How to import numpy using layer in lambda aws?

Question

I am trying to add the numpy package to my lambda function, but I can’t import it.

I have followed several tutorials, but they all have the same problem. On my last attempt, I executed the following step by step:

I created a lambda function in AWS and tested it
Installed the numpy package on my local machine and zipped it
Created lambda layer and loaded the numpy package
Fixed the layer to lambda and tested

When I run my lambda function without importing numpy, it works perfectly, however when I import it I get this error:

{
  "errorMessage": "Unable to import module 'lambda_function': No module named 'numpy'",
  "errorType": "Runtime.ImportModuleError",
  "requestId": "0153834a-6b28-44d1-889f-3e2e3ead9c4a",
  "stackTrace": []
}

A very common error on the forum, however everything is fine with lambda_function, because as I said it works fine if I’m not importing any module.

lambda_function.py

import json
import numpy 

def lambda_handler(event, context):
    # TODO implement
    return {
        'statusCode': 200,
        'body': json.dumps('Hello from Lambda!')
    }

I would like to learn how to use Layers inside Lambda.

Asked By: Efidelity

||

Source

Answer 1

There are at least two ways to add NumPy to your AWS Lambda as layer:

Add an AWS (Managed) Layer:
From your Lambda console, choose AWS Layers and AWSSDKPandas-Python39 (Choose a layer accordingly for your Python version). Since Pandas is built on top of NumPy, you should be able to use NumPy once you add this Pandas layer.
Add a custom layer:
Create a virtual environment on your local machine, install NumPy, create a zip file, and upload to AWS as a layer. Ensure the version of Python in your local Virtual env is the same as the Lambda. Step by step instruction here. This is a general approach which you can use to add any external Python libraries as Lambda layers.

Answered By: Freda Xin

How to import numpy using layer in lambda aws?

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