Temperature Anomaly

Global climate indicators by decade: temperature anomaly, CO₂ concentration, sea level rise, and Arctic ice extent.

import polars as pl
import polarise
from polarise.datasets import get_climate_data
df = get_climate_data()

---

Temperature anomaly (divergent gradient)

{ cmap="vik" · built-in or cmcrameri }

(df.style()
   .gradient_divergent("Temp_Anomaly", center=0.0, cmap="vik")
   .fashion_minimal()
   .title("Global Temperature Anomaly by Decade")
   .footnote("Anomaly relative to 1951–1980 baseline. Source: NASA GISS.")
   .show()
 )

Global Temperature Anomaly by Decade

Decade	Temp_Anomaly	CO2_ppm	Sea_Level_mm	Arctic_Ice_M_km2
1880s	-0.27	290	0	7.5
1910s	-0.27	300	10	7.4
1940s	0.05	310	30	7.3
1970s	0.01	326	50	7.2
1990s	0.33	354	90	6.8
2000s	0.62	377	150	6.2
2010s	0.93	395	210	5.1
2020s	1.17	417	250	4.7

Anomaly relative to 1951–1980 baseline. Source: NASA GISS.

---

CO₂ and temperature bars

{ cmap="Heat 2" · colorspace }

(df.style()
   .gradient("CO2_ppm", cmap="Heat 2")
   .bar("Temp_Anomaly", fill_pos="#FF6347", fill_neg="steelblue")
   .fashion_grid()
   .title("CO₂ and Temperature Trends")
   .show()
 )

CO₂ and Temperature Trends

Decade	Temp_Anomaly	CO2_ppm	Sea_Level_mm	Arctic_Ice_M_km2
1880s	-0.27	290	0	7.5
1910s	-0.27	300	10	7.4
1940s	0.05	310	30	7.3
1970s	0.01	326	50	7.2
1990s	0.33	354	90	6.8
2000s	0.62	377	150	6.2
2010s	0.93	395	210	5.1
2020s	1.17	417	250	4.7

---

Threshold alerts

(df.style()
   .highlight_above("CO2_ppm", value=400)
   .highlight_below("Arctic_Ice_M_km2", value=6.0, fill="#FF6347")
   .fashion_scientific()
   .caption("Table 2: Climate indicators exceeding critical thresholds")
   .show()
 )

Table 2: Climate indicators exceeding critical thresholds

Decade	Temp_Anomaly	CO2_ppm	Sea_Level_mm	Arctic_Ice_M_km2
1880s	-0.27	290	0	7.5
1910s	-0.27	300	10	7.4
1940s	0.05	310	30	7.3
1970s	0.01	326	50	7.2
1990s	0.33	354	90	6.8
2000s	0.62	377	150	6.2
2010s	0.93	395	210	5.1
2020s	1.17	417	250	4.7