WHRPlotter.py

%matplotlib inline

from matplotlib import pyplot as plt
import numpy as np
import pandas as pd

plt.style.use('fivethirtyeight')

x = np.linspace(0, 10)

data = pd.read_csv('whr2017.csv')

# Fixing random state for reproducibility

fig, ax = plt.subplots()


ax.scatter(data["Log GDP per capita"],data["Healthy life expectancy at birth"],color="teal")

ax.set_title("GDP vs. Life Expectancy")

ax.set_xlabel("Log GDP")
ax.set_ylabel("Life Expectancy")


fig.set_size_inches(12.5, 7.5)
fig.savefig('test4png.png', dpi=100)