Module ‘pandas’ has no attribute ‘computation’

A common issue while using the pandas library is the error: module ‘pandas’ has no attribute ‘computation.’ Pandas is a pivotal tool for data manipulation and analysis in Python and, thus, is a library that is frequently used. But what happens when we encounter an error indicating a non-existent attribute ‘computation’ in Pandas? This article will help you guide through that question.

What is module ‘pandas’ has no attribute ‘computation’?

The error module ‘pandas’ has no attribute ‘computation’, which is a problem that arises when there’s an attempted use of a non-existing attribute ‘computation’ of the pandas library.

What causes the module ‘pandas’ to have no attribute ‘computation’ error?

This error usually surfaces when there’s a discrepancy in version compatibility between the pandas library and other dependent libraries. So, you may be using a version of Pandas incompatible with the version of another data-manipulating library, which is dask in most cases.

Typically, this error might pop up while importing dask and performing operations. Here’s a simple example:

import dask.dataframe as dd
import pandas as pd
df = pd.DataFrame({'x': range(1000)})
df_dd = dd.from_pandas(df, npartitions=10)
result = df_dd['x'].mean().compute()

The above code could throw the error: module ‘pandas’ has no attribute ‘computation’.

How do we resolve the module ‘pandas’ that has no attribute ‘computation’ error?

Update Dask version

If you’re encountering this error, I’d recommend first trying an update of the dask library, specifically to version 0.15.0. Here’s how to update:

!pip install dask
!conda update dask

Then, check if the problem is resolved using:

!pip show dask

Your output should display:

Name: dask
Version: 0.15.0
Summary: Parallel PyData with Task Scheduling
Author: Matthew Rocklin
Author-email: [email protected]
License: BSD
Location: c:\anaconda3\lib\site-packages

Revert to a Compatible Pandas Version

Another option to rectify this error is to revert to an older, compatible version of Pandas, specifically Pandas 0.19.2. Here’s how you can revert:

Use the following command and respond with ‘y’:

!pip install pandas
conda install pandas=0.19.2

Then, re-run your Python script. The problem should now be resolved.


What’s the relationship between pandas and dask?

Dask provides multi-core execution on larger-than-memory datasets. It can integrate well with existing Python projects like pandas and extends their functionality.

Can updating Python versions affect the functionality of libraries like pandas or dask?

Since libraries are often independent in development, different Python versions can have different compatibility levels with them.


In conclusion, the module ‘pandas’ has no attribute ‘computation’ error and is often a result of version discrepancies between pandas and dask. It is solvable by updating your dask package or reverting pandas to a compatible version. It’s a reminder that keeping an eye on our environments and library versions is as important as coding.


  1. dask
  2. pandas library

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