China vs US GDP comparison from 2016-2020 generated by free version of ChatGPT in March 2023

gdp.py

import pandas as pd
import matplotlib.pyplot as plt

# Create a dictionary of GDP data for the USA and China from 2016 to 2020
data = {
    'Country': ['USA', 'China'],
    '2016': [18624475, 11233273],
    '2017': [19542968, 12408149],
    '2018': [20580518, 13608152],
    '2019': [21433226, 14271038],
    '2020': [20494100, 15063315]  # Note: 2020 data for China is an estimate
}

# Convert the dictionary into a pandas DataFrame
df = pd.DataFrame(data)

# Set the Country column as the DataFrame index
df.set_index('Country', inplace=True)

# Create a bar chart of the GDP data
ax = df.plot(kind='bar', rot=0, figsize=(10, 6))

# Set the chart title and axis labels
ax.set_title('GDP Comparison: USA vs China (2016-2020)')
ax.set_xlabel('Year')
ax.set_ylabel('GDP (in billions of US dollars)')

# Display the chart
plt.show()