import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib as mpl

sns.set()

births = pd.read_csv("data/births.csv")
births["decade"] = 10 * (births["year"] // 10)


births.pivot_table("births", index="year", columns="gender", aggfunc="sum").plot()
plt.ylabel("total births per year")

plt.show(block=True)