Python复制import requests import pandas as pd response = requests.get('API_URL') df = pd.DataFrame(response.json()) 2. 数据转换(Transform)数据转换是ETL的核心步骤,涉及清洗、格式化和修改数据,使其符合目标系统的需求。2.1 数据清洗 pandas:提供了丰富的数据清洗功能,如处理缺失值、删除重复数据等。
Sample Solution: Python Code:import requests from bs4 import BeautifulSoup url = 'https://www.python.org/' reqs = requests.get(url) soup = BeautifulSoup(reqs.text, 'lxml') print("Text from the said page:") print(soup.get_text()) Sample Output:Text from the said page: Welcome to Pyth...
assert_XXX(jmes_path: Text, expected_value: Any, message: Text = "") 校验结果先调用.validate()方法 代码语言:javascript 代码运行次数:0 运行 AI代码解释 .validate() .assert_equal("status_code", 200) .assert_equal("body.code", 0) .assert_equal("body.msg", "login success!") .assert_...
df_users = pd.read_sql(query, engine) return df_users # 2. 从 CSV 文件抽取数据 def extract_from_csv(): df_orders = pd.read_csv('orders.csv') return df_orders # 3. 从 API 抽取数据 def extract_from_api(): api_url = "https://api.weatherapi.com/v1/current.json" api_key = ...
from bs4 import BeautifulSoup 1. 2. 获取网页源代码: 使用requests库发送HTTP请求获取网页的源代码,并使用BeautifulSoup库将源代码解析为HTML文档。以下代码演示如何获取网页源代码并解析: url = ' response = requests.get(url) html = response.text
assert_XXX(jmes_path: Text,expected_value: Any,message: Text ="") 校验结果先调用.validate()方法 .validate().assert_equal("status_code",200).assert_equal("body.code",0).assert_equal("body.msg","login success!").assert_length_equal("body.token",40) ...
URLExtract is python class for collecting (extracting) URLs from given text based on locating TLD. - lipoja/URLExtract
I need to do validation on text box such that it can only accept integers from 3 to 1440 or "Default" word. range validator control does not work in this case and probably have to use custom... How to create a faceted graph with multiple Min and Max points that are grouped ...
Python-Iocextract是一款高级入侵威胁标识符IoC提取工具,它可以从文本语料库提取URL、IP地址、MD5/SHA哈希、电子邮件地址和YARA规则,其中还包括某些已编码或已被“破坏”的入侵威胁标识符。 因为网络犯罪分子为了防止暴露自己的恶意活动以及攻击内容,通常都会想办法“破坏”类似URL和IP地址这样的入侵威胁标识符。在这种情况...
Write a Python program to extract year, month and date from an URL. Sample Solution: Python Code: importredefextract_date(url):returnre.findall(r'/(\d{4})/(\d{1,2})/(\d{1,2})/',url)url1="https://www.washingtonpost.com/news/football-insider/wp/2016/09/02/odell-beckhams-fame...