Typeerror a bytes like object is required not str error occurs when we compare any ‘str’ object with the ‘byte’ type object. The best way to fix this typeError is to convert them into ‘str’ before comparison or any other operation.
The clear reason is the compatibility of str objects with Byte type object. But let’s understand it with some coding examples.
a=("Hi This is byte encoded").encode()
b="Hi"
if b in a:
print("Sub String")
Here We have encoded the string a and b is not encoded. Now when we use the “in” operator a is a byte type object. We get the same error.
See ! this error is due to object compatibility. So let’s convert “str” object to byte. There are many ways to achieve it.
In Continuation with the above example. Let’s encode the str object to Byte before the “in” operator.
a=("Hi This is byte encoded").encode()
b=("Hi").encode()
if b in a:
print("Sub String")
Now run the above code.
Quite Simple. As earlier, we have converted str to byte. Here we are doing the opposite. Here we will decode the Byte to str.
a=("Hi This is byte encoded").encode()
b=("Hi")
if b in a.decode():
print("Sub String")
Firstly, Let’s see the code. Here we can typecast the Byte type object to str.
a=("Hi This is byte encoded").encode()
b=("Hi")
if b in str(a):
print("Sub String")
In a similar way above, We can also convert str objects into a Byte objects. Please refer to the below code.
a=("Hi This is byte encoded").encode()
b=bytes("Hi","utf-8")
if b in a:
print("Sub String")
If we want to convert a string ( str) object to a byte, we can do it easily by adding b”string” at the time of declaration. it is equivalent to encode() function.
Actually, the above error is generic and can replicate with multiple modules like subprocess, JSON, pickle, dict, etc. The fix would be the same in every platform and module if the root cause is the same for the similar Typeerrors. Well, I think this article is helpful in resolving the bug.
If you want more details on byte object to str or vice versa conversion. Please comment below.
Thanks
Data Science Learner Team