Shulou(Shulou.com)06/02 Report--

In this issue, the editor will bring you about how to use Python to draw maps of China to achieve data visualization of various provinces. The article is rich in content and analyzes and describes for you from a professional point of view. I hope you can get something after reading this article.

Step 1: install pyecharts

Pyecharts is a powerful data visualization tool that combines python with echarts. Version 0.1.9.4 is used in this article.

Pip install pyecharts==0.1.9.4

Step 2: read the data

My data is in the Excel table, as shown below:

Execel data

Use xlrd (not installed via pip install xlrd) to read data in Excel tables

# the first way, use xlrd to read the data in the Execel table data = xlrd.open_workbook ('data.xlsx') table = data.sheet_by_name (' Sheet1') province = table.col_values (0) [1:] num = table.col_values (1) [1:]

If you do not have a corresponding Execel file and do not want to create a new one, simply define a dictionary, where the key is the province, the value is the corresponding number, and then take out the corresponding value

# the second way is to write your own dictionary directly Then take out the corresponding data province_distribution = {'Sichuan': 239.0, 'Zhejiang': 231.0, 'Fujian': 203.0, 'Jiangsu': 185.0, 'Hunan': 152.0, 'Shandong': 131.0, 'Anhui': 100.0, 'Guangdong': 89.0,87.0,84.0,75.0 for Jilin Shanghai: 70.0, Jiangxi: 64.0, Guangxi: 64.0, Guizhou: 64.0, Beijing: 63.0, Yunnan: 53.0, Chongqing: 49.0, Henan: 48.0, Shaanxi: 38.0, Shanxi: 37.0, Liaoning: 33.0 'Xinjiang': 25.0, 'Inner Mongolia': 23.0, 'Heilongjiang': 20.0, 'Tianjin': 19.0, 'Gansu': 13.0, 'Hainan': 9.0, 'Qinghai': 7.0,4.0,0.0} provice = list (province_distribution.keys ()) num = list (province_distribution.values ())

Step 3: draw a picture

ChinaMap = Map (width=1200, height=600) chinaMap.add (name= "Distribution quantity", attr=province, value=num, visual_range= [0,239], maptype='china', is_visualmap=True) chinaMap.render (path= "Map of China .html")

The parameter name refers to the title displayed directly above the map

Attr is a list containing the names of provinces

Value is a list of corresponding values for each province.

Visual_range refers to the range of values in the entire data.

Maptype refers to the type of map.

Is_visualmap represents whether the color is displayed.

At this point, a file named "Map of China .html" will be generated, which will be opened as shown below:

No province name map

If you want to save as a picture, you can click the download button on the right side of the map, because it is far away, I did not record the download button when I recorded the screen, but you will definitely see it on your computer.

Step 4: further optimization

You can see that the names of the provinces in the above picture can only be displayed if they are selected by the mouse, and the saved picture will not show the names of the provinces. If you want to display the names of the provinces, you need to modify the html file. It is recommended to use notepad++ (a text editing software that goes directly to Baidu for download and upload, very simple) to open the "map of China .html" file. Then add "label": {"normal": {"show": true} to the series on line 1923 and save it as follows:

Modify the html file

Then open the "Map of China .html" file, and you can see the names of the provinces, as shown below:

The above is how to use Python to draw maps of China to achieve the visualization of provincial data. If you happen to have similar doubts, please refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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