"""
Plot total cases of countries over time on log scale
"""
import matplotlib.pyplot as pp

def plot(data, countries):

    tcp, tc = pp.subplots()
    tdp, td = pp.subplots()
    ncp, nc = pp.subplots()
    ndp, nd = pp.subplots()
    for loc in data:
        if loc not in countries:
            continue
        time, new_cases, new_deaths, total_cases, total_deaths = data[loc]
        
        # total cases
        tc.plot(time, total_cases, label=f"{loc}")

        # total deaths
        td.plot(time, total_deaths, label=f"{loc}")

        # new cases
        nc.plot(time, new_cases, label=f"{loc}")

        # new deaths
        nd.plot(time, new_deaths, label=f"{loc}")

    for ax, fig, name in [(tc, tcp, "total_cases"), (td, tdp, "total_deaths"), (nc, ncp, "new_cases"), (nd, ndp, "new_deaths")]:
        ax.set_yscale("log")
        for tick in ax.get_xticklabels():
            tick.set_rotation(45)
        ax.legend(frameon=False)
        fig.tight_layout()

        fig.savefig(name+".png")