


Example of python implementing requests to send/upload multiple files
This article mainly introduces examples of how to implement requests in Python to send/upload multiple files. It has a certain reference value. Now I share it with you. Friends in need can refer to it
1. Required environment
Python2.X
Requests library
2. Single field sending a single file
There is only one interface for sending files in requests, which is to use the files parameter of requests.post. The request form is as follows:
url = "http://httpbin.org/post" data = None files = { ... } r = requests.post(url, data, files=files)
This files parameter can accept many forms of data. The two most basic forms are:
Dictionary type
Tuple list type
2.1 , Dictionary type files parameter
The officially recommended dictionary parameter format is as follows:
{ "field1" : ("filename1", open("filePath1", "rb")), "field2" : ("filename2", open("filePath2", "rb"), "image/jpeg"), "field3" : ("filename3", open("filePath3", "rb"), "image/jpeg", {"refer" : "localhost"}) }
The key of this dictionary is to send a post The field name when requesting, and the value of the dictionary describes the information of the file to be sent; as can be seen from the above, the value can be a 2-tuple, 3-tuple or 4-tuple;
of this tuple The meaning of each field is:
("filename", "fileobject", "content-type", "headers")
By default, the default value
In addition to the above usage form, in fact, requests It still supports a more concise parameter form, as follows
{ "field1" : open("filePath1", "rb")), "field2" : open("filePath2", "rb")), "field3" : open("filePath3", "rb")) }
The equivalent effect of this form of parameter is as follows, where filename is the file name of filepath:
{ "field1" : ("filename1", open("filePath1", "rb")), "field2" : ("filename2", open("filePath2", "rb")), "field3" : ("filename3", open("filePath3", "rb")) }
Of course, you can also send a file request like this
{ "field1" : open("filePath1", "rb").read()) }
The value of filename here For field1
2.2, files parameter of tuple list type
In fact, the form of tuple list is basically the same as that of dictionary, except for the outermost packaging. ; And inside requests, the dictionary parameter form will eventually be converted into a tuple column form. The usage recommended by the official website is as follows:
[ ("field1" : ("filename1", open("filePath1", "rb"))), ["field2" : ("filename2", open("filePath2", "rb"), "image/jpeg")], ("field3" : ("filename3", open("filePath3", "rb"), "image/jpeg", {"refer" : "localhost"})) ]
The sub-items in the list can be tuples or lists; the form of introduction is also supported here, as follows:
[ ("field1" : open("filePath1", "rb"))), ##filename 使用的是filepath的文件名 ("field2" : open("filePath2", "rb").read())) ##filename 使用的是键值,即 field2 ]
3. Send multiple files in a single field [that is, when uploading files, set it to multiple selection]
3.1. Dictionary parameter format
{ "field1" : [ ("filename1", open("filePath1", "rb")), ("filename2", open("filePath2", "rb"), "image/png"), open("filePath3", "rb"), open("filePath4", "rb").read() ] }
3.2. Tuple list format
[ ("field1" , ("filename1", open("filePath1", "rb"))), ("field1" , ("filename2", open("filePath2", "rb"), "image/png")), ("field1" , open("filePath3", "rb")), ("field1" , open("filePath4", "rb").read()) ]
For requests sent in the above two forms, all files will be under the same field. The background service can obtain all file objects from the field1 field
4. Send common data fields at the same time
#The above describes the use of sending file content requests, and sometimes we also send files while sending It is necessary to send ordinary data fields. At this time, the ordinary data fields can be directly stored in the data parameter, as follows:
data = {"k1" : "v1"} files = { "field1" : open("1.png", "rb") } r = requests.post("http://httpbin.org/post", data, files=files)
Related recommendations:
Python implements a super simple video object extraction function
Python implements an example of pinging a specified IP
The above is the detailed content of Example of python implementing requests to send/upload multiple files. For more information, please follow other related articles on the PHP Chinese website!

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

WebStorm Mac version
Useful JavaScript development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Atom editor mac version download
The most popular open source editor