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This article mainly introduces the relevant knowledge of "how Python Pyecharts draws Sanji diagram to analyze user behavior path". The editor shows you the operation process through an actual case. The operation method is simple, fast and practical. I hope this article "how to draw Python Pyecharts diagram to analyze user behavior path" can help you solve the problem.

Sanji diagram, its core is to connect different points through lines. The thickness of the line represents the size of the flow. A lot of tools can achieve Sankey.

Graphs, such as Excel, tableau, we are going to use Pyecharts to draw today.

Since there is no public data related to the user behavior path, this visualization is based on the Titanic, its survival and the victims.

Data to analyze the flow path. Learn to think, and you can also change it to your own company's user behavior and bury some data.

Read data from pyecharts import options as optsfrom pyecharts.charts import Sankeyimport pandas as pddata = pd.read_excel ('/ Users/wangwangyuqing/Desktop/train.xlsx') data

Organize the data structure: parent class → subclass → value

From the parent class to the subclass, every two adjacent classification variables need to be calculated. Using the PivotTable in Pandas, the calculated data is vertically merged into three columns.

Lis = data.columns.tolist () [:-1] lis1 = lis [:-1] lis2 = lis1:] data1 = pd.DataFrame () for i in zip (lis1,lis2): datai = data.pivot_table ('ID',index=list (I), aggfunc='count'). Reset_index () datai.columns= [0mem1m2] data1 = data1.append (datai) data1

Generate node data

All the nodes involved need to be reorganized together. List in the form of nested dictionaries to re-summarize.

# generate nodesnodes = [] # first add several top-level parent nodes nodes.append ({'name':'C port'}) nodes.append ({'name':'Q port'}) nodes.append ({'name':'S port'}) # add other nodes for i in data1 [1] .unique (): dic = {} dic ['name'] = I nodes.append (dic) nodes

Organizing data: defining nodes and traffic

Where does the data flow from, what is the flow (value), loop + dictionary to organize the data

Links = [] for i in data1.values: dic = {} dic ['source'] = I [0] dic [' target'] = I [1] dic ['value'] = I [2] links.append (dic) links

Data visualization c = (Sankey (init_opts=opts.InitOpts (width= "1200px", height= "800px", theme='westeros')) .add ("", nodes=nodes, links=links, linestyle_opt=opts.LineStyleOpts (opacity=0.2, curve=0.5, color= "source"), label_opts=opts.LabelOpts (position= "right") ) .set _ global_opts (title_opts=opts.TitleOpts (title= "Sanji diagram") .render ("/ Users/wangwangyuqing/Desktop/image.html"))

Sanji diagram is one of the effective methods to analyze the user path, which can directly show the user's journey, help us to further determine the key steps in the conversion funnel and discover the user's

Loss point, find valuable user groups, see where users mainly flow, find users' points of interest and neglected product value, and look for new opportunities.

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