Download Earthquake Magnidute Data With Lambda (1) Xlsx Official

If you don't need automation, you can download pre-filtered data directly from the USGS Earthquake Catalog in , which opens natively in Excel.

Zip them into a folder structure: python/lib/python3.x/site-packages/ . Upload this zip as a new Layer in the AWS Lambda Console . 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 If you don't need automation, you can download

This script fetches real-time data for earthquakes with a magnitude of 1.0 or higher from the last 24 hours: To download earthquake magnitude data as an

To create this automation, you will typically use with the pandas and openpyxl libraries. 1. Prepare Your Environment

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.