Untitled

import matplotlib.pyplot as plt

# Data for the chart
countries = ['United Kingdom', 'China', 'United States', 'Russian Federation', 'Qatar']
emissions_1990 = [9.8, 1.9, 19.4, 14.6, 28.4]
emissions_2020 = [4.6, 7.8, 13.0, 11.1, 31.7]

# Creating the bar chart
fig, ax = plt.subplots(figsize=(12, 6))
bar_width = 0.35
index = range(len(countries))

bar1 = plt.bar(index, emissions_1990, bar_width, label='1990', color='b')
bar2 = plt.bar([i + bar_width for i in index], emissions_2020, bar_width, label='2020', color='r')

plt.xlabel('Country')
plt.ylabel('CO2 Emissions per Capita (Metric Tonnes)')
plt.title('CO2 Emissions per Capita (1990 vs 2020)')
plt.xticks([i + bar_width / 2 for i in index], countries)
plt.legend()

# Adding percentage change labels
for i in range(len(countries)):
    change = (emissions_2020[i] - emissions_1990[i]) / emissions_1990[i] * 100
    plt.text(i, max(emissions_1990[i], emissions_2020[i]) + 1, f'{change:.1f}%', ha='center')

plt.show()