AttributeError module seaborn has no attribute histplot [Solved]

When you are working with seaborn module, sometime you might face AttributeError: module seaborn has no attribute histplot error which occurs when we tried to plot the histplot in the older version of seaborn where this function is not available. The simplest way to get rid of this error to upgrade the seaborn module on your system. In this short article, we will learn how we can get rid of the AttributeError: module seaborn has no attribute ‘histplot’ error using various methods. Moreover, we will also try to understand the error in more detail so that we can solve such errors in the future by ourselves as well.

Solve AttributeError module seaborn has no attribute histplot

The AttributeError module seaborn has no attribute ‘histplot’ error occurs when we use the histplot function which is not available in the older versions of the seaborn module. The error seems to be complicated but it is very easy to solve.

For example, let us say we want to plot histplot in the older version of seaborn

#import seaborn
import seaborn as sns

...

#ploting histplot
sns.histplot(train, x = "Age", hue="Sex")

Output:

 ---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-11-d14c3b5a0670> in <module>
----> 12 sns.histplot(train, x = "Age", hue="Sex")

AttributeError: module 'seaborn' has no attribute 'histplot'

As you can see, we got the error. Now let us see how we can solve the issue using various methods:

In this short article, we will go through the following methods to solve the error:

  • Upgrading the seaborn module
  • Reinstalling the module
  • Installing the specific version of the module
  • Using a virtual environment

Let us now go through each of these methods

Upgrading the seaborn module

Now we will use the pip command to upgrade the seaborn module. Depending on the version of pip, you can use any of the following commands to upgrade the seaborn module.

# if you are using pip version 2
pip install seaborn --upgrade

# for pip version 3
pip3 install seaborn --upgrade

Here are some other alternatives to upgrade the seaborn module on your system.

# for python 2
python -m pip install seaborn --upgrade

# for python 3
python3 -m pip install seaborn --upgrade

# for windows
py -m pip install seaborn --upgrade

If you are using a Jupyter notebook or anaconda environment, then you can use the following commands:

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

# if you are using anaconda
conda install seaborn --upgrade

Hopefully, the above methods will help you to get rid of the error.

Uninstalling the module

If the upgrading does not help or gave an error while upgrading, then you can install the module and then install it again.

# uninstalling numba module
pip uninstall seaborn

# uninstall numpy module
pip uninstall seaborn

Now, install the seaborn again using any of the following methods.

# using pip command
pip install seaborn

# using pip 3
pip3 install seaborn

# for jupyter notebook
!pip install seaborn

# anaconda 
conda install seaborn

Now hopefully the above method will help you to get rid of the error:

Installing specific version

Another method is to install the specific version of seaborn on your system. You can use any of the following methods:

# for jupyter notebook
%pip install seaborn==0.11.1

# using pip command
pip install seaborn==0.11.1

# using pip command
pip3 install seaborn==0.11.1

# using conda
conda install seaborn==0.11.1

Hopefully, now you will not get AttributeError error:

Using a virtual environment

If you are using the virtual environment, then make sure that you have installed the seaborn module on your virtual environment as well.

Here is how you can activate the virtual environment on your system

# creating venv envrionnment
python -m venv venv

# activate on Unix or MacOS
source venv/bin/activate

#  activate on Windows (cmd.exe)
venv\Scripts\activate.bat

# activate on Windows (PowerShell)
venv\Scripts\Activate.ps1

Now, the next step is to install the seaborn module on the virtual environment.

# using pip command
pip install seaborn

# using pip 3
pip3 install seaborn

# for jupyter notebook
!pip install seaborn

# anaconda 
conda install seaborn

Hopefully, now you will no more get the error

Understanding AttributeError: module seaborn has no attribute histplot error

Now let us try to understand the error. In Python, the error usually has two main parts. The first tells us about the category of the error which in this case is AttributeError. The second part of the error gives more specific information about the error. For example, in this case, the error in the second part says seaborn has no attribute displot which means we have used displot() function with seaborn which is not available.

What is AttributeError in Python?

When an attribute reference or assignment fails, the Python AttributeError exception is thrown. When an attribute reference attempt is made on a value that does not support the attribute, this can happen.

What is an Attribute in Python?

Any variable that is bound in a class is a class attribute. Any function defined within a class is a method. Methods receive an instance of the class, conventionally called self, as the first argument.

What is the seaborn module?

Python’s Seaborn package allows you to create statistical visuals. It incorporates tightly with Pandas data structures and is built upon Matplotlib. You may examine and comprehend your data with Seaborn.

What is displot in seaborn?

The change in the data distribution is shown by a distribution plot or Distplot. The total distribution of continuous data variables is represented by a Seaborn Distplot. The distplot with several modifications is shown using the Seaborn module and the Matplotlib module.

Summary

In this short article, we learned how we can solve the error. We discussed three different methods to get rid of the problem. Moreover, we also discussed the AttributeError: module seaborn has no attribute histplot to understand it fully.

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