python转dataframe_python–将Dataframe列转换为⾏的
Dataframe
我有以下DataFrame：
data = {'year': [2010, 2010, 2011, 2012, 2011, 2012, 2010, 2011, 2012, 2013],
slave是什么意思'store_number': ['1944', '1945', '1946', '1947', '1948', '1949', '1947', '1948', '1949', '1947'],
amy是什么意思'retailer_name': ['Walmart','Walmart', 'CRV', 'CRV', 'CRV', 'Walmart', 'Walmart', 'CRV', 'CRV', 'CRV'],
英语作文50字'product': ['a', 'b', 'a', 'a', 'b', 'a', 'b', 'a', 'a', 'c'],
网上交朋友'amount': [5, 5, 8, 6, 1, 5, 10, 6, 12, 11]}
stores = pd.DataFrame(data, columns=['retailer_name', 'store_number', 'year', 'product', 'amount'])
stores.t_index(['retailer_name', 'store_number', 'year', 'product'], inplace=True)
我想转换以下Dataframe：tp是什么
中美主播辩论
amount
retailer_name store_number year product
CRV 1946 2011 a 8
1947 2012 a 6
2013 c 11
1948 2011 a 6
b 1
1949 2012 a 12
Walmart 1944 2010 a 5
1945 2010 b 5
1947 2010 b 10
1949 2012 a 5debonair
biology
进⼊⾏数据框：
retailer_name store_number year a b c
CRV 1946 2011 8 0 0
CRV 1947 2012 6 0 0
<mistletoe什么意思
产品众所周知.
知道怎么做吗？automation
