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python visual chart analysis -- the use of pyecharts Library preface pyecharts Official website https://pyecharts.org/ Simple API design, smooth use, and support chain call Includes 30 + common charts, everything Support mainstream Notebook environment, Jupyter Notebook and jupyterab It can be easily integrated into mainstream Web framework ...

Chapter 3. Scales, Axes and Lines This chapter introduces the processing of various scales, coordinate axes and the use of broken lines. As mentioned at the beginning, a basic problem to consider when drawing visual charts is how to present the actual data values on the page in an appropriate proportion of pixel size and color. D3 has done a ...

Taobao user behavior analysis project Note: the project passes the Jupiter notebook. Third party libraries such as pandas, numpy, matplotlib and seaborn are used to analyze the data in different dimensions. 1, Project background Taking Taobao app platform as the data set, this data report analyzes the behavior of Taobao users through industr ...

1. Topic analysis The Metropolis sampling method of random walk is used to generate the random number of standard Laplace distribution, in which the normal distribution is used to generate the increment, compare the differences of chains generated by different variances of the proposed distribution, and compare the receiving probability of eac ...

Introduction to this article The Dragon Boat Festival is coming. How about traveling? Go home? Visit relatives and friends? You have to bring zongzi. Then: What brand of zongzi do you choose?What flavor of zongzi do you choose?What price range to choose? This year, Huang climbed the "zongzi data" on jd.com in Python to analyze it ...

Chapter 3. Scales, Axes and Lines (continued: Getting Started with D3: a pit filling journey (V): Chapter 3 (Part 1)) Example 2: draw a comparison diagram of the average daily flow of turnstiles at two locations The turnstile here refers to the turnstile of the gate in and out of the subway station in New York. If one person passes, the nu ...

**Review: * * after reviewing the first chapter, we have a basic understanding of the Titanic data and some basic statistical methods. In the second chapter, we learned the data cleaning and reconstruction to make the data easier to understand; Today we are going to learn section 3 of Chapter 2: data visualization. We mainly introduce the Pytho ...

preface This article actually belongs to: Advanced way of Python [AIoT phase I] This paper introduces Matplotlib data visualization, and will send a separate article on advanced Matplotlib data visualization and advanced Matplotlib data visualization for readers to learn. In data analysis and machine learning, we often use a lot of visu ...

Welcome to pay attention Column of "pandas_alive drawing dynamic map of competition" , continuously updating Welcome to pay attention Column of "pandas_alive drawing dynamic map of competition" , continuously updating Resource file download: Column learning instructions (configured venv virtual environment + take ...

Welcome to pay attention Column of "pandas_alive drawing dynamic map of competition" , continuously updating Welcome to pay attention Column of "pandas_alive drawing dynamic map of competition" , continuously updating Resource file download: Column learning instructions (configured venv virtual environment + take ...