I've created an Azure function and want to be able to use various packages in the Python code for the function; take Numpy, for example. Obviously, the code is not going to run from my local machine once it's published to Azure. This means I can't install Numpy to whatever infrastructure it runs on, so I can't import Numpy in my code. How can I use a package like Numpy in the code?
2 Answers
From the official doc:
Dependencies are obtained remotely based on the contents of the requirements.txt file
All you need to do is create that file and upload it together with your Function code
Comments
Install python packages from the python code itself with the following snippet: (Tried and verified on Azure functions)
def install(package):
# This function will install a package if it is not present
from importlib import import_module
try:
import_module(package)
except:
from sys import executable as se
from subprocess import check_call
check_call([se,'-m','pip','-q','install',package])
for package in ['numpy','pandas']:
install(package)
Desired libraries mentioned the list gets installed when the azure function is triggered for the first time. for the subsequent triggers, you can comment/ remove the installation code.
