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python mongo to csv use pandas.
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# @Author: xiewenqian <int> | |
# @Date: 2016-11-28T20:35:09+08:00 | |
# @Email: [email protected] | |
# @Last modified by: int | |
# @Last modified time: 2016-12-01T19:32:48+08:00 | |
import pandas as pd | |
from pymongo import MongoClient | |
def _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 and '_id' in df: | |
del df['_id'] | |
return df | |
if __name__ == '__main__': | |
df = read_mongo('db_test', 'db_collection', {}, '172.168.203.174', 10800) | |
df.to_csv('1.csv', index=False) |
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