Introduction to Data Visualization with Matplotlib
Ariel Rokem
Data Scientist
,Gold, Silver, Bronze
United States, 137, 52, 67
Germany, 47, 43, 67
Great Britain, 64, 55, 26
Russia, 50, 28, 35
China, 44, 30, 35
France, 20, 55, 21
Australia, 23, 34, 25
Italy, 8, 38, 24
Canada, 4, 4, 61
Japan, 17, 13, 34
medals = pd.read_csv('medals_by_country_2016.csv', index_col=0)
fig, ax = plt.subplots()
ax.bar(medals.index, medals["Gold"]) plt.show()
fig, ax = plt.subplots() ax.bar(medals.index, medals["Gold"])
ax.set_xticklabels(medals.index, rotation=90) ax.set_ylabel("Number of medals")
plt.show()
fig, ax = plt.subplots ax.bar(medals.index, medals["Gold"])
ax.bar(medals.index, medals["Silver"], bottom=medals["Gold"])
ax.set_xticklabels(medals.index, rotation=90) ax.set_ylabel("Number of medals") plt.show()
fig, ax = plt.subplots ax.bar(medals.index, medals["Gold"]) ax.bar(medals.index, medals["Silver"], bottom=medals["Gold"])
ax.bar(medals.index, medals["Bronze"], bottom=medals["Gold"] + medals["Silver"])
ax.set_xticklabels(medals.index, rotation=90) ax.set_ylabel("Number of medals") plt.show()
fig, ax = plt.subplots
ax.bar(medals.index, medals["Gold"])
ax.bar(medals.index, medals["Silver"], bottom=medals["Gold"])
ax.bar(medals.index, medals["Bronze"],
bottom=medals["Gold"] + medals["Silver"])
ax.set_xticklabels(medals.index, rotation=90)
ax.set_ylabel("Number of medals")
fig, ax = plt.subplots ax.bar(medals.index, medals["Gold"], label="Gold") ax.bar(medals.index, medals["Silver"], bottom=medals["Gold"], label="Silver") ax.bar(medals.index, medals["Bronze"], bottom=medals["Gold"] + medals["Silver"], label="Bronze") ax.set_xticklabels(medals.index, rotation=90) ax.set_ylabel("Number of medals")
ax.legend() plt.show()
Introduction to Data Visualization with Matplotlib