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&
1. Recommended 5 articles about the 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 relevant information about the pandas library in detail Content, friends in need can refer to it, 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. It used to be implemented using bash shell, but...
2. Implementation method of 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 pandas' analysis of cdn logs. The complete sample code, and then introduces the relevant content of the pandas library in detail. Friends in need can refer to it. Let’s take a look together.
3. 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.
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 introduces in detail about pandas Friends who need it can refer to the relevant content of the library. Let’s take a look below.
The above is the detailed content of 4 recommended articles about cdn logs. For more information, please follow other related articles on the PHP Chinese website!
What are some common reasons why a Python script might not execute on Unix?Apr 28, 2025 am 12:18 AMThe reasons why Python scripts cannot run on Unix systems include: 1) Insufficient permissions, using chmod xyour_script.py to grant execution permissions; 2) Shebang line is incorrect or missing, you should use #!/usr/bin/envpython; 3) The environment variables are not set properly, and you can print os.environ debugging; 4) Using the wrong Python version, you can specify the version on the Shebang line or the command line; 5) Dependency problems, using virtual environment to isolate dependencies; 6) Syntax errors, using python-mpy_compileyour_script.py to detect.
Give an example of a scenario where using a Python array would be more appropriate than using a list.Apr 28, 2025 am 12:15 AMUsing Python arrays is more suitable for processing large amounts of numerical data than lists. 1) Arrays save more memory, 2) Arrays are faster to operate by numerical values, 3) Arrays force type consistency, 4) Arrays are compatible with C arrays, but are not as flexible and convenient as lists.
What are the performance implications of using lists versus arrays in Python?Apr 28, 2025 am 12:10 AMListsare Better ForeflexibilityandMixdatatatypes, Whilearraysares Superior Sumerical Computation Sand Larged Datasets.1) Unselable List Xibility, MixedDatatypes, andfrequent elementchanges.2) Usarray's sensory -sensical operations, Largedatasets, AndwhenMemoryEfficiency
How does NumPy handle memory management for large arrays?Apr 28, 2025 am 12:07 AMNumPymanagesmemoryforlargearraysefficientlyusingviews,copies,andmemory-mappedfiles.1)Viewsallowslicingwithoutcopying,directlymodifyingtheoriginalarray.2)Copiescanbecreatedwiththecopy()methodforpreservingdata.3)Memory-mappedfileshandlemassivedatasetsb
Which requires importing a module: lists or arrays?Apr 28, 2025 am 12:06 AMListsinPythondonotrequireimportingamodule,whilearraysfromthearraymoduledoneedanimport.1)Listsarebuilt-in,versatile,andcanholdmixeddatatypes.2)Arraysaremorememory-efficientfornumericdatabutlessflexible,requiringallelementstobeofthesametype.
What data types can be stored in a Python array?Apr 27, 2025 am 12:11 AMPythonlistscanstoreanydatatype,arraymodulearraysstoreonetype,andNumPyarraysarefornumericalcomputations.1)Listsareversatilebutlessmemory-efficient.2)Arraymodulearraysarememory-efficientforhomogeneousdata.3)NumPyarraysareoptimizedforperformanceinscient
What happens if you try to store a value of the wrong data type in a Python array?Apr 27, 2025 am 12:10 AMWhenyouattempttostoreavalueofthewrongdatatypeinaPythonarray,you'llencounteraTypeError.Thisisduetothearraymodule'sstricttypeenforcement,whichrequiresallelementstobeofthesametypeasspecifiedbythetypecode.Forperformancereasons,arraysaremoreefficientthanl
Which is part of the Python standard library: lists or arrays?Apr 27, 2025 am 12:03 AMPythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
Notepad++7.3.1
Easy-to-use and free code editor
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
SublimeText3 Mac version
God-level code editing software (SublimeText3)
SublimeText3 English version
Recommended: Win version, supports code prompts!
