5 Get the city weather - Revision history

Sinovoip: /* example analyse */

2019-02-24T04:39:18Z

example analyse

← Older revision		Revision as of 04:39, 24 February 2019
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	# L[:-1] H[:-1]Remove ℃ ℉ and two special symbol, can appear otherwise coding errors		# L[:-1] H[:-1]Remove ℃ ℉ and two special symbol, can appear otherwise coding errors

			=Write at end=

			These operations are all performed in mpfshell. If you use Pycharm programming, you can also operate in mpfshell tools. I believe you should all be able to operate.

2019-02-24T04:34:50Z

Prepare the weather API

← Older revision		Revision as of 04:34, 24 February 2019
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	"weatherinfo":		"weatherinfo":
	{		{
	"city": "荆州",		"city": "jingzhou",
	"cityid": "101200801",		"cityid": "101200801",
	"img1": "n7.gif",		"img1": "n7.gif",
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	"temp1": "16℃",		"temp1": "16℃",
	"temp2": "23℃",		"temp2": "23℃",
	"weather": "~~小雨转阴~~"		"weather": "Rain turns shade"
	}		}
	}		}
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	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) # ~~eval函数用于把字符串类型的json数据~~->~~转为python的字典类型~~		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"] #~~最低温~~		L = weather["temp1"] #lowest temperature
	H = weather["temp2"] #~~最高温~~		H = weather["temp2"] #the highest temperature
	return "L:" + L[:-1] + " H:" + H[:-1] # ~~数据样例~~-> L:16 H:23		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]~~去掉℃和℉两个特殊符号，否则会出现编码错误~~		# L[:-1] H[:-1]Remove ℃ ℉ and two special symbol, can appear otherwise coding errors

2019-02-24T04:33:05Z

example analyse

← Older revision		Revision as of 04:33, 24 February 2019
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	==example analyse==		==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函数用于把字符串类型的json数据->转为python的字典类型
			weather = data["weatherinfo"]
			L = weather["temp1"] #最低温
			H = weather["temp2"] #最高温
			return "L:" + L[:-1] + " H:" + H[:-1] # 数据样例-> L:16 H:23

			display.scroll(get_weather())

			# L[:-1] H[:-1]去掉℃和℉两个特殊符号，否则会出现编码错误

2019-02-24T04:32:20Z

Prepare the weather API

← Older revision		Revision as of 04:32, 24 February 2019
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	}		}
	}		}

			We can analyze these json files and write an example like this

			==example analyse==

2019-02-24T04:31:41Z

Prepare the weather API

← Older revision		Revision as of 04:31, 24 February 2019
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	=Prepare the weather API=		=Prepare the weather API=

	*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		*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": "荆州",
			"cityid": "101200801",
			"img1": "n7.gif",
			"img2": "d2.gif",
			"ptime": "18:00",
			"temp1": "16℃",
			"temp2": "23℃",
			"weather": "小雨转阴"
			}
			}

2019-02-24T04:30:46Z

Prepare the weather API

← Older revision		Revision as of 04:30, 24 February 2019
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	=Prepare the weather API=		=Prepare the weather API=

			*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

2019-02-24T04:28:55Z

The development of preparation

← Older revision		Revision as of 04:28, 24 February 2019
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	*Make sure you're connected to the Internet. if not , please see [[2 WiFI wireless connection]]		*Make sure you're connected to the Internet. if not , please see [[2 WiFI wireless connection]]

			=Prepare the weather API=

2019-02-24T04:28:25Z

The development of preparation

← Older revision		Revision as of 04:28, 24 February 2019
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	*The effect is shown below. If you do not have two dependency packages on the diagram, please burn the latest firmware.		*The effect is shown below. If you do not have two dependency packages on the diagram, please burn the latest firmware.
	::[[File:Weathercheck.png]]		::[[File:Weathercheck.png]]

			*Make sure you're connected to the Internet. if not , please see [[2 WiFI wireless connection]]

2019-02-24T04:27:23Z

The development of preparation

← Older revision		Revision as of 04:27, 24 February 2019
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	help(“modules”)		help(“modules”)

			*The effect is shown below. If you do not have two dependency packages on the diagram, please burn the latest firmware.
			::[[File:Weathercheck.png]]

2019-02-24T04:25:51Z

The development of preparation

← Older revision		Revision as of 04:25, 24 February 2019
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	*1. First, ensure the integrity of the current firmware dependency package		*1. First, ensure the integrity of the current firmware dependency package

			help(“modules”)