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How to implement calculations on data in dictionaries in Python
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- 2018-10-11 14:29:203921browse
What this article brings to you is about how Python implements calculations on data in a dictionary, such as: maximum value, minimum value, sorting, etc. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you. helped.
1. Requirements
We want to perform various calculations on the data on the dictionary, such as: maximum value, minimum value, sorting, etc.2. Solution
zip()The function is used to take an iterable object as a parameter, pack the corresponding elements in the object into tuples, and then return a list.
Suppose there is a dictionary that maps stock names and corresponding prices:
prices={
'ACME':45.23,
'AAPL':612.78,
'IBM':205.55,
'HPQ':37.20,
'FB':10.75
}
In order to do useful calculations on the contents of the dictionary, the zip() function is usually used to zip the dictionary The keys and values are reversed.
prices={
'ACME':45.23,
'AAPL':612.78,
'IBM':205.55,
'HPQ':37.20,
'FB':10.75
}
#找出价格最低放入股票
min_price=min(zip(prices.values(),prices.keys()))
print(min_price)
#找出价格最高放入股票
max_price=max(zip(prices.values(),prices.keys()))
print(max_price)
#同样，要对数据排序只要使用zip()再配合sorted()
prices_sorted=sorted(zip(prices.values(),prices.keys()))
print(prices_sorted)
Running result:
(10.75, 'FB') (612.78, 'AAPL') [(10.75, 'FB'), (37.2, 'HPQ'), (45.23, 'ACME'), (205.55, 'IBM'), (612.78, 'AAPL')]
Note that the iterator created by zip() can only be consumed once, for example, below
zip_price=zip(prices.values(),prices.keys()) min_price=min(zip_price) #ok min_price=min(zip_price) #报错
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