Apply the ufunc outer() function to all pairs. The numpy.ufunc has functions that operate element by element on whole arrays. The ufuncs are written in C (for speed) and linked into Python with NumPy's ufunc facility. A universal function (or ufunc for short) is a function that operates on ndarrays ... Read More

To OR a given scalar value with every element of a masked array, use the ma.MaskedArray.__ror__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an ... Read More

To perform unbuffered in place operation on operand for elements specified by 'indices, use the numpy.ufunc.at() method in Python Numpy.The numpy.ufunc has functions that operate element by element on whole arrays. The ufuncs are written in C (for speed) and linked into Python with NumPy’s ufunc facility. A universal function ... Read More

To OR every element of a masked array by a given scalar value, use the ma.MaskedArray.__or__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an ... Read More

To Accumulate the result of applying the operator to all elements, use the numpy.accumulate() method in Python Numpy. For a multi-dimensional array, accumulate is applied along only one axis. We will apply along axis 0.The numpy.ufunc has functions that operate element by element on whole arrays. The ufuncs are written ... Read More

To AND a given scalar value with every element of a masked array, use the ma.MaskedArray.__rand__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an ... Read More

To AND every element of a masked array by a given scalar value, use the ma.MaskedArray.__and__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an ... Read More

Right Shift a given scalar value by every element of a masked array, use the ma.MaskedArray.__rrshift__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an ... Read More

Right Shift every element of a masked array by a given scalar value, use the ma.MaskedArray.__rshift__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an ... Read More

Left Shift a given scalar value by every element of a masked array, use the ma.MaskedArray.__rlshift__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an ... Read More