自訂你的圖表
Matplotlib 資料視覺化入門
Ariel Rokem
Data Scientist
自訂資料外觀
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-PRCP-NORMAL"])
plt.show()
加入標記
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-PRCP-NORMAL"],
marker="o")
plt.show()
選擇標記樣式
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-PRCP-NORMAL"],
marker="v")
plt.show()
設定線型
fig, ax = plt.subplots()
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-TAVG-NORMAL"],
marker="v", linestyle="--")
plt.show()
用線型移除連線
fig, ax = plt.subplots()
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-TAVG-NORMAL"],
marker="v", linestyle="None")
plt.show()
選擇顏色
fig, ax = plt.subplots()
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-TAVG-NORMAL"],
marker="v", linestyle="--", color="r")
plt.show()
自訂座標軸標籤
ax.set_xlabel("Time (months)")
plt.show()
設定 y 軸標籤
ax.set_xlabel("Time (months)")
ax.set_ylabel("Average temperature (Fahrenheit degrees)")
plt.show()
加入標題
ax.set_title("Weather in Seattle")
plt.show()
