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NumPy operators and their corresponding NumPy universal functions (ufuncs)

NumPy operators and their corresponding NumPy universal functions (ufuncs)

This table was compiled from the 3 tables shown on pages 53, 72, 75 of the book Python Data Science Handbook by Jake VanderPlas. I put it here just for my own reference.

Arithmetic Operator

Equivalent ufunc

Description

+

np.add

Addition (e.g., 1 + 1 = 2)

-

np.subtract

Subtraction (e.g., 3 - 2 = 1)

-

np.negative

Unary negation (e.g., -2)

*

np.multiply

Multiplication (e.g., 2 * 3 = 6)

/

np.divide

Division (e.g., 3 / 2 = 1.5)

//

np.floor_divide

Floor division (e.g., 3 // 2 = 1)

**

np.power

Exponentiation (e.g., 2 ** 3 = 8)

%

np.mod

Modulus/remainder (e.g., 9 % 4 = 1)

 

 

 

Comparison Operator

Equivalent ufunc

 

==

np.equal

 

!=

np.not_equal

 

< 

np.less

 

<=

np.less_equal

 

> 

np.greater

 

>=

np.greater_equal

 

 

 

 

Logical Operator

Equivalent ufunc

See also

&

np.bitwise_and

np.logical_and

|

np.bitwise_or

np.logical_or

^

np.bitwise_xor

np.logical_xor

~

np.bitwise_not

np.logical_not


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