From 2516676ba78506da3df88de59ee827779a464e85 Mon Sep 17 00:00:00 2001
From: veronikasamborska1994
 <32176660+veronikasamborska1994@users.noreply.github.com>
Date: Mon, 10 Feb 2025 11:35:42 +0000
Subject: [PATCH] remove 2025 from annual average

---
 .../2025-01-07/surface_temperature_annual_average.py       | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/etl/steps/data/grapher/climate/2025-01-07/surface_temperature_annual_average.py b/etl/steps/data/grapher/climate/2025-01-07/surface_temperature_annual_average.py
index feb97eb002e..8ba648dde1e 100644
--- a/etl/steps/data/grapher/climate/2025-01-07/surface_temperature_annual_average.py
+++ b/etl/steps/data/grapher/climate/2025-01-07/surface_temperature_annual_average.py
@@ -58,7 +58,12 @@ def run(dest_dir: str) -> None:
     # Replace the decadal values with NaN for all years except the start of each decade
     combined.loc[combined["year"] % 10 != 0, ["temperature_anomaly_decadal", "temperature_2m_decadal"]] = np.nan
     combined = combined.drop(columns=["decade"])
-    # Filter rows where the year is less than or equal to 2024
+    # Remove the latest as it's often not representation of the full year
+    latest_year = combined["year"].max()
+    combined = combined[combined["year"] != latest_year]
+
+    # Set decadal values to NaN for non-decadal years
+    combined.loc[combined["year"] % 10 != 0, ["temperature_anomaly_decadal", "temperature_2m_decadal"]] = np.nan
     combined = combined.set_index(["year", "country"], verify_integrity=True)
 
     # Save outputs.