …
Introduction to NumPy binary_repr The numpy.binary_repr() function is use to express the input number’s binary form as a string. If no width is specified for negative integers, a minus sign is insert at the front. If width is specified, the …
Introduction to NumPy unpackbits numpy.unpackbits() is another binary operations function in NumPy. It converts the elements of an uint8 array to a binary-valued output array. Syntax: numpy.unpackbits(arr, axis=None, count=None, bitorder=’big’) Parameters: arr: [array_like ndarray] An uint8 type array whose elements should …
Introduction to NumPy packbits In NumPy, numpy.packbits() is another function for doing binary operations. In an uint8 array, it is use to pack the items of a binary-valued array into bits. By introducing zero bits at the end, the result …
In this article, we will discuss about NumPy Shift Functions that are numpy.left_shift() and numpy.right_shift() with some code snippets. Introduction to NumPy Shift Functions NumPy left_shift To move the bits of an integer to the left, use the numpy.left_shift() function. …
Introduction to NumPy invert The numpy.invert() function is used to compute the element-wise bit-wise inversion of an array. It computes the bitwise NOT of the underlying binary representation of the integers in the input arrays. The two’s complement is returned …
Introduction to NumPy bitwise_xor The bitwise XOR of two array elements is compute using the numpy.bitwise_xor() function. The bit-wise XOR of the underlying binary representation of the numbers in the input arrays is compute by this function. Syntax: numpy.bitwise_xor(arr1, arr2, …
Introduction to NumPy bitwise_or The bitwise OR of two array elements are computed using the numpy.bitwise_or() function. The bit-wise OR of the underlying binary representation of the numbers in the input arrays are computed by this function. Syntax: numpy.bitwise_or(arr1, arr2, …
Introduction to NumPy bitwise_and The bitwise AND of two array elements are compute using the numpy.bitwise_and() function. The bit-wise AND of the underlying binary representation of the numbers in the input arrays. Are compute by this function. Syntax: numpy.bitwise_and(arr1, arr2, …
Introduction to NumPy rot90 The numpy.rot90() function performs rotation of an array by 90 degrees in the plane specified by axis(0 or 1). Syntax: numpy.rot90(array, k = 1, axes = (0, 1)) Parameters: array: [array_like] i.e. array having two or …