Cannot index by location index with a non-integer key |FIXED

It is inevitable to run into errors like typeerror: cannot index by location index with a non-integer key when working with Python.

This error occurs when we attempt to pass an element in a collection using a non-integer value as the index.

To avoid this error, when accessing elements in a list or array, you should not use non-integer values.

In this article, we will learn how to fix the typeerror message mentioned above.

Aside from that, you can also learn here what typeerror and Python are and some tips to prevent encountering typeerrors.

So without further ado, let us learn more about this error.

What is typeerror: cannot index by location index with a non-integer key?

The typeerror: cannot index by location index with a non-integer key, as mentioned above, is an error message in Python.

This error is usually encountered by programmers or developers working on a Python project.

Again, as mentioned above, this error occurs when we attempt to pass an element in a collection using a non-integer value as the index.

The question is: how do we solve this error?

What should we do to correct this mistake and be free from it?

Before we move on to the solution, here is an example code that causes this error:

s_list = ['pink dress', 'black dress', 'blue dress']
index = '1'
print(s_list[index])

Error:

Traceback (most recent call last):
  File "C:\Users\path\spath\sProject\main.py", line 3, in <module>
    print(s_list[index])
          ~~~~~~^^^^^^^
TypeError: list indices must be integers or slices, not str

Now, without prolonging the discussion, here is a guide that can help you solve this error.

Typeerror: cannot index by location index with a non-integer key – SOLUTION

Time needed: 2 minutes

Here are some steps you can perform to fix typeerror: cannot index by location index with a non-integer key.

  1. Verify the index’s data type.


    The first step is to verify if the data type of the index is an integer before using it.

    If it is not an integer, convert it.

  2. Convert the index into an integer.


    Use the int() function to convert the non-integer value to an integer.

    For example:

    index = int(s_float_index)

  3. Utilize integers as indices.


    After converting the index into an integer, you can now use it as an index to pass elements in a collection or array.

Example code:

s_list = ['pink dress', 'black dress', 'blue dress']
index = 1
n_index = int(index)
print(s_list[n_index])

Output:

black dress

Other ways to fix this error in various circumstances

Here are the other ways of fixing the typeerror: cannot index by location index with a non-integer key:

1. Pandas DataFrame

Use the loc method to access a row.

This can fix the error as the loc method accepts integer or boolean indexes.

Example code:

import pandas as pd

df = pd.DataFrame({'Dress': ['Pink', 'Black', 'Blue'], 'Price': [500, 750, 400]})
row = df.loc[0]
row = df[df['Dress'] == 'Pink']
print(row)

Output:

   Dress   Price
0  Pink    500

2. Numpy ndarray

Access elements using integer or boolean indexes.

Example code:

import numpy as np

s_arr = np.array([[10, 20, 30], [40, 50, 60], [70, 80, 90]])
s_element = s_arr[0, 1]
row = s_arr[s_arr[:, 0] > 3, :]
print(row)

Output:

[[10 20 30]
 [40 50 60]
 [70 80 90]]

Tips to avoid getting Typeerrors

The following are some tips to avoid getting type errors in Python.

  • Avoid using the built-in data types in Python in the wrong way.

    → Be sure that your variables and data structures are using the correct data types.
  • Always check or confirm the types of your variables.

    → To check the types of your variables, use the type() function.

    This will allow you to confirm if the type of your variable is appropriate.
  • Be clear and concise when writing code.

    → Being clear and concise when writing your code can help you avoid typeerrors.

    It is because it will become easier to understand.
  • Handle the error by using try-except blocks.

    → Try using the try-except blocks to catch and handle any typeerror.
  • Use the built-in functions of Python if needed.

    → Use built-in functions such as int()str(), etc. if you need to convert a variable to a different type.

FAQs

What is TypeError?


Typeerror is an error in Python that arises when an operation or function is applied to a value of an improper type.

This error indicates that the data type of an object isn’t compatible with the operation or function that is being used.

What is Python?


Python is one of the most popular programming languages.

It is used for developing a wide range of applications.

In addition, Python is a high-level programming language that is used by most developers due to its flexibility.

Frequently Asked Questions

What is Python TypeError and what causes it?

TypeError is raised when an operation is applied to an object of the wrong type. Common patterns: calling a non-callable object, adding incompatible types (str + int), passing the wrong number of arguments, or accessing attributes on a NoneType. Each TypeError message names the operation and expected vs actual types, the fix is almost always to convert types explicitly (int(), str()) or fix the wrong variable assignment.

How do I quickly debug a Python TypeError?

Three steps: (1) Read the full error message, it names the exact operation and types involved. (2) Print the type of every variable in that line: print(type(var1), type(var2)). (3) Check what the function expected vs what you passed. Most TypeError fixes are 1-line type casts or fixing a variable that became None unexpectedly.

Should I catch TypeError or let it propagate?

For internal code, let TypeError propagate, it’s almost always a real bug (wrong type passed). For boundary code (parsing user input, third-party API responses), catch TypeError + ValueError together: try: parsed = int(value) except (TypeError, ValueError): parsed = 0. Catching internal TypeErrors hides bugs.

How do I prevent TypeError in production?

Three patterns: (1) Use type hints (def add(a: int, b: int) -> int) and check with mypy / pyright in CI. (2) Validate inputs at boundaries (Pydantic for FastAPI, DRF serializers for Django). (3) Default values that match expected types (return 0 not None for numeric functions). Static typing catches 80% of TypeErrors before runtime.

Where can I find more TypeError fixes?

Browse the TypeError reference hub for 220+ specific TypeError fixes. For broader Python debugging, see the Python Tutorial hub. For related error types, see ValueError and AttributeError guides.

Conclusion

In conclusion, “typeerror: cannot index by location index with a non-integer key” is an inevitable error message in Python.

It can be easily solved by making sure you are using an integer value as an index to pass elements in a collection or array.

That is all for this article, IT source coders!

We hope you have learned a lot from this. Have fun coding.

Thank you for reading! 😊

Elijah Galero

Programmer & Technical Writer at PIES IT Solution

Elijah Galero is a programmer and writer at PIES IT Solution, author of 175+ tutorials at itsourcecode.com. Specializes in Python error debugging (AttributeError, TypeError, ModuleNotFoundError), Python programming tutorials, and Microsoft Excel how-to guides for BSIT students and productivity learners.

Expertise: Python · Python Errors · Python AttributeError · Python TypeError · ModuleNotFoundError · MS Excel · MS PowerPoint  · View all posts by Elijah Galero →