如何使用python将csv数据推送到mongodb

Question

尝试使用 python 将 csv 数据推送到 mongodb。我是 python 和 mongodb 的初学者。我使用了以下代码

import csv
import json
import pandas as pd
import sys, getopt, pprint
from pymongo import MongoClient
#CSV to JSON Conversion
csvfile = open('C://test//final-current.csv', 'r')
jsonfile = open('C://test//6.json', 'a')
reader = csv.DictReader( csvfile )
header= [ "S.No", "Instrument Name", "Buy Price", "Buy Quantity", "Sell Price", "Sell Quantity", "Last Traded Price", "Total Traded Quantity", "Average Traded Price", "Open Price", "High Price", "Low Price", "Close Price", "V" ,"Time"]
#fieldnames=header
output=[]
for each in reader:
    row={}
    for field in header:
        row[field]=each[field]
    output.append(row)

json.dump(output, jsonfile, indent=None, sort_keys=False , encoding="UTF-8")
mongo_client=MongoClient() 
db=mongo_client.october_mug_talk
db.segment.drop()
data=pd.read_csv('C://test//6.json', error_bad_lines=0)
df = pd.DataFrame(data)
records = csv.DictReader(df)
db.segment.insert(records)

但输出是以这种格式给出的

/* 0 */
{
  "_id" : ObjectId("54891c4ffb2a0303b0d43134"),
  "[{\"AverageTradedPrice\":\"0\"" : "BuyPrice:\"349.75\""
}

/* 1 */
{
  "_id" : ObjectId("54891c4ffb2a0303b0d43135"),
  "[{\"AverageTradedPrice\":\"0\"" : "BuyQuantity:\"3000\""
}

/* 2 */
{
  "_id" : ObjectId("54891c4ffb2a0303b0d43136"),
  "[{\"AverageTradedPrice\":\"0\"" : "ClosePrice:\"350\""
}

/* 3 */
{
  "_id" : ObjectId("54891c4ffb2a0303b0d43137"),
  "[{\"AverageTradedPrice\":\"0\"" : "HighPrice:\"0\""
}

实际上，我希望输出喜欢单个 ID，所有其他字段都应显示为子类型，例如：

 _id" : ObjectId("54891c4ffb2a0303b0d43137")
    AveragetradedPrice :0
    HighPrice:0
    ClosePrice:350
    buyprice:350.75

请帮帮我。提前致谢

Answer 1

感谢您的建议。这是更正后的代码：

import csv
import json
import pandas as pd
import sys, getopt, pprint
from pymongo import MongoClient
#CSV to JSON Conversion
csvfile = open('C://test//final-current.csv', 'r')
reader = csv.DictReader( csvfile )
mongo_client=MongoClient() 
db=mongo_client.october_mug_talk
db.segment.drop()
header= [ "S No", "Instrument Name", "Buy Price", "Buy Quantity", "Sell Price", "Sell Quantity", "Last Traded Price", "Total Traded Quantity", "Average Traded Price", "Open Price", "High Price", "Low Price", "Close Price", "V" ,"Time"]

for each in reader:
    row={}
    for field in header:
        row[field]=each[field]

    db.segment.insert(row)

Answer 2

最简单的方法是使用熊猫我的代码是

import json
import pymongo
import pandas as pd
myclient = pymongo.MongoClient()

df = pd.read_csv('yourcsv.csv',encoding = 'ISO-8859-1')   # loading csv file
df.to_json('yourjson.json')                               # saving to json file
jdf = open('yourjson.json').read()                        # loading the json file 
data = json.loads(jdf)                                    # reading json file 

现在你可以在你的 mangodb 数据库中插入这个 json :-]

Answer 3

为什么要一一插入数据？ 看看这个。

import pandas as pd
from pymongo import MongoClient

client = MongoClient(<your_credentials>)
database = client['YOUR_DB_NAME']
collection = database['your_collection']

def csv_to_json(filename, header=None):
    data = pd.read_csv(filename, header=header)
    return data.to_dict('records')

collection.insert_many(csv_to_json('your_file_path'))

请注意，当文件太大时，它可能会导致您的应用程序崩溃。

Answer 4

假设您的 CSV 中有标题行，则有一种更好的方法可以减少导入次数。

from pymongo import MongoClient
import csv

# DB connectivity
client = MongoClient('localhost', 27017)
db = client.db
collection = db.collection

# Function to parse csv to dictionary
def csv_to_dict():
    reader = csv.DictReader(open(FILEPATH))
    result = {}
    for row in reader:
        key = row.pop('First_value')
        result[key] = row
    return query

# Final insert statement
db.collection.insert_one(csv_to_dict())

希望有帮助

Answer 5

    from pymongo import MongoClient
    import csv
    import json
    # DB connectivity
    client = MongoClient('localhost', 27017)
    db = client["database name"]
    col = db["collection"]
    # Function to parse csv to dictionary
    def csv_to_dict():
        reader = csv.DictReader(open('File with path','r'))
        result = {}
        for row in reader:
            key = row.pop('id')
            result[key]= row
        return result
    
    # Final insert statement
    x=col.insert_one(csv_to_dict())
            print(x.inserted_id)

# to insert one row

#and to insert many rows following code is to be executed
from pymongo import MongoClient
import csv
# read csv file as a list of lists
client = MongoClient('localhost', 27017)
db = client["data base name"]
col = db["Collection Name"]
with open('File with path', 'r') as read_obj:
    # pass the file object to reader() to get the reader object
    csv_reader = csv.DictReader(read_obj)
    # Pass reader object to list() to get a list of lists
    mylist = list(csv_reader)
    #print(list_of_rows)
    x = col.insert_many(mylist)

    #print list of the _id values of the inserted documents:
    print(x.inserted_ids)