Python Mongodb - Delete_many() Last Updated : 12 Jul, 2025 Comments Improve Suggest changes Like Article Like Report MongoDB is a general-purpose, document-based, distributed database built for modern application developers and the cloud. It is a document database, which means it stores data in JSON-like documents. This is an efficient way to think about data and is more expressive and powerful than the traditional table model. Delete_many() Delete_many() is used when one needs to delete more than one document. A query object containing which document to be deleted is created and is passed as the first parameter to the delete_many(). Syntax: collection.delete_many(filter, collation=None, hint=None, session=None) Parameters: ‘filter’ : A query that matches the document to delete.‘collation’ (optional) : An instance of class: ‘~pymongo.collation.Collation’. This option is only supported on MongoDB 3.4 and above.‘hint’ (optional) : An index to use to support the query predicate. This option is only supported on MongoDB 3.11 and above.‘session’ (optional) : a class:’~pymongo.client_session.ClientSession’. Sample Database: Example 1: Deleting all the documents where the name starts with 'A'. Python3 import pymongo client = pymongo.MongoClient("mongodb://localhost:27017/") # Connecting to the database mydb = client["GFG"] # Connecting the to collection col = mydb["Geeks"] query = {"Name": {"$regex": "^A"}} d = col.delete_many(query) print(d.deleted_count, " documents deleted !!") Output: 2 documents deleted !! MongoDB Shell: Example 2: Python3 import pymongo client = pymongo.MongoClient("mongodb://localhost:27017/") # Connecting to the database mydb = client["GFG"] # Connecting the to collection col = mydb["Geeks"] query = {"Class": '3'} d = col.delete_many(query) print(d.deleted_count, " documents deleted !!") Output: 1 documents deleted !! MongoDB Shell: Comment More infoAdvertise with us Next Article Python MongoDB - Find V vidhyasri15101999 Follow Improve Article Tags : Python Python-mongoDB Practice Tags : python Similar Reads Python MongoDB Tutorial MongoDB is a popular NoSQL database designed to store and manage data flexibly and at scale. Unlike traditional relational databases that use tables and rows, MongoDB stores data as JSON-like documents using a format called BSON (Binary JSON). This document-oriented model makes it easy to handle com 2 min read Python MongoDB - IntroductionMongoDB: An introductionMongoDB is the most popular NoSQL open source document-oriented database. The term 'NoSQL' means 'non-relational'. This means that MongoDB is not based on a table like relational database structure but provides an altogether different mechanism for storage and retrieval of data. 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These methods allow you to add new documents or completely replace existing ones based on a matching filter.Syntaxcollection.insert_one(document)collection.insert_many([document1, docume 2 min read MongoDB python | Delete Data and Drop CollectionIn MongoDB, deletion is key to efficient data management. PyMongo offers methods to delete a single document, multiple documents, all documents in a collection or the entire collection itself. Here's a quick overview of these techniques:1. Delete a single document: Use delete_one() to remove only th 2 min read Python Mongodb - Delete_one()Mongodb is a very popular cross-platform document-oriented, NoSQL(stands for "not only SQL") database program, written in C++. It stores data in JSON format(as key-value pairs), which makes it easy to use. MongoDB can run over multiple servers, balancing the load to keep the system up and run in cas 2 min read Python Mongodb - Delete_many()MongoDB is a general-purpose, document-based, distributed database built for modern application developers and the cloud. It is a document database, which means it stores data in JSON-like documents. This is an efficient way to think about data and is more expressive and powerful than the traditiona 2 min read Python MongoDB - FindMongoDB is a cross-platform document-oriented database program and the most popular NoSQL database program. The term NoSQL means non-relational. MongoDB stores the data in the form of key-value pairs. It is an Open Source, Document Database which provides high performance and scalability along with 3 min read Python MongoDB - find_one QueryIn PyMongo, the find_one() method is used to retrieve a single document from a MongoDB collection that matches the given filter. 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If collection is not found then it returns False otherwise it returns True if collection is dropped. Syntax: drop() Example 1: The sample database is as follows:  Python3 import pymongo client = pymongo.MongoClient("mongodb://local 1 min read How to update data in a Collection using Python?MongoDB is a cross-platform, document-oriented database that works on the concept of collections and documents. MongoDB offers high speed, high availability, and high scalability. Updating Data in MongoDB We can update data in a collection using update_one() method and update_many() method.  update 2 min read Get all the Documents of the Collection using PyMongoTo get all the Documents of the Collection use find() method. The find() method takes a query object as a parameter if we want to find all documents then pass none in the find() method. 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It stores the value of a specific field or set of fields whic 2 min read How to create index for MongoDB Collection using Python?Creating indexes in MongoDB improves query performance, especially on large datasets. PyMongo, the official MongoDB driver for Python, provides the create_index() method to define indexes on specific fields. By default, MongoDB indexes the _id field, but adding custom indexes is important for optimi 2 min read Get all the information of a Collection's indexes using PyMongoIn PyMongo, retrieving index information is useful for understanding how queries are optimized and what constraints are applied to a collection. The index_information() method provides metadata about all indexes in a collection, including index names, fields, sort order and options such as uniquenes 2 min read Python MongoDB - drop_index QueryThe drop_index() library function in PyMongo is used to drop the index from a collection in the database, as the name suggests. 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Functions like find() and find_one() returns the Cursor instance. Let's begin: Importing Required Modules: Import the required module using the command: from pymongo import MongoClient from 3 min read Python MongoDB-ExerciseHow to check if the PyMongo Cursor is Empty?MongoDB is an open source NOSQL database, and is implemented in C++. It is a document oriented database implementation that stores data in structures called Collections (group of MongoDB documents). PyMongo is a famous open source library that is used for embedded MongoDB queries. PyMongo is widely 2 min read How to fetch data from MongoDB using Python?MongoDB is a cross-platform, document-oriented database that works on the concept of collections and documents. MongoDB offers high speed, high availability, and high scalability. Fetching data from MongoDB Pymongo provides various methods for fetching the data from mongodb. 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