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This article mainly shows you "how to read Excel in pyecharts and generate analysis diagram", the content is easy to understand, clear, hope to help you solve your doubts, the following let the editor lead you to study and learn "how to read Excel in pyecharts and generate analysis diagram" this article.

Import data

# Import required library file import numpy as npimport pandas as pdfrom pyecharts import Bar# Import excel data data=pd.DataFrame (pd.read_excel ('data.xlsx',header=0, encoding='utf-8'))

View data dimensions, 28 rows, two columns

View the names of two-column fields

Preview the first five lines of the data

XQuery y is the two sets of data needed for drawing.

Pyecharts drawing is very concise.

Tip:

Is_convert=True is the key to the conversion of XBY horizontal and vertical axes.

Mark_point= ["max", "min"] is used to display the most value label

Mark_line= ["average"] is used to display the average line

Combined with the content of the previous article (the screenshot below is the effect of the previous article), you can try to read the Excel file with Python and generate the echart dynamic diagram.

The above is all the contents of the article "how to read Excel and generate Analysis Diagram in pyecharts". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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