我有这个问题：

import pandas as pd

stripline = "----------------------------"

rawData = {
    'order number': ['11xa', '11xa', '11xa', '21xb', '31xc'],
    'working area': ['LLA', 'LLE', 'LLS', 'MLA', 'MLE'],
    'time': ['1', '6', '13', '35', '24']
}

df = pd.DataFrame(rawData)
print("original data:")
print(df.head())

print(stripline)

rawData2 = {
    'order number': ['11xa', '21xb', '31xc'],
    'working area': ['LLS', 'MLA', 'MLE'],
    'time': ['20', '35', '24']
}
df2 = pd.DataFrame(rawData2)

print("expected result:")
print("group after order number, sum all times to that order and choose working field with the biggest time")
print(df2.head())

如何操作我的数据框 df 以获取 df2？

我想总结时间列中与订单号相对应的所有值。我想使用时间最长的工作领域，特别是我想保留其余的数据。新的数据框有三阶，旧的一阶五阶。