아미(아름다운미소)

선익시스템 171090 53,000원 ▼ 0.56% 거래대금 28억 분석 날짜 2025-12-27 시장 환경 ..

HS효성첨단소재 298050 189,300원 ▼ 1.15% 거래대금 15억 분석 날짜 2025-12-26 시장 환경 ..

현대차2우B 005387 205,500원 ▼ 1.44% 거래대금 239억 분석 날짜 2025-12-26 시장 환경 ..

import requestsimport pandas as pdurls = [ "https://jsonplaceholder.typicode.com/todos/1", "https://jsonplaceholder.typicode.com/todos/2", "https://jsonplaceholder.typicode.com/todos/3"]results = []for url in urls: resp = requests.get(url) if resp.status_code == 200: data = resp.json() # JSON → dict results.append(data) # dict 누적# dict 리스트 → DataFramedf = p..

from datetime import datetime# 문자열 형태의 시간time_str1 = "2023-10-15 14:30:00"time_str2 = "2023-10-15 16:45:30"# 문자열을 datetime 객체로 변환time1 = datetime.strptime(time_str1, "%Y-%m-%d %H:%M:%S")time2 = datetime.strptime(time_str2, "%Y-%m-%d %H:%M:%S")# 차이 계산difference = time2 - time1print(f"시간 차이: {difference}")

from openpyxl import Workbookfrom openpyxl.styles import Alignment, Font# 새 워크북 생성wb = Workbook()# 운동 시트ws = wb.activews.title = "운동 플랜"# 열 너비 조정columns = ['A', 'B', 'C', 'D', 'E']for col in columns: ws.column_dimensions[col].width = 25# 헤더headers = ["구분", "운동", "횟수/시간", "세트", "비고"]ws.append(headers)for cell in ws[1]: cell.alignment = Alignment(horizontal='center', vertical='center') ce..

import pandas as pdimport requestsfrom typing import Optional, Dict, Any, Tupleimport warningswarnings.filterwarnings('ignore')class EnhancedFinancialAnalyzer: """네이버 금융 재무제표 분석기 - 확장된 재무비율 포함""" def __init__(self): self.headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36' } ..

import pandas as pdimport requestsfrom typing import Optional, Dict, Any, Tupleimport warningswarnings.filterwarnings('ignore')class EnhancedFinancialAnalyzer: """네이버 금융 재무제표 분석기 - 확장된 재무비율 포함""" def __init__(self): self.headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36' } ..

import pandas as pdimport requestsfrom typing import Optional, Dict, Anyimport warningswarnings.filterwarnings('ignore')class FinancialAnalyzer: """네이버 금융 재무제표 분석기""" def __init__(self): self.headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36' } def get_financial_..

import pandas as pdimport requestsdef get_financial_statement(ticker): """ 네이버 금융에서 손익계산서 데이터를 가져오는 함수 """ url = f'https://finance.naver.com/item/main.naver?code={ticker}' try: tables = pd.read_html(url, encoding='euc-kr') except: return None for table in tables: if table.shape[1] >= 3 and '매출액' in table.iloc[:, 0].values: return table retu..