AttributeError: Can’t get attribute ‘new_block’ on module ‘pandas.core.internals.blocks

Sometimes when working with Pandas, you might come across AttributeError: Can’t get attribute ‘new_block’ on <module ‘pandas.core.internals.blocks’> error. There can be many reasons for getting this error. One of the main reasons could be you have saved the model using pickle with a different version of Pandas and now opening the saved model using pickle with a different version of the Pandas module. In this short article, we will discuss how we can solve AttributeError: Can’t get attribute ‘new_block’ on error using various methods. We will also list all the possible reasons for getting this error.

AttributeError: Can’t get attribute ‘new_block’ on <module ‘pandas.core.internals.blocks’>

One of the reasons for getting this error is to save the model which has used a different version of the Pandas module and then load the same module with a different Version. The error might be very frustrating and seems to be complex, but it is very easy to solve.

Before going to the solution, let us list all the possible reasons for getting this error:

1. Typo: It’s possible that you misspelled the attribute name, or that you’re using the wrong attribute name altogether. Double-check your code to make sure you’re using the correct attribute name.
2. Version mismatch: It’s possible that the version of the pandas library you’re using doesn’t include the new_block attribute. Check the version of pandas you’re using and compare it to the version which new_block was added.
3. Import error: It’s possible that you’re not importing the pandas library correctly, or that there’s an issue with your environment. Make sure that you’re importing pandas properly and that your environment is set up correctly.
4. Attribute not defined: It’s possible that the new_block attribute was defined in a different module or package, and it’s not available in the pandas.core.internals.blocks module. Check the documentation for pandas to see if the attribute was defined in a different module or package.
5. Circular import: It’s possible that there’s a circular import issue in your code, which is preventing the new_block attribute from being accessed. Check your code for circular imports and resolve them if necessary.
6. Corrupted installation: It’s possible that your installation of pandas is corrupted, causing the new_block attribute to be inaccessible. Try reinstalling pandas and see if that resolves the issue.
7. Name conflict: It’s possible that there’s a name conflict in your code, where a different attribute or variable is using the same name as new_block. Check your code for any potential name conflicts and resolve them if necessary.
8. Other errors: The AttributeError can also be raised if there are other issues with the code, such as incorrect arguments, invalid syntax, or incorrect use of functions. Check the full error message and traceback to see if there are any other clues as to what might be causing the issue.

Solution-1: Upgrading the Pandas module

As we know that the error is because of the different versions of the Pandas module. The simplest way to get rid of the error is to use an upgraded Pandas module. We can upgrade the Pandas module on our system using any of the following methods:

# Using pip3 to upgrade pandas
pip3 install --upgrade pandas

# Alternatively you can also try
python -m pip install --upgrade pandas

#using pip command
pip install --upgrade pandas

# if you are using jupyter notebook
!pip install --upgrade pandas

# for conda users
conda install --upgrade pandas

Once the module is updated, you can check the version of the installed module using the following commands:

import pandas as pd

print(pd.__version__)

In my case, I have an updated version of pandas which is 1.5.3 for now.

Solution-3: Uninstalling the Pandas module

Another way is to uninstall the Pandas module and then install the new and updated version on your system. You can use the following commands to uninstall the Pandas module on your system.

#using pip command
pip uninstall pandas

# using conda
conda uninstall pandas

Once the module is completely uninstalled, you need to again install the module using any of the following commands:

# using pip command
pip install pandas

# using pip3
pip3 install pandas

# if you are using jupyter notebook
!pip install pandas

# for conda users
conda install pandas

# for linux users
sudo apt install pandas

Hopefully, now you will get rid of the error.

Summary

The error AttributeError: Can’t get attribute ‘new_block’ on <module ‘pandas.core.internals.blocks’> occurs because of a mismatch of Pandas version of the loading model and the installed one. You can easily solve the problem by fixing the mismatched version of the Pandas module. In this short article, we discussed various methods through which you can easily solve the problem.

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