I ran the following code
# Allows the use of display() for displaying
from IPython.display import display DataFrames
It displayed the following error:
File "/usr/lib64/python2.7/site-packages/IPython/utils/colorable.py", line 13, in <module>
import pygments
ImportError: No module named pygments
So I tried installing pygments
:
pip install pygments
and it says:
Requirement already satisfied: pygments in /home/rico/downloads/hgvs-0.1.2/Pygments-2.1.3-py2.7.egg (2.1.3)
Do you have an idea how to resolve this issue? Thanks.
It seems that you installed the Pygments module on the global scope instead of installing inside a virtualenv.
Virtual environments are a way to keep your dependencies inline for your app or service.
virtualenv
is a tool to create isolated Python environments, in which you can now install dependencies specific for that environment rather than installing them globally.
Virtual environments help create consistency in your development and deployment process, which in turn will help build a better app or service.
First, Install virtual env:
pip install virtualenv
To create a virtualenv first run this command:
$ virtualenv -p python3 {name-of-virtual-env}
Lets call it my_venv
, so ran the following command:
$ virtualenv -p python3 my_venv
Once you create the virtual environment, run the following to activate it:
$ source my_venv/bin/activate
After running the activate command you should see the name of your virtual env at the beginning of your terminal like this:
(my_venv) $ source my_venv/bin/activate
Navigate inside the my_venv
folder and install the Pygments module:
cd my_venv && pip3 install pygments
You should see it was installed localy under lib/python3.8/site-packages
inside the my_venv
folder:
`-- my_venv
|-- bin
|-- lib
| `-- python3.8
| `-- site-packages
| |-- chardet
| |-- chardet-3.0.4.dist-info
| |-- idna
| |-- pip
| |-- pip-21.0.1.dist-info
| |-- pip-21.0.1.virtualenv
| |-- pkg_resources
| |-- pygments #<--------- Here
| |-- pygments_promql
| |-- pygments_promql-0.0.5.dist-info
| |-- regex
`-- pyvenv.cfg
When you are done running your app or service, you can shutdown your virtualenv by running the deactivate command:
(my_venv) $ deactivate
Read more in here.