自定义图表
Matplotlib 数据可视化入门
Ariel Rokem
Data Scientist
自定义数据外观
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-PRCP-NORMAL"])
plt.show()
添加标记
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-PRCP-NORMAL"],
marker="o")
plt.show()
选择标记
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-PRCP-NORMAL"],
marker="v")
plt.show()
设置线型
fig, ax = plt.subplots()
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-TAVG-NORMAL"],
marker="v", linestyle="--")
plt.show()
用线型去除连线
fig, ax = plt.subplots()
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-TAVG-NORMAL"],
marker="v", linestyle="None")
plt.show()
选择颜色
fig, ax = plt.subplots()
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-TAVG-NORMAL"],
marker="v", linestyle="--", color="r")
plt.show()
自定义坐标轴标签
ax.set_xlabel("时间（月）")
plt.show()
设置 y 轴标签
ax.set_xlabel("时间（月）")
ax.set_ylabel("平均气温（华氏度）")
plt.show()
添加标题
ax.set_title("西雅图天气")
plt.show()
