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Python Visual Motion Picture sharing

2025-01-19 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >

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This article mainly explains the "Python visual dynamic picture sharing", the content of the article is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "Python visual dynamic picture sharing" bar!

1. Bar chart

Bar chart with color gradient, exquisite and beautiful:

two。 Line chart

A line chart with annotated dots and a sense of technology:

3. Bar chart + line chart

The combination of this bar chart and line chart is so clear that it can be used directly in your project:

4 radar chart

Multi-capability evaluation radar chart, using pyecharts to easily realize the function of carousel:

5 pie chart

Drawing should not only be beautiful, but also practical. The message conveyed by the pie chart below is quite intuitive, using golden and relatively large fonts to tell us the number of each model:

6 diagrams

Describe the relationship between the starting point and other points, the flow diagram, and the line color represents the numerical value, which is applied to visualization scenarios such as network flow:

7 water polo map

To compare several important values, it is a good choice to use a water polo chart, which uses a gradient at the edge of the water polo chart below to give a sense of concavity and convexity:

8 migration diagram

The plane icon is a bright spot. Do you know how to draw it? Save the picture in svg format, extract the path value and combine it:

9 thermal map

With a spaced thermal map, each color block is orderly and clearly visible. Wonderful!

10 Map diagram

According to the Map diagram of the distribution of universities across the country, the blocks with a color close to orange-red indicate the largest number of universities in this province. For details, please refer to the VisualMap bar in the lower left corner:

Thank you for your reading, the above is the content of "Python Visualization Motion Picture sharing". After the study of this article, I believe you have a deeper understanding of the problem of Python Visualization Motion Picture sharing, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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