Neil Young Age

young.py

import numpy as np
import matplotlib.pyplot as plt

# People (first name, birth year)
people = [
    ("Neil", 1945),
    ("Paul", 1956),
    ("Angus", 1955),
    ("Sean", 1959),
    ("Esme", 1949),
    ("Will", 1979),
]

start_year, end_year = 1940, 2025
years = np.arange(start_year, end_year + 1)

def young_accuracy_by_year(years, birth_year, cutoff_age=30, steepness=0.25):
    ages = years - birth_year
    acc = 1 / (1 + np.exp(steepness * (ages - cutoff_age)))
    acc[ages < 0] = np.nan
    return acc

plt.figure(figsize=(10.5, 6))

for name, b in people:
    acc = young_accuracy_by_year(years, b, cutoff_age=30, steepness=0.25)
    plt.plot(years, acc, linewidth=2, label=name)

plt.xlim(start_year, end_year)
plt.ylim(-0.05, 1.05)
plt.xlabel("Year", fontsize=18)
plt.ylabel("Accuracy", fontsize=18)
plt.title("Accuracy of \"Young\" Surname", fontsize=25)
plt.legend(ncol=3, fontsize=15, frameon=False)
plt.tight_layout()

# Add annotation
plt.text(0.95, -0.081, 'by @iamreddave', fontsize=8, color='gray', ha='right', transform=plt.gca().transAxes, alpha=0.7)


out_path = "young_curves_firstnames.png"
plt.savefig(out_path, dpi=150)
plt

out_path