import requestsfrom bs4 import BeautifulSoupfrom selenium import webdriverfrom selenium.webdriver.chrome.service import Servicefrom webdriver_manager.chrome import ChromeDriverManagerfrom selenium.webdriver.chrome.options import Optionsfrom selenium.webdriver.common.by import Byimport timefrom selenium.webdriver.support.ui import WebDriverWaitfrom selenium.webdriver.support import expected_condi..
데이콘
In [1]:import pandas as pdimport matplotlib.pyplot as pltimport matplotlibimport matplotlib.font_manager as fmimport osimport seaborn as snsfrom IPython.display import displayimport numpy as npimport reimport jsonpd.options.display.max_columns = None%matplotlib inline# 한글 폰트plt.rcParams['font.family'] = 'NanumGothic'# 마이너스 깨짐 방지matplotlib.rcParams['axes.unicode_minus'] = False# 나눔 폰트 경로 설정font_p..
In [51]:import pandas as pdimport matplotlib.pyplot as pltimport matplotlibimport matplotlib.font_manager as fmimport osfrom IPython.display import HTMLimport seaborn as snsfrom IPython.display import displayimport numpy as npimport reimport jsonpd.options.display.max_columns = None%matplotlib inline# 한글 폰트plt.rcParams['font.family'] = 'NanumGothic'# 마이너스 깨짐 방지matplotlib.rcParams['axes.unicode_m..
batter_height_weight_position_insert¶In [ ]:import requestsfrom bs4 import BeautifulSoupfrom selenium import webdriverfrom selenium.webdriver.chrome.service import Servicefrom webdriver_manager.chrome import ChromeDriverManagerfrom selenium.webdriver.chrome.options import Optionsfrom selenium.webdriver.common.keys import Keysfrom selenium.webdriver.common.by import Byimport timefrom selenium.web..
In [232]:import pandas as pdimport matplotlib.pyplot as pltimport matplotlibimport matplotlib.font_manager as fmimport osfrom IPython.display import HTMLimport seaborn as snsfrom IPython.display import displayimport numpy as npimport repd.options.display.max_columns = None%matplotlib inline# 한글 폰트plt.rcParams['font.family'] = 'NanumGothic'# 마이너스 깨짐 방지matplotlib.rcParams['axes.unicode_minus'] = F..
In [354]:import pandas as pdimport matplotlib.pyplot as pltimport matplotlibimport osfrom IPython.display import HTMLimport seaborn as snsfrom IPython.display import displayimport numpy as nppd.options.display.max_columns = None%matplotlib inline# 한글 폰트plt.rcParams['font.family'] = 'NanumGothicCoding'# 마이너스 깨짐 방지matplotlib.rcParams['axes.unicode_minus'] = FalseIn [355]:os.listdir('./datas')Out[3..
In [268]:import pandas as pdimport matplotlib.pyplot as pltimport matplotlibimport osfrom IPython.display import HTMLimport seaborn as snsfrom IPython.display import displaypd.options.display.max_columns = None%matplotlib inline# 한글 폰트plt.rcParams['font.family'] = 'NanumGothicCoding'# 마이너스 깨짐 방지matplotlib.rcParams['axes.unicode_minus'] = FalseIn [269]:os.listdir('./datas')Out[269]:['Regular_Seas..
대회 이름: KBO 타자 OPS 예측 경진대회대회 링크: https://dacon.io/competitions/official/62540/overview/description깃허브: https://github.com/dlsdud9098/kbo_ops_predict이미 지난 대회 이지만 KBO에 관심이 있어서 한 번 공부할 겸 해보려고 합니다.jupyter 노트북 그대로 올라갈 예정이며 게시글 수정없이 추가되는 그대로 업로드 됩니다.(1, 2 모두 같은 내용이지만 2가 뒷 내용 추가됨)
