問題描述

如何在散點圖（地理地圖）上標註數據？ (How to annotate data on the scatter plot (geo map)?)

來自 california house dataframe (ch)，

我創建了這個代碼：

lat, lon = ch['latitude'], ch['longitude']
mhv = ch['median_house_value']
# Scatter the points, using size and color but no label
plt.figure(figsize=(10,7))
plt.scatter(
    lon, lat, 
    c=mhv, 
    s=ch['population']/100, 
    linewidth=0, alpha=0.9,
)
plt.xlabel('longitude')
plt.ylabel('latitude')
plt.colorbar(label='median house value')

for pop in [5, 10, 50, 100, 200]:
    plt.scatter([], [],  alpha=0.6, s=pop,
                label=str(pop), c='k')
plt.legend(scatterpoints=1, frameon=False,
           labelspacing=1, title='population size* 10e‑2')

plt.show()

它給了我這個數字：

問題是：如何在地圖上標註箭頭和括號以及緯度和經度的最小和最大坐標？

換句話說：我想要這個 ‑ ‑>(min lat, min lon) 和 ‑‑>(max lat, max lon) 在地圖上標記點。

參考解法

方法 1:

I think your data is from Kaggle, but I do not have it. Anyway, maybe you can try these:

# add text at bottom left

x,y = (‑123,33)

plt.text(x,y,'(min lat, min lon)',fontsize=20,weight='bold',bbox=dict(facecolor='white', edgecolor='black'))

add arrows (use negative values to reverse the arrow direction)
plt.arrow(x=‑124, y=33, dx=5, dy=0, width=.08, color = "purple")

</code></pre>
Of course, you may adjust the input values based on your needs.
(by Lorenzo Bussotti、Jeremy)
參考文件


How to annotate data on the scatter plot (geo map)? (CC BY‑SA 2.5/3.0/4.0)