How to import data from mongodb to pandas?

问题:

I have a large amount of data in a collection in mongodb which I need to analyze. How do i import that data to pandas?

I am new to pandas and numpy.

EDIT: The mongodb collection contains sensor values tagged with date and time. The sensor values are of float datatype.

Sample Data:

{ "_cls" : "SensorReport", "_id" : ObjectId("515a963b78f6a035d9fa531b"), "_types" : [     "SensorReport" ], "Readings" : [     {         "a" : 0.958069536790466,         "_types" : [             "Reading"         ],         "ReadingUpdatedDate" : ISODate("2013-04-02T08:26:35.297Z"),         "b" : 6.296118156595,         "_cls" : "Reading"     },     {         "a" : 0.95574014778624,         "_types" : [             "Reading"         ],         "ReadingUpdatedDate" : ISODate("2013-04-02T08:27:09.963Z"),         "b" : 6.29651468650064,         "_cls" : "Reading"     },     {         "a" : 0.953648289182713,         "_types" : [             "Reading"         ],         "ReadingUpdatedDate" : ISODate("2013-04-02T08:27:37.545Z"),         "b" : 7.29679823731148,         "_cls" : "Reading"     },     {         "a" : 0.955931884300997,         "_types" : [             "Reading"         ],         "ReadingUpdatedDate" : ISODate("2013-04-02T08:28:21.369Z"),         "b" : 6.29642922525632,         "_cls" : "Reading"     },     {         "a" : 0.95821381,         "_types" : [             "Reading"         ],         "ReadingUpdatedDate" : ISODate("2013-04-02T08:41:20.801Z"),         "b" : 7.28956613,         "_cls" : "Reading"     },     {         "a" : 4.95821335,         "_types" : [             "Reading"         ],         "ReadingUpdatedDate" : ISODate("2013-04-02T08:41:36.931Z"),         "b" : 6.28956574,         "_cls" : "Reading"     },     {         "a" : 9.95821341,         "_types" : [             "Reading"         ],         "ReadingUpdatedDate" : ISODate("2013-04-02T08:42:09.971Z"),         "b" : 0.28956488,         "_cls" : "Reading"     },     {         "a" : 1.95667927,         "_types" : [             "Reading"         ],         "ReadingUpdatedDate" : ISODate("2013-04-02T08:43:55.463Z"),         "b" : 0.29115237,         "_cls" : "Reading"     } ], "latestReportTime" : ISODate("2013-04-02T08:43:55.463Z"), "sensorName" : "56847890-0", "reportCount" : 8 }

回答1:

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

import pandas as pd from pymongo import MongoClient   def _connect_mongo(host, port, username, password, db