Resolving the Python Error: invalid literal for int() with base 10

invalid literal for int() with base 10

Even if you are a novice programmer or a full-time developer, errors will haunt you for your life. Hence, it would help if you made peace with it. Python is considered one of the most preferred programming languages due to its various aspects. As many are relying on Python to automate tasks or use it with database and query management, the possibility of an error occurring is high.

This can be due to underlying bugs, errors in programming, or a code whose logic makes no sense. Whatever the reason is, codes will also be there to haunt you. If you are facing a value error type with regards to an integer with base 10, then you are in the right place. 

When does This Invalid Literal Error Occur in Python? 

The invalid literal error occurs in multiple coding scenarios. However, these are the two possibilities where the invalid literal error occurs relatively often. 

1) Data Type Conflicts 

As the name suggests, conflict occurs when two different data type functions are conflicting with each other. For instance, a value error will happen if you take input with a string value and use it as an integer. This type of error can be quickly resolved once you understand how to fix it with the proper steps. 

2) Invalid Conversion Functions 

In this scenario, you have likely complicated things on your own. For instance, you take an input from a user and pass it through an integer while using it for conditional statements. Suppose you give a float as an input, an invalid conversion takes place, and you get a value error. 

Deciphering the Error Message in two Parts 

So now you know about the scenario where the error occurs, it is time for you to analyze it. Analyzing the error on your own is quite essential; understanding how to decipher it will help you become independent. 

This is because, as a developer, you will encounter multiple errors, and this skill will help you face every situation head-on without any issues. Hence, you become self-sufficient. You can become a pro in deciphering the error by first bifurcating the error message into parts. The example about the value error related to invalid literal for integer is a great example. 

1) Type of Error Returned in Python 

Understanding the type of error is quite essential as it will help you narrow down your approach for a resolution. For instance, if it is a syntax error, you know that by correcting the syntax, your error will get resolved. In this case, you are getting a value error which refers to an error in using the data type. Hence, it will help you think about it accurately. 

2) The Message Associated with The Error Type 

The second half of the error message states the error. This is often vague; however, in multiple cases, you will accurately pinpoint the root cause of the error you are facing. For instance, the next part of the value error is about invalid literal with base 10 integers. Hence, you know that issue is related to the integer data type and how data is handled within the placeholder returning the error. 

This bifurcation of the error message makes it easier to understand the error that you are facing. It allows you to pinpoint accurately or narrow down your approach to resolving the error. 

How to Fix This Value Error? 

Well, value errors can be fixed easily without any issues. You can quickly improve your value error by addressing the traceback error line. You will realize there is a conflict with the data type used in the conditional statements. Here are some examples to help you understand the situation and the solution to the error occurring. 

1) Code That was Failing to Compile 

Let’s take an example of the code that returns an error when run. This will allow you to give a brief insight into the programming environment where you get a value error. 

Chocolate = input(“Enter how many chocolates you have: “)

Chocolate_as_integer = int(Chocolate)

if Chocolate_as_integert > 10:

print(“You can share chocolates.”)


print(“Keep it to yourself!”)

In this python code example, if a user sends an input of 8.3, the traceback error occurs. You will be returned with a value error message stating invalid literal for int() with base 10. 

2) Example of the Solution Offered 

Chocolate = input(“Enter how many chocolates you have: “)

Chocolate_as_integer = int(float(Chocolate))

if Chocolate_as_integert > 10:

print(“You can share chocolates.”)


print(“Keep it to yourself!”)

Now when the value of 8.4 is passed, the code will successfully run as there is no conflict involved. The float value is converted into an integer, and the conditions are run, giving you an output. 

3) Key Takeaways from the Code 

When the float data type was used as an input in the code, the traceback error occurred when the float value entered was contradicting the integer. The fix was easy as the input was then converted from integer to floating. The end result gives a solution where the value error is rectified. This is how the code is fixed, and you will not face any other issues. Hence, these takeaways will allow you to code freely with an ideal experience. It is essential to use this in accordance with your specific scenario.

4) Resolving The Error with a General Aspect 

You need first to identify the line of the traceback error. Then the next step is to identify the root cause and pinpoint the problematic areas. You can test the code if it has multiple inputs with different scenarios. Hence, you get a broad spectrum of information that can be used to resolve the error message. Value errors are not majorly specific to data types. Therefore, the easy fix is to address the problematic data type and add the proper conversion functions. 

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