[英]Adding label or location for geopandas plot
I have created a geopandas plot of a state with all it's administrative locations.我创建了一个地理熊猫 plot 的 state 及其所有管理位置。
map_df map_df
NAME ADMIN_LEVE geometry Party
0 Valsad 5 POLYGON ((73.02324 20.72237, 73.04599 20.70275... 3
1 Mumbai None POLYGON ((72.76066 18.83622, 72.75976 19.18686... 2
2 Mumbai 5 POLYGON ((72.83468 19.04853, 72.84073 19.04861... 2
3 Daman 5 POLYGON ((72.85930 20.47104, 72.86580 20.46770... 2
4 Bharathiya Kamala Nagar None POLYGON ((72.87127 19.02556, 72.87158 19.02717... 5
... ... ... ... ...
79 Dantewada 5 POLYGON ((80.82621 19.34821, 80.83647 19.33215... 4
80 Raj Nandgaon 5 POLYGON ((80.81506 20.76028, 80.81328 20.74423... 1
81 Kanker 5 POLYGON ((80.91854 20.09037, 80.89668 20.09483... 2
82 Bastar 5 POLYGON ((80.92032 19.31699, 80.89713 19.31387... 1
83 Durg 5 POLYGON ((80.84896 20.66974, 80.82175 20.68357... 4
This is the code which I use to create the plot of the state:这是我用来创建 state 的 plot 的代码:
fig, ax = plt.subplots(1, figsize=(200, 100))
cmap = colors.ListedColormap(['red', 'blue', 'green', 'yellow', 'orange'])
bounds = [1,2,3,4,5,6]
norm = colors.BoundaryNorm(bounds, cmap.N)
ax.axis('off')
map_df.plot(column='Party', cmap=cmap, norm=norm,linewidth=0.8, ax=ax, edgecolor='0.8')
plt.show()
Current output:当前 output:
Desired output: would be the whole map marked the following way:所需的 output:将是整个 map 标记方式如下:
I'd like to change this image such that the values in map_df['NAME']
are labeled inside the plot of that administrative location.我想更改此图像,以便在该管理位置的 plot 内标记
map_df['NAME']
中的值。
Any help or suggestions would be really appreciated.任何帮助或建议将不胜感激。
You can simply add a label like so您可以像这样简单地添加 label
ax = map_df.plot(column='Party', cmap=cmap, norm=norm,linewidth=0.8, ax=ax, edgecolor='0.8')
ax.annotate(label, xy=(x, y), xytext=(3, 3), textcoords="offset points")
where the label
is what you would want to add with the rest of the variables defined.其中
label
是您想要与定义的变量的 rest 一起添加的内容。 Refer here for more on that.有关更多信息,请参阅此处。
I would also advise on using legends
since text can overflow on regions with smaller area.我还建议使用
legends
,因为文本可能会在面积较小的区域溢出。 You can see here for more on that - Customize Map Legends and Colors in Python您可以在此处查看更多信息 - 在 Python 中自定义 Map 图例和 Colors
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