Python MongoDB Integeration with Examples

You can download a free MongoDB database at https://www.mongodb.com.

Install the python mangodb driver:
C:\Users\Nethra>python -m pip install pymongo
Collecting pymongo
  Downloading https://files.pythonhosted.org/packages/92/d2/6993655f5c46755cf3385ef8cec78f49909e035777724a0bf02251de733f/pymongo-3.8.0-cp37-cp37m-win32.whl (312kB)
    100% |████████████████████████████████| 317kB 729kB/s
Installing collected packages: pymongo
Successfully installed pymongo-3.8.0
You are using pip version 19.0.3, however version 19.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.

Creating a Database
Important: In MongoDB, a database is not created until it gets content!
Python 3.7.3 (v3.7.3:ef4ec6ed12, Mar 25 2019, 21:26:53) [MSC v.1916 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb=myclient["mydatabase"]
Check if Database Exists
>>> print(myclient.list_database_names())
['admin', 'config', 'local']
>>> dblist=myclient.list_database_names()
>>> if "mydatabase" in dblist:
...     print("The database exists.")

Create a collection:
A collection in MongoDB is the same as a table in SQL databases.
Important: In MongoDB, a collection is not created until it gets content!
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol=mydb["customes"]
>>> print(mydb.list_collection_names())
[]
>>> collist=mydb.list_collection_names()
>>> if "customers" in collist:
...     print("The collection exists")

Insert Into Collection
A document in MongoDB is the same as a record in SQL databases
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> mydict = { "name": "John", "address": "Highway 37" }
>>> x=mycol.insert_one(mydict)
Return the _id Field
>>> x = mycol.insert_one(mydict)
>>> print(x.inserted_id)
5cc74f3ae1ceb9d5e0930979

Insert Multiple Documents
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>>
>>> mylist = [
...   { "name": "Amy", "address": "Apple st 652"},
...   { "name": "Hannah", "address": "Mountain 21"},
...   { "name": "Michael", "address": "Valley 345"},
...   { "name": "Sandy", "address": "Ocean blvd 2"},
...   { "name": "Betty", "address": "Green Grass 1"},
...   { "name": "Richard", "address": "Sky st 331"},
...   { "name": "Susan", "address": "One way 98"},
...   { "name": "Vicky", "address": "Yellow Garden 2"},
...   { "name": "Ben", "address": "Park Lane 38"},
...   { "name": "William", "address": "Central st 954"},
...   { "name": "Chuck", "address": "Main Road 989"},
...   { "name": "Viola", "address": "Sideway 1633"}
... ]
>>>
>>> x = mycol.insert_many(mylist)
>>>
>>> #print list of the _id values of the inserted documents:
... print(x.inserted_ids)

Insert Multiple Documents, with Specified IDs
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>>
>>> mylist = [
...   { "_id": 1, "name": "John", "address": "Highway 37"},
...   { "_id": 2, "name": "Peter", "address": "Lowstreet 27"},
...   { "_id": 3, "name": "Amy", "address": "Apple st 652"},
...   { "_id": 4, "name": "Hannah", "address": "Mountain 21"},
...   { "_id": 5, "name": "Michael", "address": "Valley 345"},
...   { "_id": 6, "name": "Sandy", "address": "Ocean blvd 2"},
...   { "_id": 7, "name": "Betty", "address": "Green Grass 1"},
...   { "_id": 8, "name": "Richard", "address": "Sky st 331"},
...   { "_id": 9, "name": "Susan", "address": "One way 98"},
...   { "_id": 10, "name": "Vicky", "address": "Yellow Garden 2"},
...   { "_id": 11, "name": "Ben", "address": "Park Lane 38"},
...   { "_id": 12, "name": "William", "address": "Central st 954"},
...   { "_id": 13, "name": "Chuck", "address": "Main Road 989"},
...   { "_id": 14, "name": "Viola", "address": "Sideway 1633"}
... ]
>>>
>>> x = mycol.insert_many(mylist)
>>>
>>> #print list of the _id values of the inserted documents:
... print(x.inserted_ids)
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]

Python MongoDB Find(Select)
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>>
>>> x = mycol.find_one()
>>>
>>> print(x)
{'_id': ObjectId('5cc74eebe1ceb9d5e0930978'), 'name': 'John', 'address': 'Highway 37'}

Findall:
>>> import pymongo
>>>
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>>
>>> for x in mycol.find():
...   print(x)
...
{'_id': ObjectId('5cc74eebe1ceb9d5e0930978'), 'name': 'John', 'address': 'Highway 37'}
{'_id': ObjectId('5cc74f3ae1ceb9d5e0930979'), 'name': 'Peter', 'address': 'Lowstreet 27'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097b'), 'name': 'Amy', 'address': 'Apple st 652'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097c'), 'name': 'Hannah', 'address': 'Mountain 21'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097d'), 'name': 'Michael', 'address': 'Valley 345'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097e'), 'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097f'), 'name': 'Betty', 'address': 'Green Grass 1'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930980'), 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930981'), 'name': 'Susan', 'address': 'One way 98'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930982'), 'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930983'), 'name': 'Ben', 'address': 'Park Lane 38'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930984'), 'name': 'William', 'address': 'Central st 954'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930985'), 'name': 'Chuck', 'address': 'Main Road 989'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930986'), 'name': 'Viola', 'address': 'Sideway 1633'}
{'_id': 1, 'name': 'John', 'address': 'Highway 37'}

Return Only Some Fields
>>> for x in mycol.find({},{ "_id": 0, "name": 1, "address": 1 }):
...     print(x)
...
{'name': 'John', 'address': 'Highway 37'}
{'name': 'Peter', 'address': 'Lowstreet 27'}
{'name': 'Amy', 'address': 'Apple st 652'}
{'name': 'Hannah', 'address': 'Mountain 21'}
{'name': 'Michael', 'address': 'Valley 345'}
{'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'name': 'Betty', 'address': 'Green Grass 1'}
{'name': 'Richard', 'address': 'Sky st 331'}
{'name': 'Susan', 'address': 'One way 98'}
{'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'name': 'Ben', 'address': 'Park Lane 38'}
{'name': 'William', 'address': 'Central st 954'}
{'name': 'Chuck', 'address': 'Main Road 989'}
{'name': 'Viola', 'address': 'Sideway 1633'}
{'name': 'John', 'address': 'Highway 37'}
{'name': 'Peter', 'address': 'Lowstreet 27'}
{'name': 'Amy', 'address': 'Apple st 652'}
{'name': 'Hannah', 'address': 'Mountain 21'}
{'name': 'Michael', 'address': 'Valley 345'}
{'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'name': 'Betty', 'address': 'Green Grass 1'}
{'name': 'Richard', 'address': 'Sky st 331'}
{'name': 'Susan', 'address': 'One way 98'}
{'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'name': 'Ben', 'address': 'Park Lane 38'}
{'name': 'William', 'address': 'Central st 954'}
{'name': 'Chuck', 'address': 'Main Road 989'}
{'name': 'Viola', 'address': 'Sideway 1633'}

Excluding the Address:
>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>>
>>> for x in mycol.find({},{ "address": 0 }):
...   print(x)
...
{'_id': ObjectId('5cc74eebe1ceb9d5e0930978'), 'name': 'John'}
{'_id': ObjectId('5cc74f3ae1ceb9d5e0930979'), 'name': 'Peter'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097b'), 'name': 'Amy'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097c'), 'name': 'Hannah'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097d'), 'name': 'Michael'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097e'), 'name': 'Sandy'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097f'), 'name': 'Betty'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930980'), 'name': 'Richard'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930981'), 'name': 'Susan'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930982'), 'name': 'Vicky'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930983'), 'name': 'Ben'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930984'), 'name': 'William'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930985'), 'name': 'Chuck'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930986'), 'name': 'Viola'}
{'_id': 1, 'name': 'John'}
{'_id': 2, 'name': 'Peter'}
{'_id': 3, 'name': 'Amy'}
{'_id': 4, 'name': 'Hannah'}
{'_id': 5, 'name': 'Michael'}
{'_id': 6, 'name': 'Sandy'}
{'_id': 7, 'name': 'Betty'}
{'_id': 8, 'name': 'Richard'}
{'_id': 9, 'name': 'Susan'}
{'_id': 10, 'name': 'Vicky'}
{'_id': 11, 'name': 'Ben'}
{'_id': 12, 'name': 'William'}
{'_id': 13, 'name': 'Chuck'}
{'_id': 14, 'name': 'Viola'}

Filter the Result:
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> myquery = { "address": "Park Lane 38" }
>>> mydoc = mycol.find(myquery)
>>> for x in mydoc:
...   print(x)
...
{'_id': ObjectId('5cc75008e1ceb9d5e0930983'), 'name': 'Ben', 'address': 'Park Lane 38'}
{'_id': 11, 'name': 'Ben', 'address': 'Park Lane 38'}

Advanced Query
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> myquery = { "address": { "$gt": "S" } }
>>> mydoc = mycol.find(myquery)
>>> for x in mydoc:
...   print(x)
...
{'_id': ObjectId('5cc75008e1ceb9d5e093097d'), 'name': 'Michael', 'address': 'Valley 345'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930980'), 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930982'), 'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930986'), 'name': 'Viola', 'address': 'Sideway 1633'}
{'_id': 5, 'name': 'Michael', 'address': 'Valley 345'}
{'_id': 8, 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': 10, 'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'_id': 14, 'name': 'Viola', 'address': 'Sideway 1633'}

Filter With Regular Expressions
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> myquery = { "address": { "$regex": "^S" } }
>>> mydoc = mycol.find(myquery)
>>> for x in mydoc:
...   print(x)
...
{'_id': ObjectId('5cc75008e1ceb9d5e0930980'), 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930986'), 'name': 'Viola', 'address': 'Sideway 1633'}
{'_id': 8, 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': 14, 'name': 'Viola', 'address': 'Sideway 1633'}

Sort the Result:
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> mydoc = mycol.find().sort("name")
>>> for x in mydoc:
...   print(x)
...
{'_id': ObjectId('5cc75008e1ceb9d5e093097b'), 'name': 'Amy', 'address': 'Apple st 652'}
{'_id': 3, 'name': 'Amy', 'address': 'Apple st 652'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930983'), 'name': 'Ben', 'address': 'Park Lane 38'}
{'_id': 11, 'name': 'Ben', 'address': 'Park Lane 38'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097f'), 'name': 'Betty', 'address': 'Green Grass 1'}
{'_id': 7, 'name': 'Betty', 'address': 'Green Grass 1'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930985'), 'name': 'Chuck', 'address': 'Main Road 989'}
{'_id': 13, 'name': 'Chuck', 'address': 'Main Road 989'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097c'), 'name': 'Hannah', 'address': 'Mountain 21'}
{'_id': 4, 'name': 'Hannah', 'address': 'Mountain 21'}
{'_id': ObjectId('5cc74eebe1ceb9d5e0930978'), 'name': 'John', 'address': 'Highway 37'}
{'_id': 1, 'name': 'John', 'address': 'Highway 37'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097d'), 'name': 'Michael', 'address': 'Valley 345'}
{'_id': 5, 'name': 'Michael', 'address': 'Valley 345'}
{'_id': ObjectId('5cc74f3ae1ceb9d5e0930979'), 'name': 'Peter', 'address': 'Lowstreet 27'}
{'_id': 2, 'name': 'Peter', 'address': 'Lowstreet 27'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930980'), 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': 8, 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097e'), 'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'_id': 6, 'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930981'), 'name': 'Susan', 'address': 'One way 98'}
{'_id': 9, 'name': 'Susan', 'address': 'One way 98'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930982'), 'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'_id': 10, 'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930986'), 'name': 'Viola', 'address': 'Sideway 1633'}
{'_id': 14, 'name': 'Viola', 'address': 'Sideway 1633'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930984'), 'name': 'William', 'address': 'Central st 954'}
{'_id': 12, 'name': 'William', 'address': 'Central st 954'}

Sort Descending
sort("name", 1) #ascending
sort("name", -1) #descending 

>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> mydoc = mycol.find().sort("name", -1)
>>>
>>> for x in mydoc:
...   print(x)
...
{'_id': ObjectId('5cc75008e1ceb9d5e0930984'), 'name': 'William', 'address': 'Central st 954'}
{'_id': 12, 'name': 'William', 'address': 'Central st 954'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930986'), 'name': 'Viola', 'address': 'Sideway 1633'}
{'_id': 14, 'name': 'Viola', 'address': 'Sideway 1633'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930982'), 'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'_id': 10, 'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930981'), 'name': 'Susan', 'address': 'One way 98'}
{'_id': 9, 'name': 'Susan', 'address': 'One way 98'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097e'), 'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'_id': 6, 'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930980'), 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': 8, 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': ObjectId('5cc74f3ae1ceb9d5e0930979'), 'name': 'Peter', 'address': 'Lowstreet 27'}
{'_id': 2, 'name': 'Peter', 'address': 'Lowstreet 27'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097d'), 'name': 'Michael', 'address': 'Valley 345'}
{'_id': 5, 'name': 'Michael', 'address': 'Valley 345'}
{'_id': ObjectId('5cc74eebe1ceb9d5e0930978'), 'name': 'John', 'address': 'Highway 37'}
{'_id': 1, 'name': 'John', 'address': 'Highway 37'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097c'), 'name': 'Hannah', 'address': 'Mountain 21'}
{'_id': 4, 'name': 'Hannah', 'address': 'Mountain 21'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930985'), 'name': 'Chuck', 'address': 'Main Road 989'}
{'_id': 13, 'name': 'Chuck', 'address': 'Main Road 989'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097f'), 'name': 'Betty', 'address': 'Green Grass 1'}
{'_id': 7, 'name': 'Betty', 'address': 'Green Grass 1'}
{'_id': ObjectId('5cc75008e1ceb9d5e0930983'), 'name': 'Ben', 'address': 'Park Lane 38'}
{'_id': 11, 'name': 'Ben', 'address': 'Park Lane 38'}
{'_id': ObjectId('5cc75008e1ceb9d5e093097b'), 'name': 'Amy', 'address': 'Apple st 652'}
{'_id': 3, 'name': 'Amy', 'address': 'Apple st 652'}

Delete Document
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> myquery = { "address": "Mountain 21" }
>>> mycol.delete_one(myquery)


Delete Many Documents
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> myquery = { "address": {"$regex": "^S"} }
>>> x = mycol.delete_many(myquery)
>>> print(x.deleted_count, " documents deleted.")
4  documents deleted.

Delete All Documents in a Collection
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> x = mycol.delete_many({})
>>> print(x.deleted_count, " documents deleted.")
23  documents deleted.

Delete collection:
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> mycol.drop()
Update Collection:
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> myquery = { "address": "Valley 345" }
>>> newvalues = { "$set": { "address": "Canyon 123" } }
>>> mycol.update_one(myquery, newvalues)

>>>
>>> #print "customers" after the update:
... for x in mycol.find():
...   print(x)
...
{'_id': ObjectId('5cc7589de1ceb9d5e0930997'), 'name': 'Amy', 'address': 'Apple st 652'}
{'_id': ObjectId('5cc7589de1ceb9d5e0930998'), 'name': 'Hannah', 'address': 'Mountain 21'}
{'_id': ObjectId('5cc7589de1ceb9d5e0930999'), 'name': 'Michael', 'address': 'Canyon 123'}
{'_id': ObjectId('5cc7589de1ceb9d5e093099a'), 'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'_id': ObjectId('5cc7589de1ceb9d5e093099b'), 'name': 'Betty', 'address': 'Green Grass 1'}
{'_id': ObjectId('5cc7589de1ceb9d5e093099c'), 'name': 'Richard', 'address': 'Sky st 331'}
{'_id': ObjectId('5cc7589de1ceb9d5e093099d'), 'name': 'Susan', 'address': 'One way 98'}
{'_id': ObjectId('5cc7589de1ceb9d5e093099e'), 'name': 'Vicky', 'address': 'Yellow Garden 2'}
{'_id': ObjectId('5cc7589de1ceb9d5e093099f'), 'name': 'Ben', 'address': 'Park Lane 38'}
{'_id': ObjectId('5cc7589de1ceb9d5e09309a0'), 'name': 'William', 'address': 'Central st 954'}
{'_id': ObjectId('5cc7589de1ceb9d5e09309a1'), 'name': 'Chuck', 'address': 'Main Road 989'}
{'_id': ObjectId('5cc7589de1ceb9d5e09309a2'), 'name': 'Viola', 'address': 'Sideway 1633'}

Update Many:
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> myquery = { "address": { "$regex": "^S" } }
>>> newvalues = { "$set": { "name": "Minnie" } }
>>> x = mycol.update_many(myquery, newvalues)
>>> print(x.modified_count, "documents updated.")
2 documents updated.

Limit the Result
>>> import pymongo
>>> myclient = pymongo.MongoClient("mongodb://localhost:27017/")
>>> mydb = myclient["mydatabase"]
>>> mycol = mydb["customers"]
>>> myresult = mycol.find().limit(5)
>>> #print the result:
... for x in myresult:
...   print(x)
...
{'_id': ObjectId('5cc7589de1ceb9d5e0930997'), 'name': 'Amy', 'address': 'Apple st 652'}
{'_id': ObjectId('5cc7589de1ceb9d5e0930998'), 'name': 'Hannah', 'address': 'Mountain 21'}
{'_id': ObjectId('5cc7589de1ceb9d5e0930999'), 'name': 'Michael', 'address': 'Canyon 123'}
{'_id': ObjectId('5cc7589de1ceb9d5e093099a'), 'name': 'Sandy', 'address': 'Ocean blvd 2'}
{'_id': ObjectId('5cc7589de1ceb9d5e093099b'), 'name': 'Betty', 'address': 'Green Grass 1'}
>>>