python如何实现API的调用详解_python_

import request # GET请求发送的参数一定要是字典的形式，可以发送多个参数。 # 发送格式：{'key1':value1', 'key2':'value2', 'key3', 'value3'} # 样例不能运行 url ='http://www.xxxxx.com' params = {'user':'lixue','password':111112333} requests.get(url,data = parms) 

import request data={'k1':'v1','k2':'v2'} headers= {'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36'} requests.post(url,headers = headers,data=data) 

data = {'user':'lixue','password':12233} data_json = json.dumps(params) requests.post(url,headers = headers,data = data_json) 

files = {'files':open('c://xxx.txt','rb')} requests.post(url = url,headers = headers,files = files) 

params = { "apiKey":'换成你的apikey', "area":'武汉市', } url = 'https://api.apishop.net/common/weather/get15DaysWeatherByArea' response = requests.get(url,params) print(response.text) 

url = 'https://api.apishop.net/common/weather/get15DaysWeatherByArea' params = { "apiKey":'换成你的apikey', "area":'武汉市武昌区', } response = requests.post(url,params) print(response.text) 

params = { "apiKey":'换成你的apikey, "area":'武汉市', } url = 'https://api.apishop.net/common/weather/get15DaysWeatherByArea' response = requests.post(url,params) print(response.text) if response.status_code != 200: raise ConnectionError(f'{url} status code is {response.status_code}.') response = json.loads(response.content) if 'desc' not in response.keys(): raise ValueError(f'{url} miss key msg.') if response['desc'] != '请求成功': print(11) 

import requests import pandas as pd import numpy as np import json def get_url(area): url = 'https://api.apishop.net/common/weather/get15DaysWeatherByArea' params = { "apiKey":'换成你的apikey', "area":area, } response = requests.get(url,params) if response.status_code != 200: raise ConnectionError(f'{url} status code is {response.status_code}.') response = json.loads(response.content) if 'desc' not in response.keys(): raise ValueError(f'{url} miss key msg.') if response['desc'] != '请求成功': print(11) return response def extract_data(web_data): data= web_data['result']['dayList'] weather_data = pd.DataFrame(columns = ['city','daytime','day_weather','day_air_temperature','day_wind_direction','day_wind_power', 'night_weather','night_air_temperature','night_wind_direction','night_wind_power']) for i in range(len(data)): city = data[i]["area"] daytime = data[i]["daytime"] daytime = daytime[:4]+'-'+daytime[4:6]+'-'+daytime[-2:] day_weather = data[i]["day_weather"] day_air_temperature = data[i]['day_air_temperature'] day_wind_direction = data[i]["day_wind_direction"] day_wind_power = data[i]['day_wind_power'] night_weather = data[i]['night_weather'] night_air_temperature = data[i]["night_air_temperature"] night_wind_direction = data[i]['night_wind_direction'] night_wind_power = data[i]["night_wind_power"] c = {"city": city,"daytime": daytime,"day_weather":day_weather,"day_air_temperature":day_air_temperature, "day_wind_direction":day_wind_direction,"day_wind_power":day_wind_power,"night_weather":night_weather, "night_air_temperature":night_air_temperature,"night_wind_direction":night_wind_direction, "night_wind_power":night_wind_power} weather_data = weather_data.append(c,ignore_index = True) weather_data.to_excel(r"C:\Users\zhangfeng\Desktop\最近十五天天气.xlsx",index = None) return weather_data if __name__ == '__main__': print("请输入对应的城市") web_data = get_url(input()) weather_data = extract_data(web_data) 

# 销售状态查询 def id_status(id_dir): id_data = pd.read_excel(id_dir,sheet_name="Sheet1") id_data.columns = ['shop', 'Campaign Name','Ad Group Name','Item Id'] # 方便后期处理更改列名 id_data["Item Id"] = id_data["Item Id"].astype(str) id_list = list(id_data['Item Id']) print(len(id_list)) id_list = ','.join(id_list) if isinstance(id_list, int): id_list = str(id_list) id1 = id_list.strip().replace('，', ',').replace(' ', '') request_url = "http://xxx.com" # 通过item_id查询id状态 params = { "item_id":id1, } data_json = json.dumps(params) # 属于POST第二种请求方式 response = requests.post(request_url, data = data_json) print(response.text) if response.status_code != 200: raise ConnectionError(f'{request_url} status code is {response.status_code}.') response = json.loads(response.content) if 'message' not in response.keys(): raise ValueError(f'{request_url} miss key msg.') if response['message'] != 'ok': print(11) data= response['result'] ad_data = pd.DataFrame(columns = ['Item Id','saleStatusName']) for j in range(len(data)): item_id =data[j]["item_id"] saleStatusName = data[j]['saleStatusName'] c = {"Item Id": item_id, "saleStatusName": saleStatusName, } ad_data = ad_data.append
                
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