Json analysis of weather forecast

The previous answer is also concise enough.

First, find out the number of lines of code that went wrong.

Second, find out the variables that go wrong.

You print (type)? You can find that the variable is str? String type, can't participate in the calculation, so to convert to numerical type, generally use float (variable name)? If you want to change and correct the wrong line, you basically don't need to change anything else.

Personal advice:

1. Your python? The foundation seems a little weak, so study hard. Other modules need this foundation to be better used.

2.？ Maybe you can have a look at the panda. Sometimes pandas are used for data analysis? Can save a lot of code, especially for people who have just learned python? Maybe it's easier to accept pandas? The unique grammar of.

Wealth value, if any, should be given to those who answer the above questions. Because his answer is correct.