我想拿这本词典:
table = {2015-11-10:[('pear', 22), ('banana', 50)],
2015-11-13:[('banana', 22), ('apple', 50), ('strawberry', 30), ('pear', 35), ('orange', 2), ('mango', 76)]
2015-11-12:[('banana', 22), ('orange', 50), ('mango', 30), ('strawberry', 35)]
}
with open ('transaction.csv', 'wb') as f:
w = csv.writer(f, delimiter = ',')
w.writerow(['transaction_date', 'fruits', 'quantity'])
for k,v in table.items():
w.writerow([k,v])
我想要打印的是每个键,即日期只有一对元组,只有三列。 但是我一直打印出来:
2015-11-10,"[('pear', 22), ('banana', 50)]"
2015-11-13,"[('banana', 22), ('apple', 50), ('strawberry', 30), ('pear', 35), ('orange', 2), ('mango', 76)]"
2015-11-12,"[('banana', 22), ('orange', 50), ('mango', 30), ('strawberry', 35)]"
而不是:
2015-11-10,pear,22
2015-11-10,banana,50
2015-11-13,banana,22
等等。
任何帮助肯定会受到赞赏。谢谢。
答案 0 :(得分:3)
数据结构是嵌套的。你需要一个内循环而不是水果和数量:
import csv
table = {"2015-11-10": [('pear', 22), ('banana', 50)],
"2015-11-13": [('banana', 22), ('apple', 50), ('strawberry', 30), ('pear', 35), ('orange', 2), ('mango', 76)],
"2015-11-12": [('banana', 22), ('orange', 50), ('mango', 30), ('strawberry', 35)]
}
with open('transaction.csv', 'wb') as f:
w = csv.writer(f, delimiter=',')
w.writerow(['transaction_date', 'fruits', 'quantity'])
for transaction_date, fruits in table.items():
for fruit, quantity in fruits:
w.writerow([transaction_date, fruit, quantity])
以下是运行代码后transaction.csv
内的内容:
transaction_date,fruits,quantity
2015-11-10,pear,22
2015-11-10,banana,50
2015-11-13,banana,22
2015-11-13,apple,50
2015-11-13,strawberry,30
2015-11-13,pear,35
2015-11-13,orange,2
2015-11-13,mango,76
2015-11-12,banana,22
2015-11-12,orange,50
2015-11-12,mango,30
2015-11-12,strawberry,35
答案 1 :(得分:0)
我认为这将实现您的目标。您还需要迭代与每个日期键关联的值对:
import csv
table = {
'2015-11-10':[('pear', 22),
('banana', 50)],
'2015-11-13':[('banana', 22),
('apple', 50),
('strawberry', 30),
('pear', 35),
('orange', 2),
('mango', 76)],
'2015-11-12':[('banana', 22),
('orange', 50),
('mango', 30),
('strawberry', 35)]
}
with open ('transaction.csv', 'wb') as f:
w = csv.writer(f, delimiter = ',')
w.writerow(['transaction_date', 'fruits', 'quantity'])
for date, pairs in table.items():
for pair in pairs:
w.writerow([date, pair[0], pair[1]])