定量比较：散点图

Matplotlib 数据可视化入门

Ariel Rokem

Data Scientist

散点图简介

fig, ax = plt.subplots()

ax.scatter(climate_change["co2"], climate_change["relative_temp"])

ax.set_xlabel("CO2 (ppm)")
ax.set_ylabel("相对温度（摄氏度）")
plt.show()

自定义散点图

eighties = climate_change["1980-01-01":"1989-12-31"]
nineties = climate_change["1990-01-01":"1999-12-31"]

fig, ax = plt.subplots()

ax.scatter(eighties["co2"], eighties["relative_temp"],
           color="red", label="eighties")

ax.scatter(nineties["co2"], nineties["relative_temp"],
           color="blue", label="nineties")

ax.legend()

ax.set_xlabel("CO2 (ppm)")
ax.set_ylabel("相对温度（摄氏度）")

plt.show()

用颜色编码比较

用颜色编码第三个变量

fig, ax = plt.subplots()

ax.scatter(climate_change["co2"], climate_change["relative_temp"],
           c=climate_change.index)

ax.set_xlabel("CO2 (ppm)")
ax.set_ylabel("相对温度（摄氏度）")
plt.show()

用颜色表示时间

练习制作自己的散点图！

Matplotlib 数据可视化入门