# Tag Archives: Python numpy-Logic Functions

Logical operations are used to find the logical relation between two arrays or lists or variables. We can perform logical operations using NumPy between two… Read More
Many times we have non-numeric values in NumPy array. These values need to be removed, so that array will be free from all these unnecessary… Read More
numpy.frompyfunc(func, nin, nout) function allows to create an arbitrary Python function as Numpy ufunc (universal function). Parameters: func: [A python function object ] An arbitrary python… Read More
numpy.allclose() function is used to find if two arrays are element-wise equal within a tolerance. The tolerance values are positive, typically very small numbers. The… Read More
numpy.logical_and(arr1, arr2, out=None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘logical_and’) : This is a logical function and it… Read More
numpy.logical_or(arr1, arr2, out=None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘logical_or’) : This is a logical function and it… Read More
numpy.isfortran(array) : This is a logical function that checks whether array is Fortran contiguous or not. Order : [C-contiguous, F-contiguous, A-contiguous; optional] C-contiguous order in… Read More
numpy.isscalar(num) : This is a logical function that returns true if the type of input num is scalar. Parameters : num : Input argument of… Read More
numpy.iscomplexobj(array) : This logical function helps to checks for the complex type of an array or array of a complex number. Even if imaginary part… Read More
numpy.isrealobj(array) : This logical function helps to checks if the array has no complex type or array has a complex number. Even if imaginary part… Read More
numpy.equal(arr1, arr2, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘not_equal’) : This logical function checks for… Read More
numpy.array_equiv(arr1, arr2) : This logical function that checks if two arrays have the same elements and shape consistent. Shape consistent means either they are having… Read More
numpy.array_equal(arr1, arr2) : This logical function that checks if two arrays have the same shape and elements. Parameters : arr1 : [array_like]Input array or object… Read More
numpy.logical_xor(arr1, arr2, out=None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘logical_xor’) : This is a logical function and it… Read More
numpy.logical_not(arr, out=None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘logical_not’) : This is a logical function that computes the… Read More