No module named 'altair'
You are missing altair package in your Python environment!
You got error message about missing Python package. The error happens when you try to import Python module altair. The Python complains that altair module can't be importend because its path is not present in your current Python path.
When using Python srcipt in your terminal your output with error message might look like this:
python -c "import altair"
Traceback (most recent call last):
File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'altair'
Are you using Python notebook? Then your code cell with error message looks similar to:
import altair
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[1], line 1
----> 1 import altair
ModuleNotFoundError: No module named 'altair'
3 ways to fix - No module named altair
Don't worry. We will fix the issue. You need to install missing package. We will show you 3 ways of how it can be fixed:
- - install altair using pip
- - install altair using conda
- - automatic install of altair in MLJAR Studio
Why there are three ways to fix this issue? It all depends on which package manager are you using. The most common package manager is pip. The common choice, especially in Windows environments, is conda manager. There are also other Python package managers, for example Poetry, but we don't cover them in this article.
The last way to fix issue, is to use MLJAR Studio. It is a notebook based programming environment that can automatically detect missing Python packages and install them.
How to check if package manager is pip or conda
Are you not sure what package manager are you using? Please try the following command and if you goet the conda version displayed it means that you are using conda package manager:
conda --version
conda 23.11.0
conda --version
Command 'conda' not found
Please try the below code cell if you are in Python notebook. If you get no error then you are using conda otherwise please use pip for installing new packages.
import sys
!conda list --prefix {sys.prefix}
Install altair with pip
Please run the following command to install altair with pip:
pip install altair
If you are using virtual environment, please make sure that it is activated.
For Python notebook users, please use the following command:
import sys
!{sys.executable} -m pip install altair
This will ensure that a new package is installed in Python from currently used notebook kernel. You will be able to import altair package in your notebook.
It is worth to check the PyPi website of altair. You can check there what is the current version and history of releases.
Install altair with conda
The altair package can be installed with the command:
conda install -c conda-forge altair
If you are in Python notebook, please use the following code:
import sys
!conda install --yes --prefix {sys.prefix} -c conda-forge {entry.installName}
The above code cell ensures you that altair is installed in the correct environment and will be accessable in your current notebook. Please check altair conda-forge website to check latest version number and history of releases.
Automatic install of altair in MLJAR Studio
MLJAR Studio is a notebook based programming environment. It offers a set of interactive Python code recipes to make coding super easy.
Each code recipe has information about required packages. If code recipe depends on altair and it is not available in Python environment then you will get the below information.
Install packages
Please install below packages to use this code recipe.
Please wait a while for altair package installation after clicking Install package button. You will see below message:
Install packages
Please install below packages to use this code recipe.
After successful installation you will get information that package is available and you can use code recipe.
Required packages
You can focus on coding rather than fighting your python environment thanks to automatic package management.
What is altair?
Altair is a declarative statistical visualization library for Python that simplifies the process of creating complex visualizations. It allows users to define visualizations using a concise and intuitive grammar, focusing on the relationships between data attributes. Altair is built on Vega and Vega-Lite visualization grammars, which provide powerful capabilities for interactive and high-quality plots. The library integrates well with pandas data structures, making it easy to visualize data frames and explore data interactively. Altair is particularly valued for its ease of use and the ability to create informative charts with minimal code.
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