From eaa9919e791b621a9bebf60c4b4d3aa47296ce4b Mon Sep 17 00:00:00 2001
From: "nabil.abdennad" <nabil.abdennadher@hesge.ch>
Date: Mon, 28 Oct 2024 17:30:47 +0100
Subject: [PATCH] update

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index ff75163..eb300c2 100644
--- a/README.md
+++ b/README.md
@@ -47,7 +47,7 @@ This function will receive NDVI mean values over time, plot them, and generate a
     * For the runtime environment, select Python 3.10.
     * Under permissions, choose the exisiting role **faas_ndvi_role**.
 2. Dependency Management:
-Add a custom layer named **matplotlib**. This layer should include the rioxarray library necessary for plotting time series data.
+Add a custom layer named **matplotlib**. This layer should include the matplotlib library necessary for plotting time series data.
 3. Function Code:
 In the Lambda function's code editor, paste the contents of the **Plot NDVI Time Series.py** script. This script contains the logic to plot the results, save it into png format and put it in S3 bucket.
 4. Go to 'Configuration'. Edit 'General configuration':
-- 
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