Programmer Group

1, Classified scatter diagram 1.stripplot Function: seaborn.stripplot Common parameters: x,y,hueReceive the variable name in data to represent the selected drawing variable, hue pass in the classification variable to classify the color.dataReceive DataFrame, array, list and series to represent the data set used for drawing.order,order_hueRe ...

Level 1: Statistics of user churn Task description This task: according to the user behavior data, write MapReduce program to count the loss of users. Relevant knowledge This training is an intermediate difficulty MapReduce programming exercise, which simulates the statistical analysis of e-commerce data in real scenes. Therefore, it is ...

How important are process threads? At the beginning of learning Python, you may not feel it, because the code you write can be executed from top to bottom, but in fact, it is very elementary. In order to make full use of the computer configuration to speed up the program progress, we often use multi process and multi thread when actually develo ...

Recursive function Recursive function is to define a function, and then call this function within the function There must be an end in the recursive function, or it will be called one by one until more layers are called and the stack overflows A recursive function is an entry layer by layer and a return layer by layer Preliminary underst ...

1. What is the Linux three swordsman First of all, we want to know what the Linux three swordsmen are? The first tool is grep, which performs pattern pattern in each file or matching line, that is, searches the content according to the regular expression and prints it out The second tool is awk, which is abbreviated by three authors (aho, Kern ...

1. Model construction 1.1 get modeling data #Read raw data train = pd.read_csv('train.csv') #Read cleaned data set data = pd.read_csv('clear_data.csv') 1.2 select appropriate model Before model selection, we need to know whether the data set is finally supervised learning or unsupervised learning Machine learning is mainly divided into ...

Originally, I was going to go directly to the actual combat. Later, I thought, I'd better finish the necessary things first. Otherwise, many things in the actual combat will be confused and it will be troublesome to talk recursively. This article is the last content explanation of pandas. The three connected together should be enough to deal w ...

Key points of data mapping 3 - spaghetti map Broken line diagrams with too many lines usually become unreadable. This kind of diagram is generally called spaghetti diagram. Therefore, this kind of chart can hardly provide information about the data. Drawing example Let's take the evolution of female baby names in the United States from 1 ...

Zero, write in front First of all, it is purely entertainment, and there are many loose places!!           Mankiw's macroeconomics mentioned an example when talking about the CPI (consumer price index), that is, avatar ranked first at the box office with us $761 million at that time, but after considering inflation, a ...

1, Introduction to KMeans algorithm: K in the name of KMeans algorithm represents the number of categories, and Means represents the mean value of samples in each category. Therefore, KMeans algorithm is also called k-Means algorithm. KMeans algorithm takes distance as the measure of similarity between samples, and assigns samples with similar ...