Easily connect Pandas and MongoDB in Python

.env

# for security reasons this file must be added to your .gitignore file
MONGO_HOST=<my_host_name_or_address>
MONGO_PORT=27017
MONGO_DB=<my_database>
MONGO_USER=<my_user>
MONGO_PASSWORD=<my_password>

mongo_connect.py

# You may connect to mongodb and do all operations using only the following 2 functions:
# - get_collection and read_mongo
import pandas as pd
from pymongo import MongoClient
import settings

def _connect_mongo(host=settings.MONGO_HOST, port=settings.MONGO_PORT,
        username=settings.MONGO_USER, password=settings.MONGO_PASSWORD, db=settings.MONGO_DB):
    """ A util for making a connection to mongo """
    if username and password:
        mongo_uri = 'mongodb://%s:%s@%s:%s/%s' % (username, password, host, port, db)
        conn = MongoClient(mongo_uri)
    else:
        conn = MongoClient(host, port)
    return conn[db]


def get_collection(collection, host=settings.MONGO_HOST, port=settings.MONGO_PORT, 
                   username=settings.MONGO_USER, password=settings.MONGO_PASSWORD, db=settings.MONGO_DB):
    db = _connect_mongo(host=host, port=port, username=username, password=password, db=db)
    return db[collection]

def read_mongo(collection, filter_={}, projection={}, host=settings.MONGO_HOST, port=settings.MONGO_PORT, 
                   username=settings.MONGO_USER, password=settings.MONGO_PASSWORD, db=settings.MONGO_DB, no_id=True):
    """ Read from Mongo and Store into DataFrame """

    my_collection = get_collection(collection, host=host, port=port, username=username, password=password, 
                                   db=settings.MONGO_DB)

    # Make a query to the specific DB and Collection
    cursor = my_collection.find(filter_, projection)

    # Expand the cursor and construct the DataFrame
    df =  pd.DataFrame(list(cursor))

    # Delete the _id
    if no_id:
        del df['_id']
    
    if '__v' in df:
        del df['__v']

    return df

save_pandas_df_to_mongo_example.py

...
my_collection = get_collection('my_collection')
dict_ = my_df.to_dict(orient='records')
result = my_collection.insert_many(dict_)
...

settings.py

# dependency: module python-dotenv
# variables must be stored in .env file
# more information in: https://pypi.org/project/python-dotenv/
from dotenv import load_dotenv
import os

load_dotenv()
MONGO_HOST = os.getenv("MONGO_HOST")
MONGO_PORT = os.getenv("MONGO_PORT")
MONGO_DB = os.getenv("MONGO_DB")
MONGO_USER = os.getenv("MONGO_USER")
MONGO_PASSWORD = os.getenv("MONGO_PASSWORD")