campaign_death.py

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

deaths = [596577, 142942, 73831, 41374, 39518, 21176, 7683, 6849]
money = [54.1, 7, 4.2, 257.85, 3.2, 147, 14, 22.9]
names = ["Heart disease", "COPS", "Diabetes", "Breast cancer",
         "Suicide", "Prostate cancer", "HIV/AIDS", "Motor neuron disease"]

sns.set_style("white")
ypos = np.arange(len(deaths)) + 0.5
plt.subplot(121)
plt.barh(ypos, -np.array(money)[::-1], align="center")
plt.xticks(range(0, -401, -100), (["{}M".format(k) for k in range(0, 401, 100)]))
plt.xlabel("Money raised by the studied campaign (USD)")

for this_y, xval in zip(ypos, money[::-1]):
    plt.text(-(xval + 10), this_y, "${}M".format(xval),
             horizontalalignment="right")

plt.yticks(())
plt.subplot(122)
plt.barh(ypos, deaths[::-1], align="center")
plt.yticks(ypos, names[::-1], horizontalalignment="center", x=-0.33,
           weight="bold")
plt.xticks(range(0, 800001, 200000), (["{}k".format(k)
                                       for k in range(0, 801, 200)]))
plt.xlabel("Deaths in the US")
for this_y, xval in zip(ypos, deaths[::-1]):
    plt.text(xval + 10000, this_y, str(xval))
plt.suptitle("Campaign results vs. deaths caused by diseases (source: "
             "http://goo.gl/PsXbs0)")
plt.subplots_adjust(left=0.05, right=0.95, wspace=0.75, top=0.93)
plt.savefig("death.png")