Python空间数据热图 [英] Heat Map of Spatial Data in Python

问题描述

我正在编写Python代码.我的数据集由三列组成，第一列是坐标，第三列是热量估算

Im am writing a Python Code. My dataset is composed of three columns, the firs two are the coordinates, and the third is a heat estimation

                   X              Y      heat
0      497935.000000  179719.000000  0.048428
1      497935.000000  179719.000000  0.029399
2      497935.000000  179719.000000  0.066734
3      497935.000000  179719.000000  0.065524
4      497935.000000  179719.000000  0.062458
5      497935.000000  179719.000000  0.032225
6      497935.000000  179719.000000  0.028557
7      497463.000000  179526.000000  0.000388
8      497899.000000  179305.000000  0.000733
9      497805.000000  179364.000000  0.000158
10     498264.000000  180349.000000  0.000036
11     498020.000000  179602.000000  0.003149
...              ...            ...       ...

我想在XY平面上绘制数据，为每个点分配颜色并反映其热值.目前，我尝试使用命令

I would like to plot the data in the XY plane, assigning a colour to each point with reflects its heat value. For the moment I tried with the command

plt.scatter(df.X，df.Y)

plt.scatter(df.X, df.Y)

但是在Python中，每个点的颜色都取决于其热量.在此先感谢

but where every dot has a colour with depends on its heat, in Python. Thanks in Advance

推荐答案

来自文档:

关键字c可以作为列的名称来提供，以为每个点提供颜色:

The keyword c may be given as the name of a column to provide colors for each point:

In [64]: df.plot.scatter(x='a', y='b', c='c', s=50);

因此，您需要做的只是简单地指定 heat 列包含有关每个点颜色的信息:

So what you need to do is to simply specify that the heat column contains the information about each point's color:

df.plot.scatter(x=data.X, y=data.Y, c=data.heat)

如果要应用自定义颜色贴图，还可以使用 cmap 参数，该参数允许您指定其他

If you want to apply a custom color map, there is also the cmap parameter, allowing you to specify a different color map

您还可以在文档中阅读有关 scatter()<的更多信息方法.

You can also read more about in in the docs for the scatter() method.

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