Download Earthquake Magnidute Data With Lambda (1) Xlsx Apr 2026

AWS Lambda does not include pandas or openpyxl by default. You must add them as a :

If you don't need automation, you can download pre-filtered data directly from the USGS Earthquake Catalog in , which opens natively in Excel. Download EARTHQUAKE MAGNIDUTE DATA with lambda (1) xlsx

To download earthquake magnitude data as an .xlsx file using , you can automate the process of fetching data from the USGS Earthquake API and converting it into a spreadsheet. Quick Guide to Building the Lambda Function AWS Lambda does not include pandas or openpyxl by default

To create this automation, you will typically use with the pandas and openpyxl libraries. 1. Prepare Your Environment Quick Guide to Building the Lambda Function To

import json import pandas as pd import requests import boto3 from io import BytesIO def lambda_handler(event, context): # 1. Fetch data from USGS API (GeoJSON format) url = "https://usgs.gov" response = requests.get(url) data = response.json() # 2. Extract relevant magnitude and location details features = data['features'] quakes = [] for f in features: prop = f['properties'] quakes.append({ 'Magnitude': prop['mag'], 'Place': prop['place'], 'Time': pd.to_datetime(prop['time'], unit='ms'), 'Type': prop['type'] }) # 3. Convert to Excel using Pandas df = pd.DataFrame(quakes) excel_buffer = BytesIO() with pd.ExcelWriter(excel_buffer, engine='openpyxl') as writer: df.to_excel(writer, index=False, sheet_name='Earthquakes') # 4. Upload to S3 (optional, for storage) s3 = boto3.client('s3') bucket_name = "your-bucket-name" s3.put_object(Bucket=bucket_name, Key="earthquakes.xlsx", Body=excel_buffer.getvalue()) return { 'statusCode': 200, 'body': "XLSX file successfully generated and stored." } Use code with caution.