I am trying to annotate each point the graphs on the loop with the country but can not figure out how to di it in a loop.

Here is the code:

import pandas as pd
import matplotlib.pyplot as plt
import csv

    with open('edff.csv', 'w', newline='') as file:
         writer = csv.writer(file)
         
         writer.writerow(["Name", "2000", "2001", "2002"])
         writer.writerow(["Afg", "500", "529","531"])
         writer.writerow(["Alb", "125", "127","129"])
         writer.writerow(["Alg", "52", "54", "55"])
    
    with open('cdff.csv', 'w', newline='') as file:
         writer = csv.writer(file)
         
         writer.writerow(["Name", "2000", "2001", "2002"])
         writer.writerow(["Afg", "501", "531","532"])
         writer.writerow(["Alb", "124", "126","130"])
         writer.writerow(["Alg", "50", "52", "55"])
    
    edff=pd.read_csv("edff.csv")
    cdff=pd.read_csv("cdff.csv")
    
    years = edff.columns.tolist()
    years.pop(0)
    years = [int(ystr) for ystr in years]
    n=1
    for year in years:
        plt.figure(figsize=(9, 6))
        plt.scatter(edff[str(year)], cdff[str(year)], alpha=0.5)
        
        #Getting the country associated with the dot
        for i in range(len(edff)):
            name = edff.iloc[i, 0] 
            plt.text(edff.iloc[i, year - 2000-n], cdff.iloc[i, year - 2000-n], name, fontsize=10)
            plt.plot( [0,600],[0,600] )
    
        n+=1
    
    
    plt.xscale('log')
    plt.yscale('log')

The result should look similar to this: