Difference between revisions of "5 Get the city weather"
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| Line 17: | Line 17: | ||
"weatherinfo": | "weatherinfo": | ||
{ | { | ||
| − | "city": " | + | "city": "jingzhou", |
"cityid": "101200801", | "cityid": "101200801", | ||
"img1": "n7.gif", | "img1": "n7.gif", | ||
| Line 24: | Line 24: | ||
"temp1": "16℃", | "temp1": "16℃", | ||
"temp2": "23℃", | "temp2": "23℃", | ||
| − | "weather": " | + | "weather": "Rain turns shade" |
} | } | ||
} | } | ||
| Line 37: | Line 37: | ||
url = "http://www.weather.com.cn/data/cityinfo/101200801.html" | url = "http://www.weather.com.cn/data/cityinfo/101200801.html" | ||
rsp = urequests.get(url) | rsp = urequests.get(url) | ||
| − | data = eval(rsp.text) # | + | data = eval(rsp.text) # eval function is used to convert string type json data from -> to python dictionary type |
weather = data["weatherinfo"] | weather = data["weatherinfo"] | ||
| − | L = weather["temp1"] # | + | L = weather["temp1"] #lowest temperature |
| − | H = weather["temp2"] # | + | H = weather["temp2"] #the highest temperature |
| − | return "L:" + L[:-1] + " H:" + H[:-1] # | + | return "L:" + L[:-1] + " H:" + H[:-1] #Data sample-> L:16 H:23 |
display.scroll(get_weather()) | display.scroll(get_weather()) | ||
| − | # L[:-1] H[:-1] | + | # L[:-1] H[:-1]Remove ℃ ℉ and two special symbol, can appear otherwise coding errors |
Revision as of 21:34, 23 February 2019
The development of preparation
- 1. First, ensure the integrity of the current firmware dependency package
help(“modules”)
- The effect is shown below. If you do not have two dependency packages on the diagram, please burn the latest firmware.
- Make sure you're connected to the Internet. if not , please see 2 WiFI wireless connection
Prepare the weather API
- 1 I'm using the national weather service API here, http://www.weather.com.cn/data/cityinfo/101200801.html # 101200801 （In jingzhou city），See details of city ids：http://mobile.weather.com.cn/js/citylist.xml
- 2. Request to return Json data sample
{
"weatherinfo":
{
"city": "jingzhou",
"cityid": "101200801",
"img1": "n7.gif",
"img2": "d2.gif",
"ptime": "18:00",
"temp1": "16℃",
"temp2": "23℃",
"weather": "Rain turns shade"
}
}
We can analyze these json files and write an example like this
example analyse
import urequests from microbit import * def get_weather(): url = "http://www.weather.com.cn/data/cityinfo/101200801.html" rsp = urequests.get(url) data = eval(rsp.text) # eval function is used to convert string type json data from -> to python dictionary type weather = data["weatherinfo"] L = weather["temp1"] #lowest temperature H = weather["temp2"] #the highest temperature return "L:" + L[:-1] + " H:" + H[:-1] #Data sample-> L:16 H:23 display.scroll(get_weather()) # L[:-1] H[:-1]Remove ℃ ℉ and two special symbol, can appear otherwise coding errors
