How to install a predefined package(class) in google colab(python,Jupyter notebook)?

Question

I have already defined a class which I want to use in my code. in order to import it I know I have to install it first.(I am using google's colab)

to install first I uploaded the .py file into my drive which is mounted and no problem with that.

but still there is problem with installing the package.

how can I use this predefined class correctly in my code?

    !pip install robotdef.py

Collecting robotdef.py
  ERROR: Could not find a version that satisfies the requirement robotdef.py (from versions: none)
ERROR: No matching distribution found for robotdef.py

Answer 1

I think I overlooked one thing.

If "I uploaded the .py file into my drive which is mounted and no problem with that." is the situation, you don't have to run pip , but you'll need to expand the Python path to the directory where your package(class) is installed.

I hope this may help.

import sys

sys.path.append('/foo/bar/your-modules-path')

---

pip fetches a package from the Python Package Index (PyPI) repository. This means that the package must be registered on the repository first.

I tried to find 'robotdef.py' or 'robotdef' using a search form on the PyPI website , but it seems that 'robotdef.py' hasn't been registered yet...

If it's on the repository, !pip install <package name> will work fine on the Colab.

Supplement

Sorry, my answer was incomplete.

It's not necessary a package to be registered on the PyPI repository, but you can install a package from local archives , etc.