Question

我正在尝试读取CSV文件并将其插入PostgreSQL数据库。但是我希望第1列和第5列项目为整数。因此，我将第一和第五列转换为整数。但是显示错误

IndexError：列表索引超出范围>

    with open('parts_time.txt') as csvfile:
        readCSV = csv.reader(csvfile, delimiter=',')
        for row in readCSV:

            date_2 = int(row[0])
            date_4 = int(row[4])

            cursor.execute("INSERT INTO parts_time 
            (time_id,time_day,time_month,time_year,vendor_idk)"\
            "VALUES (%s,%s,%s,%s,%s)",
           [date_2,row[1],row[2],row[3],date_4])

Answer 1

仅在其中包含某些内容时，才尝试处理该行：

with open('parts_time.txt') as csvfile:
    readCSV = csv.reader(csvfile, delimiter=',')
    for row in readCSV:
        if row:
            date_2 = int(row[0])
            date_4 = int(row[4])

            cursor.execute("INSERT INTO parts_time 
            (time_id,time_day,time_month,time_year,vendor_idk)"\
            "VALUES (%s,%s,%s,%s,%s)",
            [date_2,row[1],row[2],row[3],date_4])

Answer 2

由于您收到 IndexError ，似乎您的文件包含空行试试这个。

with open('t.txt') as csvfile:
    readCSV = csv.reader(csvfile, delimiter=',')
    for row in readCSV:
        if len(row) != 5:
            continue
        date_2 = int(row[0])
        date_4 = int(row[4])
        cursor.execute("INSERT INTO parts_time (time_id,time_day,time_month,time_year,vendor_idk) VALUES (%s,%s,%s,%s,%s)" % tuple([date_2,row[1],row[2],row[3],date_4]))

Answer 3

您看到的错误是由于csv中的数据不正确。在处理csv文件时，我始终使用pandas。这样，您不必考虑自己面临的问题，它将自动为您解决。与executemany结合使用，将使您的代码运行更快。

import pandas
df = pd.read_csv('parts_time.txt')
df.columns = ['time_id', 'time_day', 'time_month', 'time_year', 'vendor_idk'] # You can skip this line if the column names in csv file matches that in Database
df['time_id'] = df['time_id'].astype(int)
df['vendor_idk'] = df['vendor_idk'].astype(int)
cursor.prepare("insert into parts_time(time_id,time_day,time_month,time_year,vendor_idk) values(:1, :2, :3 ,:4, :5)")
cursor.executemany(None, df.values.tolist())

从CSV文件读取并插入数据库Python

3 个答案: