5 recommended articles about the pandas library

This article mainly introduces the relevant information about using the pandas library in Python for cdn log analysis. The article shares the complete sample code of pandas for cdn log analysis, and then introduces the relevant content about the pandas library in detail. Friends who need it You can use it as a reference, let’s take a look below. Preface: Recently, I encountered a need at work, which is to filter some data based on CDN logs, such as traffic, status code statistics, TOP IP, URL, UA, Referer, etc. In the past, the bash shell was used to implement this. However, when the log volume is large, the number of log files is gigabytes, and the number of lines reaches tens of billions, processing through the shell is not enough and the processing time is too long. So I studied the use of Python pandas, a data processing library. Ten million lines of logs are processed in about 40 seconds. Code#!/usr/bin/python # -*- coding: utf-8 -*- #sudo pip install&nbs

1. How to implement cdn log analysis using pandas library

##Introduction: This article mainly introduces the relevant information about using the pandas library in Python for cdn log analysis. The article shares the complete sample code of pandas for cdn log analysis, and then introduces the pandas library in detail Friends who need it can refer to the relevant content. Let’s take a look below.

2. Python code example to analyze cdn logs through pandas library

Introduction: This article mainly introduces the relevant information about using the pandas library in Python for cdn log analysis. The article shares the complete sample code of pandas for cdn log analysis, and then introduces in detail about pandas Friends who need it can refer to the relevant content of the library. Let’s take a look below.

3. Pandas library introduction to DataFrame basic operations

Introduction: How to delete empty characters in list? The simplest method: newlist = [ x for x in li if x != '' ] Today is 5.1. This part mainly studies the basic operations in pandas based on the previous two data structures. 1. View data (the method of viewing objects is also applicable to Series) 1. View the first xx rows or the last xx rows of DataFrame a=DataFrame(data); a.head(6) means displaying the first 6 rows of data, if head( )...

4. Detailed analysis of cdn logs through the pandas library in Python

Introduction: This article mainly introduces the relevant information about using the pandas library in Python for cdn log analysis. The article shares the complete sample code of pandas for cdn log analysis, and then details This article introduces the relevant content about the pandas library. Friends who need it can refer to it. Let’s take a look together.

5. A brief introduction to using the Pandas library to process big data in Python

Introduction: This article is simple This article introduces the process of using Pandas to process big data in Python. The use of the Pandas library can well display the data structure. It is a popular technology that is often used in Python projects recently. Friends who need it can refer to it

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