I'm looking for a work around to use numpy in AWS lambda. I am not using EC2 just lambda for this so if anyone has a suggestion that'd be appreciated. Currently getting the error:
cannot import name 'multiarray'
Using grunt lambda to create the zip file and upload the function code. All the modules that I use are installed into a folder called python_modules inside the root of the lambda function which includes numpy using pip install and a requirements.txt file.
An easy way to make your lambda function support the numpy library for python 3.7:
Now your lambda function is ready to support numpy.
As of 2018 it's best to just use the inbuilt layers functionality.
AWS have actually released a pre-made one with numpy in it: https://aws.amazon.com/blogs/aws/new-for-aws-lambda-use-any-programming-language-and-share-common-components/
I was unable to find a good solution using serverless plugins, but I did find a good way with layers. See Serverless - Numpy - Unable to find good bind path format
Add numpy layer in this way:
Go on your lambda function
select add a new layer
add it using this arn: arn:aws:lambda:eu-central-1:770693421928:layer:Klayers-p39-numpy:7
(change your zone if you are not in eu-central-1)
Let me know if it will work
I would add this answer as well: https://stackoverflow.com/a/52508839/1073691
Using pipenv includes all of the needed .so files as well.
1.) Do a Pip install of numpy to a folder on your local machine.
2.) once complete, zip the entire folder and create a zip file.
3.) Go to AWS lambda console, create a layer and upload zip file created in step 2 there and save the layer.
4.) After you create your lambda function, click add layer and add the layer you created. That's it, import numpy will start working.
