如何才能只打印精确列数大于x的行？Sheets Api with Python

import os
import pickle
import pandas as pd
from google.auth.transport.requests import Request
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build

# 定义要操作的Google Sheets文件的ID和工作表名称
spreadsheet_id = 'your_spreadsheet_id'
sheet_name = 'your_sheet_name'

# 定义要筛选的列数阈值
column_threshold = x

# 定义凭据文件的名称
credentials_filename = 'credentials.json'

# 定义作用域（仅读取Sheets数据）
scopes = ['https://www.googleapis.com/auth/spreadsheets.readonly']

def authenticate():
    creds = None

    # 检查是否已经授权过
    if os.path.exists('token.pickle'):
        with open('token.pickle', 'rb') as token:
            creds = pickle.load(token)
    
    # 如果没有有效的凭据，则通过Web授权进行身份验证
    if not creds or not creds.valid:
        if creds and creds.expired and creds.refresh_token:
            creds.refresh(Request())
        else:
            flow = InstalledAppFlow.from_client_secrets_file(credentials_filename, scopes)
            creds = flow.run_local_server(port=0)
        
        # 保存凭据供下次运行使用
        with open('token.pickle', 'wb') as token:
            pickle.dump(creds, token)
    
    return creds

def main():
    # 身份验证
    creds = authenticate()

    # 创建Sheets API客户端
    service = build('sheets', 'v4', credentials=creds)

    # 获取工作表数据
    sheet = service.spreadsheets()
    result = sheet.values().get(spreadsheetId=spreadsheet_id, range=sheet_name).execute()
    rows = result.get('values', [])

    # 创建新列表来存储满足条件的行数据
    filtered_rows = []

    # 遍历每一行数据
    for row in rows:
        # 计算该行的列数
        num_columns = len(row)

        # 如果列数大于阈值，则将该行添加到新列表中
        if num_columns > column_threshold:
            filtered_rows.append(row)

    # 打印满足条件的行数据
    for row in filtered_rows:
        print(row)

if __name__ == '__main__':
    main()