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python中的任何函数是否与R中的dput()函数类似？

我有以下3个表格:

AggData <- structure(list(Path = c("NonBrand", "Brand", "NonBrand,NonBrand", 
"Brand,Brand", "NonBrand,NonBrand,NonBrand", "Brand,Brand,Brand", 
"Brand,NonBrand", "NonBrand,Brand", "NonBrand,NonBrand,NonBrand,NonBrand", 
"Brand,Brand,Brand,Brand", "NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", 
"Brand,Brand,Brand,Brand,Brand", "Brand,Brand,NonBrand", "NonBrand,Brand,Brand", 
"Brand,NonBrand,NonBrand", "NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", 
"NonBrand,NonBrand,Brand", "Brand,NonBrand,Brand", "NonBrand,Brand,NonBrand", 
"NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", 
"Brand,Brand,Brand,Brand,Brand,Brand", "NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", 
"NonBrand,Brand,Brand,Brand", "NonBrand,NonBrand,NonBrand,Brand", 
"Brand,Brand,Brand,NonBrand", "Brand,Brand,Brand,Brand,Brand,Brand,Brand", 
"Brand,NonBrand,NonBrand,NonBrand", "NonBrand,NonBrand,Brand,Brand", 
"Brand,Brand,NonBrand,NonBrand", "Brand,NonBrand,Brand,Brand", 
"NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", 
"Brand,Brand,NonBrand,Brand", "NonBrand,Brand,NonBrand,NonBrand", 
"Brand,Brand,Brand,Brand,Brand,Brand,Brand,Brand", "NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", 
"NonBrand,NonBrand,Brand,NonBrand", "Brand,NonBrand,NonBrand,Brand", 
"NonBrand,Brand,Brand,Brand,Brand", "NonBrand,NonBrand,NonBrand,NonBrand,Brand", 
"Brand,NonBrand,Brand,NonBrand", "NonBrand,Brand,Brand,NonBrand", 
"Brand,Brand,Brand,Brand,NonBrand", "Brand,NonBrand,NonBrand,NonBrand,NonBrand", 
"Brand,Brand,Brand,Brand,Brand,Brand,Brand,Brand,Brand", "NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", 
"Brand,NonBrand,Brand,Brand,Brand", "NonBrand,Brand,NonBrand,Brand", 
"Brand,Brand,Brand,NonBrand,Brand", "NonBrand,NonBrand,Brand,Brand,Brand", 
"NonBrand,NonBrand,NonBrand,Brand,Brand", "Brand,Brand,NonBrand,Brand,Brand", 
"Brand,Brand,Brand,NonBrand,NonBrand", "Brand,Brand,Brand,Brand,Brand,Brand,Brand,Brand,Brand,Brand", 
"NonBrand,NonBrand,NonBrand,Brand,NonBrand", "Brand,Brand,NonBrand,NonBrand,NonBrand", 
"NonBrand,Brand,Brand,Brand,Brand,Brand", "NonBrand,Brand,NonBrand,NonBrand,NonBrand", 
"NonBrand,NonBrand,Brand,NonBrand,NonBrand", "NonBrand,NonBrand,NonBrand,NonBrand,NonBrand,Brand", 
"Brand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", "Brand,Brand,Brand,Brand,Brand,NonBrand", 
"NonBrand,Brand,Brand,NonBrand,NonBrand", "Brand,NonBrand,NonBrand,Brand,Brand", 
"NonBrand,NonBrand,NonBrand,NonBrand,Brand,Brand", "NonBrand,NonBrand,Brand,Brand,Brand,Brand", 
"NonBrand,NonBrand,NonBrand,NonBrand,Brand,NonBrand", "NonBrand,NonBrand,Brand,NonBrand,Brand", 
"Brand,NonBrand,NonBrand,Brand,NonBrand", "NonBrand,NonBrand,NonBrand,Brand,Brand,Brand", 
"NonBrand,Brand,Brand,NonBrand,Brand", "Brand,NonBrand,NonBrand,NonBrand,NonBrand,Brand", 
"Brand,Brand,NonBrand,NonBrand,NonBrand,NonBrand,NonBrand", "Brand,Brand,Brand,Brand,NonBrand,NonBrand,NonBrand"
), click_count …