你可以使用matplotlib中的annotate()函数。

import pandas as pd
import matplotlib.pyplot as plt

# Load data from CSV file into a Pandas DataFrame
data = pd.read_csv('uk_counties_data.csv')

# Create scatter plot
plt.scatter(data['population'], data['crime_rate'])

# Add labels to each point
for i in range(len(data)):
    plt.annotate(data['county'][i], xy=(data['population'][i], data['crime_rate'][i]))

# Set plot title and axis labels
plt.title('UK Counties Crime Rate vs Population')
plt.xlabel('Population')
plt.ylabel('Crime Rate')

# Display plot
plt.show()

我在这个csv文件中使用了一些数据：

county,population,crime_rate
Bedfordshire,664527,56.2
Berkshire,909902,47.5
Bristol,449300,74.9
Buckinghamshire,803577,47.8
Cambridgeshire,657751,49.1
Cheshire,1170194,71.6
Cornwall,568210,57.9
Cumbria,498888,60.5
Derbyshire,1065655,66.2
Devon,789908,57.4
Dorset,376426,52.8
Durham,526980,73.4
East Sussex,767415,55.9
Essex,1461700,68.2
Gloucestershire,626107,52.7
Greater London,8980170,85.6
Greater Manchester,2830000,96.2
Hampshire,1858000,52.4
Herefordshire,191031,46.2
Hertfordshire,1188077,50.1
Isle of Wight,141538,50.8
Kent,1661000,61.5
Lancashire,1461000,76.2
Leicestershire,715900,77.9
Lincolnshire,771349,61.1
Merseyside,1431000,97.4
Norfolk,899016,50.9
North Yorkshire,626964,56.3
Northamptonshire,723000,66.2
Northumberland,320000,57.9
Nottinghamshire,1152995,74.8
Oxfordshire,687927,54.6
Rutland,39895,37.4
Shropshire,320274,46.8
Somerset,560000,56.6
South Yorkshire,1400000,85.2
Staffordshire,1121253,71.3
Suffolk,758000,52.5
Surrey,1220000,49.9
Tyne and Wear,1336000,89.6
Warwickshire,557636,52.4
West Midlands,2900000,86.4
West Sussex,850000,48.7
West Yorkshire,2341000,82.1
Wiltshire,465000,43.2
Worcestershire,588000,52.8

得到这个输出
result