How to implement calculations on data in dictionaries in Python

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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