Characteristics of NumPy ufuncs
- These functions operate on ndarray (N-dimensional array) i.e. NumPy’s array class.
- It performs fast element-wise array operations.
- It supports various features like array broadcasting, type casting, etc.
- Numpy universal functions are objects that belong to numpy.ufunc class.
- Python functions can also be created as a universal function using the frompyfunc library function.
- Some ufuncs are called automatically when the corresponding arithmetic operator is used on arrays. For example, when the addition of two arrays is performed element-wise using the ‘+’ operator then np.add() is called internally.
NumPy ufuncs | Universal functions
NumPy Universal functions (ufuncs in short) are simple mathematical functions that operate on ndarray (N-dimensional array) in an element-wise fashion.
It supports array broadcasting, type casting, and several other standard features. NumPy provides various universal functions like standard trigonometric functions, functions for arithmetic operations, handling complex numbers, statistical functions, etc.
Contact Us