cwon

import math
import numpy as np
from shapely.geometry import LineString

ls = LineString([(0, 0), (50,  -100)])

xy = []
for f in range(0, int(math.ceil(ls.length)) + 1):
    p = ls.interpolate(f).coords[0]
    if p not in xy:

cwon

import io
import requests
import openpyxl
 
input_excel = requests.get("https://www.hira.or.kr/rd/hosp/hospSrchListAjax.do?pageIndex=1&pages=0&sidoCdNm=&sgguCdNm=&sortOrdr=&totalSrhYn=N&sno=1121&clCd=21&srchCd=&ykiho=&srchMode=general&isProfessional=N&isJongItem=N&isPharmacyItem=N&isPharmacy=N&isHouseholdMedicine=N&isPlcr=N&mode=&xPosWGS84=&yPosWGS84=&isDgsMap=&isEmyMap=&isNightMap=&isRecuMap=&isPlcrMap=&sidoCd=&sgguCd=&emdongNm=&yadmNm=%EB%B3%91%EC%9B%90%EB%AA%85+%EB%98%90%EB%8A%94+%EC%95%BD%EA%B5%AD%EB%AA%85%EC%9D%84+%EC%9E%85%EB%A0%A5%ED%95%98%EC%84%B8%EC%9A%94.&shwSbjtCd=23&shwSbjtCd=20&shwSbjtCd=01&shwSbjtCd=09&shwSbjtCd=17&shwSbjtCd=18&shwSbjtCd=15&shwSbjtCd=10&shwSbjtCd=08&shwSbjtCd=11&shwSbjtCd=02&shwSbjtCd=06&shwSbjtCd=12&shwSbjtCd=16&shwSbjtCd=26&shwSbjtCd=04&shwSbjtCd=24&shwSbjtCd=13&shwSbjtCd=21&shwSbjtCd=03&shwSbjtCd=05&shwSbjtCd=25&shwSbjtCd=19&shwSbjtCd=14&shwSbjtCd=22&shwSbjtCd=07&greenYn=&shwSbjtCds=23&shwSbjtCds=20&shwSbjtCds=01&shwSbjtCds=09&shwSbjtCds=17&shwSbjtCds=18&shwSbjtCds=15&shwSbjt

cwon

import os
import win32com.client

xl=win32com.client.Dispatch("Excel.Application")
xl.DisplayAlerts = False

for i in range(5):
    wb = xl.Workbooks.Open(".....\\test.xlsx")
    ws = wb.ActiveSheet
    c = ws.Cells(1,1)

cwon

import tensorflow as tf
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.keras import layers
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, LSTM, Dropout

data = np.loadtxt('NHN.csv',delimiter=' ', dtype=np.float)
data = data[::-1] #과거 자료가 앞으로 오도록 수정

cwon

import time
import numpy as np
from functools import reduce

def check_all_zero_list(xs_list):
    for xs in xs_list:
        for x in xs:
            if x != 0:
                return False
    return True;

cwon

import time
import requests
from bs4 import BeautifulSoup
from wordcloud import WordCloud
import matplotlib.pyplot as plt

def get_topics(url):
    # 웹페이지를 읽어와서
    response = requests.get(url)
    # Html 태그 구조를 이용해서 제목 값을 추출합니다.