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This article mainly introduces "how to use Python to achieve visual dynamic bus route map". In daily operation, I believe that many people have doubts about how to use Python to achieve visual dynamic bus route map. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubt of "how to use Python to achieve visual dynamic bus route map". Next, please follow the editor to study!

Access to the application (AK) is the key we need this time.

Second, collate the bus geographic data

The bus geographic data is a bit tricky, and the official figures from echarts look like this:

It looks like a password. it's a big head.

Have no choice but to take a look at the official code:

GetJSON (uploadedDataURL, function (data) {var hStep = 300 / (data.length-1); var busLines = [] .concat.apply ([], data.map (function (busLine, idx) {var prevPt; var points = []; for (var I = 0; I)

0) {pt = [prevPt [0] + pt [0], prevPt [1] + pt [1]];} prevPt = pt; points.push ([pt [0] / 1e4, pt [1] / 1e4]) } return {coords: points, lineStyle: {normal: {color: echarts.color.modifyHSL ('# 5A94DFF, Math.round (hStep * idx))}

This is a piece of java code, if you don't understand it, don't read it. It roughly means dividing the data by 10000, and then adding odd digits and even digits in turn on the list. Pairwise groups are the geographical coordinates of each bus stop, and each list represents a line.

Use python to implement the above process, the code is as follows:

Import jsonwith open as f: datas=json.load (f) result= [] for data in datas: data = [float (I / 10000) for i in data] a = [] for i in range (2 data): data [I] = data [I-2] + data [I] data [I] = data [I-1] + data [I-1] a.append ([data [I]) Data [iTun1]]) result.append (a)

It seems that there is less code in python.

3. Drawing

Here are two ways for you to do this.

1. With a map background

BAIDU_MAP_AK = "enter your own key" c = (BMap (init_opts=opts.InitOpts (width= "1200px", height= "800px")) .add _ schema (baidu_ak=BAIDU_MAP_AK, center= [116.40, 40.04], zoom=10, is_roam=True,) .add (", type_=" lines ", is_polyline=True, data_pair=result Linestyle_opts=opts.LineStyleOpts (opacity=0.2, width=0.5,color='red'), # if it is not the latest version, you can comment on the following parameters (progressive=200, progressive_threshold=500,)) c.render_notebook ()

two。 Without a map background.

BAIDU_MAP_AK = "enter your own key" c = (BMap (init_opts=opts.InitOpts (width= "1200px", height= "800px")) .add _ schema (baidu_ak=BAIDU_MAP_AK, center= [116.40, 40.04], zoom=10, is_roam=True Map_style= {"styleJson": [{"featureType": "water", "elementType": "all", "stylers": {"color": "# 031628"},} "omit part of the embellishment code") .add (", type_=" lines ", is_polyline=True, data_pair=result, linestyle_opts=opts.LineStyleOpts (opacity=0.2, width=0.5,color='red'), # if it is not the latest version, you can comment on the following parameter (the effect is not very different) progressive=200 Progressive_threshold=500,) c.render_notebook ()

At this point, the study on "how to use Python to achieve visual dynamic bus route map" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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