데이터 분석3 plot 속성 import matplotlib.pyplot as plt from importlib import reload plt = reload(plt) # 타이틀 표시 위해서 plt.plot([10, 20, 5, 3], color="green") plt.title("그래프") plt.show() 2023. 11. 29. plot하기 import matplotlib.pyplot as plt plt.plot([10,20,5,3],'r--') plt.show() import matplotlib.pyplot as plt plt.boxplot([10,20,5,3]) plt.show() import matplotlib.pyplot as plt plt.hist([10,20,5,3],bins=3) plt.show() import csv import matplotlib.pyplot as plt with open(r"C:\Users\neo21\OneDrive\바탕 화면\광주_강수량.csv", encoding="utf-8") as file: data = csv.reader(file) next(data) L=[] for row in data: L.app.. 2023. 11. 29. CSV파일 불러오기 공공데이터 이용 : https://www.data.go.kr/index.do 기상청 : https://data.kma.go.kr/cmmn/main.do import csv with open(r"C:\Users\neo21\OneDrive\바탕 화면\광주_강수량.csv", encoding="utf-8") as file: data = csv.reader(file) for row in data: print(row) 2023. 11. 29. 이전 1 다음
