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無法將 python 資料幀載入到 mysql 中

我正在嘗試將 python 資料幀加載到 mysql 中。它傳回錯誤「處理格式參數失敗;Python『時間戳記』無法轉換為 MySQL 類型」。我不確定它是關於什麼的。

import pandas as pd
from datetime import date
import mysql.connector
from mysql.connector import Error
def priceStock(tickers):
  today = pd.to_datetime("today").strftime("%Y-%m-%d")
  for ticker in tickers:
    conn = mysql.connector.connect(host='103.200.22.212', database='analysis_stock', user='analysis_PhamThiLinhChi', password='Phamthilinhchi')
    
    new_record = stock_historical_data(ticker, '2018-01-01', today)
    new_record.insert(0, 'ticker', ticker)
    table = 'priceStock'
    cursor = conn.cursor()
        #loop through the data frame
    for i,row in new_record.iterrows():
    #here %s means string values 
        sql = "INSERT INTO " + table + " VALUES (%s,%s,%s,%s,%s,%s,%s)"

        #đoán chắc là do format time từ python sang sql ko khớp 
        cursor.execute(sql, tuple(row))
        print("Record inserted")
        # the connection is not auto committed by default, so we must commit to save our changes
        conn.commit()
priceStock(['VIC'])

P粉156983446P粉156983446401 天前559

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  • P粉797004644

    P粉7970046442023-09-15 09:11:46

    您可以使用 to_sql to_sql 使用 SQLAlchemy 並且 SQLAlchemy 支援 MySQL,因此下面的程式碼應該可以工作

    import pandas as pd
    from datetime import date
    import mysql.connector
    from mysql.connector import Error
    import sqlalchemy
    
    def priceStock(tickers):
      today = pd.to_datetime("today").strftime("%Y-%m-%d")
      for ticker in tickers:
        conn = sqlalchemy.create_engine('mysql+mysqlconnector://analysis_PhamThiLinhChi:Phamthilinhchi@103.200.22.212')
        # conn = mysql.connector.connect(host='103.200.22.212', database='analysis_stock', user='analysis_PhamThiLinhChi', password='Phamthilinhchi')
        
        new_record = stock_historical_data(ticker, '2018-01-01', today)
        new_record.insert(0, 'ticker', ticker)
        table = 'priceStock'
        # cursor = conn.cursor()
        new_record.to_sql(table, con=conn, if_exists='append')
            #loop through the data frame
        # for i,row in new_record.iterrows():
        # #here %s means string values 
        #     sql = "INSERT INTO " + table + " VALUES (%s,%s,%s,%s,%s,%s,%s)"
    
        #     #đoán chắc là do format time từ python sang sql ko khớp 
        #     cursor.execute(sql, tuple(row))
        #     print("Record inserted")
        #     # the connection is not auto committed by default, so we must commit to save our changes
        #     conn.commit()
    priceStock(['VIC'])

    要查看更新的行,請使用以下程式碼:

    from sqlalchemy import text
    conn = sqlalchemy.create_engine('mysql+mysqlconnector://analysis_PhamThiLinhChi:Phamthilinhchi@103.200.22.212')
    with conn.connect() as con:
       df = con.execute(text("SELECT * FROM priceStock")).fetchall()
       print(df)

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