Resolving ValueError in Python: Managing Unexpected Data Types

Fixing ValueError in Python with Complete Guide

In this complete guide, I will discuss your understanding ValueError in Python and how you can fix such. Also, I will different reasons due to why it arises with a solution. Every want to write a code that is free from bugs but you should have to keep this point in your mind. Without understanding errors you cannot become a good coder.

Managing Unexpected Data Types

You know that Python programming is the easiest way to develop any application or software. But there may be some exceptions you face, Don’t worry everyone shows some error when you execute code.

There are different strategies you have to follow to overcome such issues. I am a Python developer, who faces different exceptions but after searching and understanding, why they arise, I can solve them.

Don’t worry! you will get a solution for ValueError

If you are a developer you will face errors and bugs but don’t worry! you will solve it. Different types of exceptions may arise in your code while executing files. There are different reasons for different exceptions when arise. But I have to discount about value errors in Python.

If you want to clean your code or want to errors in source code then read it completely from start to end, you will get its solutions and more knowledge.

The reality of ValueError, when it arises?

What does ValueErorr? It means that when you work on function programming, you know functions take optional parameters, those parameters have their specific data type. After the creation function, we need to call that function, just outside the body of the function and call that function, writing the name of the function.

When you provide an optional parameter inside function (), at the time of calling you have to send that parameter value. Now you have to care of one point, here. You have to check the data type of the parameter you defined inside () and the data type of value you are sending from the function calling point.

If the parameter inside () has an int data type and the value you are sending from the calling point is a string. In that situation, you will get a ValueError.

ValueError means that it is an issue with your provided value, you have to check the value you are providing to function for the process.

Code Example:

Reasons Why it arises in Python?

Before this heading, I shared an explained example to share knowledge of ValueError in Python. Sometimes it occurs due to another reason.

Reasons Why it arises in Python

Different reasons I shared with you, each reason has its solution. Just read it carefully from start to end.

1. Conversion Errors:

You know that, we used the int method to convert other data types like float into integer. In this example, I want to convert a string into an integer which is not possible. The int method requires a number data type that will convert into an integer.



If you want to solve such an issue, you have to check what data type you entered in int (). And sometimes you provide numbers with double quotations like “123”, in this case, you also get such an error. So you need to provide a number without questions if you want to convert it into an integer.

2. Invalid Function Parameters:

in the case when you provide parameter value to function with correct data type but still you get the same error. The reason is that the value you provide is the correct data type but at that value (index) there is no option or no element.

Try to understand this example, in which I want to try an element that has 4 index numbers, but there is no such element.



There are different solutions for this issue, you can use a decision-making structure to return elements based on condition. You have to make condition index number should not be less than or greater than the original index number of the data.

3. Parsing Errors:

You can get such an error when you provide data in invalid form. For example, when you want to parse JSON data that is in incorrect form, you will get such an error.



There are different exceptions you can arrange with the try-except block. The code you write you have to include in a try block, and your code will be checked, and if the code works fine you will get the expected output, otherwise except the block will learn, pointing to an error.

TIPS to Follow to Avoid Such Error

You know that Instructor Faisal Zmair has much experience in teaching and understanding Python code. He taught different colleges and other institutes teaching programming.

Serial Number Tip Will Improve Your Code
01 Check User Input Data Type Yes
02 Explicit Type Checking Yes
03 Specific Conversion Functions Yes

Now you have to follow some tips or guides to overcome such errors. If you read these tips or best practices you will get your code with error free and it will become easy for you to debug.

1. Check User Input Data type:

It is very necessary to sure which type of data you are getting from the user. So we get data from the user and process that data. Without knowing which data we are getting from the user, it may cause errors.

You need to carefully check that what is the data type of user data and what is the data type of code, that we are using to process that data.

2. Explicit Type Checking:

When you want to convert a data type into another data type you have to check first explicitly their data types. For example, when you want to convert float into int. float data it should be without quotations and in number form.

If the float data type is in double or single quotation then you will get an error while converting into an integer. Explicitly means that you have to check with your eyes and brain their data types carefully.

3. Specific Conversion Functions:

If you want to make a source code error-free you have to create a separate function to do that. The function name should be like int_to_float which will remind you that it is a convertor for int to float. This is the example, you can use more functions for conversion purposes from one data type to another data type.

Do you want more guides and tips? Please mention your request in below comment box below, and I will respond to you!

Video Help: Watch Video on ValueError in Python

Here is a Video in which it is discussed how you can solve this issue in your Python source code.

Your feedback on Video

You know that we have discussed ValueError in Python in written form with examples. It will be for everyone to understand properly just copy the examples and paste them into the code editor to check the output.

Besides this, we added video tutorials in which the instructor explains ValueError in Python with proper examples. Now question is, what do you get from a video? Have you understood the value error concept in Python or not? Please tell me your answer in a comment.


In this post, I discuss with you guys about ValueError in Python, and how you can avoid this error. I mentioned different things like proper guides and tips that will save your code from different errors. Be happy and enjoy coding!

Have you fixed your error? Please give me a Comment!


What defines the reality of a ValueError in Python?

When you give an unexpected or irrelevant value that does not match this data type with the function or variable in which you are storing that, you will get a ValueError in Python.

What tips or best practices should be followed to prevent the occurrence of ValueError?

There are different good practices you have to follow to prevent such errors, for example, to check user input data type at the run time, you need to check the type of data explicitly, and also give attention to manually function name that is created specifically for a specific function, for example, you create a function that converts int to float, etc.

Can I share my code with you to debug?

Yes, if you need help you can share your code in below comment section below describing what error you are facing, we will respond to you in a comment free of cost. It will be beneficial for everyone who reads your question and answer.

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