Having finished with the data retrieval, we can start the preparation of the data structures for further processing. We will load our data into the dataframe model.

Mongo connection object:

client = MongoClient('mongodb://localhost:27017/')
db = client['db']
collection = db['collection']

documents = []
for doc in collection.find():
    documents.append(doc) 

Now, we can create a dataframe object using our documents list:

df = pd.DataFrame(documents) 

So, our data structure is in tabular form, where columns indicate the names of the document nodes and the rows represent the data: