Question

我是MySQL和熊猫的新手。

我创建了一个随机数据框：

    const tenderTableService : TenderTableService = new TenderTableService();
    const tenderList= tenderTableService.fetchOngoingTenders();
    console.log(tenderList); // -> Promise { <state>: "pending" }

我想将其插入我的本地MySQL数据库：

data_frame = pd.DataFrame(np.random.randint(
    0, 100, size=(100, 4)), columns=list('ABCD'))

db = mysql.connector.connect(host="localhost",
                             user='root',
                             password='pw123',
                             database='analytics',
                             port='3307',
                             auth_plugin='mysql_native_password')

但是我得到一个错误

data_frame.to_sql(name='test',
                  con=db, if_exists='append', index=False)

如果我使用sqlalchemy：

pandas.io.sql.DatabaseError: Execution failed on sql 'SELECT name FROM sqlite_master WHERE type='table' AND name=?;': Not all parameters were used in the SQL statement

我收到此错误：

engine = create_engine("mysql://root:pw123@localhost/analytics")
con = engine.connect()
df = pd.DataFrame(['A', 'B'], columns=['new_tablecol'])
df.to_sql(name='new_table', con=con, if_exists='append')
con.close()

我知道我使用的是正确的密码。此时，我不知道如何将数据框插入本地数据库。

谢谢您的帮助。

Answer 1

最终使用：

def get_report(analytics):
  """Queries the Analytics Reporting API V4.

  Args:
    analytics: An authorized Analytics Reporting API V4 service object.
  Returns:
    The Analytics Reporting API V4 response.
  """
  return analytics.userActivity().search(
     body = {
    "viewId": VIEW_ID,
    "user": {
        "type": "CLIENT_ID",
        "userId": "310383817.1547668323"
    },
    "dateRange": {
        "startDate": "2019-01-30",
        "endDate": "2019-02-01",
    }
}
  ).execute()
´´´

必须导入

coffee-rails

然后最终在我的cronjobs中将to_csv替换为to_sql：

import pandas as pd
import numpy as np
from sqlalchemy import create_engine

engine = create_engine(
    'mysql+pymysql://root:password@localhost:3307/analytics')
data_frame = pd.DataFrame(np.random.randint(
    0, 100, size=(100, 4)), columns=list('ABCD'))
data_frame.to_sql('new', con=engine)

哪个工作正常。

我正在尝试将数据帧插入本地MySQL数据库

1 个答案: