close

[Solved] numpy “TypeError: ufunc ‘bitwise_and’ not supported for the input types” when using a dynamically created boolean mask

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error numpy “TypeError: ufunc ‘bitwise_and’ not supported for the input types” when using a dynamically created boolean mask in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How numpy “TypeError: ufunc ‘bitwise_and’ not supported for the input types” when using a dynamically created boolean mask Error Occurs?

Today I get the following error numpy “TypeError: ufunc ‘bitwise_and’ not supported for the input types” when using a dynamically created boolean mask in python.

How To Solve numpy “TypeError: ufunc ‘bitwise_and’ not supported for the input types” when using a dynamically created boolean mask Error ?

  1. How To Solve numpy “TypeError: ufunc 'bitwise_and' not supported for the input types” when using a dynamically created boolean mask Error ?

    To Solve numpy “TypeError: ufunc 'bitwise_and' not supported for the input types” when using a dynamically created boolean mask Error You get the error because bitwise and is not defined for a floating point scalar and a boolean array.

  2. numpy “TypeError: ufunc 'bitwise_and' not supported for the input types” when using a dynamically created boolean mask

    To Solve numpy “TypeError: ufunc 'bitwise_and' not supported for the input types” when using a dynamically created boolean mask Error You get the error because bitwise and is not defined for a floating point scalar and a boolean array.

Solution 1

& has higher precedence than ==, so the expression

a == 2.0 & b

is the same as

a == (2.0 & b)

You get the error because bitwise and is not defined for a floating point scalar and a boolean array.

Add parentheses to get what you expected:

(a == 2.0) & b

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

Also, Read