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我正在尝试创建一个物流虚拟数据集，用于对数据进行一些分析和可能的预测。

Assumed variables are as follows:

 VARIABLES                     RANGES
 awb                           random number eg:235533
 destination_city              random cities
 product                       different products
 product_category              different categories
 origin_city                   random metro cities
 logistics_provider_id         id's eg:1,20,28,27
 dispatch_date                 datetime between mar01-2015 to mar15-2015
 final_delivery_status         created,delivered,returned
 actual_delivery_date          datetime between mar16-2015 to mar30-2015
 promised_delivery_date        datetime between mar25-2015 to Apr6-2015

因此，从上述变量假设我想创建上述范围内的虚拟数据。我如何使用 python 创建虚拟数据

Expected output:

example_dummy_data:

  awb        destination_city   product               product_category
1 104842891  Byatarayanapura    Wrangler Denim Jeans  Men's Clothing
2 104842938  Bareilly           Sky Blue Denim        Men's Clothing
3 104842942  Saharanpur         puma shoes            Men's …

我有一个值如下的列,我想在每行的相同值的"+或_"20%之间取一个随机值,并将其分配给另一列.

样本数据

    benchmark
1   100
2   200   
3   250
4   400
5   150
6   1000

现在,我想通过在每行的基准值的+或-20%之间添加1个随机数,在同一数据中创建一个名为value的变量.

预期产量:

    benchmark   value
 1  100         87 
 2  200         213
 3  250         255
 4  400         320
 5  150         180
 6  1000        900  

下面的片段说明了我实现这一目标的尝试; 它按预期工作,但需要花费太多时间来执行:

for (i in 1:nrow(sample_data)){
    sample_data$value[i] = sample_data$benchmark[i] + runif(1,min = -0.2*sample_data$benchmark[i], max = 0.2*sample_data$benchmark[i])
}

如何改进代码的性能？