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How to use PyEcharts to draw a good-looking interactive map, in view of this problem, this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible method.

When it comes to using Python for map visualization, there must be Pyecharts. The editor explores the map visualization that can be realized by Pyecharts to see what the effect is.

First of all, 1Pyecharts-Map would like to introduce the Map () method, which is the most commonly used method in Pyecharts. We generate a nationwide sales distribution map. Of course, we can also use it to make a world map. For example, let's map the number of new confirmed cases around the world. From the picture above, we can clearly see that the number of new confirmed cases in the United States is increasing by tens of thousands of cases every day. Of course, we can also use it to map the local area. Take Shanghai, where the editor is located, for example. The following picture is the distribution map of second-hand housing prices in various areas of Shanghai.

2Pyecharts-Geo after seeing the second-hand housing prices in central Shanghai is like an astronomical figure to ordinary people, we turn our attention to another Geo () method to see how its visualization works. For example, we can look at the number of stores (virtual data) in various cities in Hubei Province. Of course, we can also turn it into a heat map, and change the background color of the map, for example.

Of course, we can not only limit it to a province or a city, but also expand its scope to the whole country. Since the steps and principles are highly similar, we will not repeat them here.

3Pyecharts's route map Pyecharts can generate a flow map of geographical space, which can be used to show the number of flights, population flow, and so on. Take Shanghai as an example, take a look at the flight situation of Shanghai to all parts of the country, 4Pyecharts-BmapBmap, that is, Baidu map. Pyecharts can call the interface of Baidu map to make the result closer to the map we usually use. As shown in the following figure (however, you need to apply for an API KEY from Baidu Map Open platform before using Bmap)

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In general, we can use Geo, Map and BMap to draw maps, and the steps are very similar and simple.

Steps

Description

Code example

1 instance A specific type of object c = Geo () 2 add data to it c.add (xdepartment y) 3 add icons such as title c.set_global_opts (title= ") 4 generate c.render_notebook () in jupyter notebook this is the answer to the question on how to draw a good-looking interactive map with PyEcharts. I hope the above content can be of some help to you, if you still have a lot of doubts unsolved. You can follow the industry information channel for more related knowledge.

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