# [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.

## 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.