Python, Pandas, Data Science, Climate Change, Matplotlib.
df[df.index.get_level_values(level="timestamp") > date(2000, 1, 1)].groupby("area").mean().sort_values(by="temp_change",ascending=False).head(10) To extract the top 10 countries with the highest average temperature increase since the year 2000, we perform the following steps: Filter the dataframe