Last active
March 2, 2021 19:16
-
-
Save wixb50/33f57415a2bfb0f6b5897d290e3c377a to your computer and use it in GitHub Desktop.
python mongo to csv use pandas.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# @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) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment