[FIXED] Importing the numpy C-extensions failed (Amplify)

Issue

Cross posted on GitHub

I'm working with AWS Amplify and pipenv for my python 3.9 lambda. I'm attempting to use pandas to create a dataframe, do some processing and write it back to CSV for sagemaker inference.

Reproducing code example:

import pandas as pd

(Code immediately fails after this)

Error message:

Here's the full error message:

[ERROR] Runtime.ImportModuleError: Unable to import module 'index': 

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

    https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

  * The Python version is: Python3.9 from "/var/lang/bin/python3.9"
  * The NumPy version is: "1.21.2"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: No module named 'numpy.core._multiarray_umath'

I first downloaded with pipenv install pandas which automatically installs numpy

To solve I've tried:

• pipenv install numpy / pipenv uninstall numpy
• pipenv uninstall pandas / pipenv install pandas
• pipenv uninstall setuptools / pipenv install setuptools

Important to note I'm on Windows 10

Solution

I had ran into a similar issue. After much research it looks like the Lambda Layer AWSLambda-Python38-SciPy1x provided by Amazon is your best bet. More Info is here.

You can manually add the Layer via the Console like so: Picture for you

---

Or you can add the layer via the Amplify CLI. I ran the following commands on an existing lambda function:

amplify function update

• Then select the Lambda function (serverless function) you'd like to add the layer to.

• Go to Lambda layers configuration.

• Provide the ARN under Provide existing Lambda Layer ARN.

• I used arn:aws:lambda:us-west-2:420165488524:layer:AWSLambda-Python38-SciPy1x:29

  amplify push

That should do the trick.

Answered By - Michael Angelo