How to import data from mongodb to pandas?

pymongo might give you a hand, followings are some codes I'm using:

import pandas as pdfrom pymongo import MongoClientdef _connect_mongo(host, port, username, password, 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 read_mongo(db, collection, query={}, host='localhost', port=27017, username=None, password=None, no_id=True):    """ Read from Mongo and Store into DataFrame """    # Connect to MongoDB    db = _connect_mongo(host=host, port=port, username=username, password=password, db=db)    # Make a query to the specific DB and Collection    cursor = db[collection].find(query)    # Expand the cursor and construct the DataFrame    df =  pd.DataFrame(list(cursor))    # Delete the _id    if no_id:        del df['_id']    return df

You can load your mongodb data to pandas DataFrame using this code. It works for me. Hopefully for you too.

import pymongoimport pandas as pdfrom pymongo import MongoClientclient = MongoClient()db = client.database_namecollection = db.collection_namedata = pd.DataFrame(list(collection.find()))

Monary does exactly that, and it's super fast. (another link)

See this cool post which includes a quick tutorial and some timings.