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In daily data analysis, it is often necessary to divide the data into different groups according to a certain (multiple) field for analysis. For example, in the field of e-commerce, the total sales of the country are divided according to provinces, and the changes of sales in provinces are analyzed. In the field of social networking, users are ...

preface After a month, let's try to play a wave of Snake games automatically with the help of Hamilton ring. Let's start happily~ development tool **Python version: * * 3.6.4 Related modules: pygame module; And some python built-in modules. Environment construction Install Python and add it to the environment variable. pip can install t ...

summary KMeans is an unsupervised learning method. He is a classification algorithm. It is used to explore the original data and classify the samples with the same attributes in the original data. This article only talks about the simple use of KMeans. For the content about the evaluation results, see my next article. Several concepts in ...

1 Preface Hi, everyone, this is senior student Dan Cheng. Today I'd like to introduce a project to you Emotional analysis of film review based on GRU You can use it for graduation design Bi design help, problem opening guidance, technical solutions 🇶746876041 2 project introduction This example will analyze and visualize the meteorol ...

The tree structure is implemented through QTreeWidget and qtreewidgettitem classes, in which qtreewidgettitem class implements the addition of nodes. QTreeWidget is a hierarchical nested structure. The outer and inner layers of a tree structure have similar structures. It is often used to represent a data structure with one upper layer and mult ...

The table control also has a QTableWidget, which inherits from QTableView. The main difference between QTableWidget and QTableView is that QTableView can use custom data model to display content, while QTableWidget can only use standard data model, and its cell data is realized through qtablewidgettitem object. In general, using QTableWidget ca ...

Welcome to focus on Python, data analysis, data mining and fun tools! In recent years, Python visualization libraries have emerged one after another. From Matplotlib to pyechards, data visualization is also widely used, which can be almost applied to various fields such as natural science, engineering technology, finance, communication and c ...

Point, knock on the blackboard First of all, this paper follows the traditional teaching, point to point! Only some functions or processing methods that are frequently used by individuals are introduced.The examples in this article are only used for demonstration. Generally, the examples do not modify the original data. If the code will modif ...

Zero basis entry financial risk control - loan default forecast 1, Competition data The task of the competition is to predict whether users default on their loans. The data set can be seen and downloaded after registration. The data comes from the loan records of A credit platform. The total amount of data exceeds 120w, including 47 columns o ...

1. Outlier definition In statistics, outliers are data points that do not belong to a specific population, and are abnormal observations far away from other values. Outliers are observations different from other well structured data. For example, you can clearly see the outliers in this list: [20,24,22,19,29,184300,30,18] It is easy to i ...