What is the bitwise_or() method in NumPy?
Overview
In NumPy, the bitwise_or() method is used to calculate bitwise OR between two input arrays, element-wise. It performs bitwise logical OR of underlying binary representation.
Syntax
numpy.bitwise_or(arr1,arr2,out=None,where=True,**kwargs)
Parameters
It takes the following argument values.
arr1: This is an integer and it handles boolean type arrays.arr2: This is an integer and it handles boolean type arrays.out: This is a memory location in which the result will be stored. It will be of the same dimension asarr1orarr2. Its default value isNone. If its value isNone, a new array of the same dimensions will be initialised.
where: This is the value to replace theufuncresult when the condition returnsTrue. Otherwise, theoutarray will retain its original output values. Its default value isTrue.
**kwargs: These are additional arguments.
Return value
if arr1 and arr2 are two scalars, it returns a scalar value. Otherwise, it returns Ndarray type objects only.
Example
In this code, we discuss numpy.bitwise_or() with multiple scenarios: performing OR operation between integers, Python Lists, and NumPy arrays.
# importing numpy libraryimport numpy as np# performing logical OR between 16, 18print("16 OR 18:", end=" ")print(np.bitwise_or(16, 18))# logical OR between a Python list [3,13] and 12print("[3,13] OR 12:", end=" ")print(np.bitwise_or([3,13], 12))# logical OR between two lists of same sizeprint("[9,7] OR [8,35]:", end=" ")print(np.bitwise_or([9,7], [8,35]))# performing logical OR between two numpy arraysprint("np.array([2,7,255]) OR np.array([6,12,18]):", end=" ")print(np.bitwise_or(np.array([2,7,255]), np.array([6,12,18])))
Explanation
- Line 4–5: We perform a bitwise OR between
16and18, it will return18.
- Lines 7–8: We perform a bitwise OR between a list,
[3,13]and12. Hence, it will return a list,[15,12]. - Line 10–11: It returns a bitwise OR as a list,
[9 39], between two lists[9,7]and[8,35].
- Line 13–14: It returns a bitwise OR as a NumPy array,
[6 15 255], between two NumPy arrays,np.array([2,7,255])andnp.array([6,12,18].
Universal function implementation
NumPy also supports universal functions that implement C or Core Python operator, |.
# importing numpy libraryimport numpy as np# creating two numpy arraysx1 = np.array([5, 9, 128])x2 = np.array([10, 30, 255])# performing logical OR using conventional | operatorprint(x1 | x2)
- Line 4: We create a NumPy array,
x1, containing[5, 9, 128].
- Line 5: We create a NumPy array,
x2, containing[10, 30, 255]. - Line 7: We perform a logical OR by using a conventional
|operator.
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