soccer

작성일자 : 2023-12-29 Ver 0.1.1 강의에서 소개된 파이썬 주요 기능¶ numpy.ndarray.flatten: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.flatten.html matplotlib.pyplot.text: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.text.html 위치 추적 데이터 준비¶ In [1]: import os import numpy as np import pandas as pd import matplotlib.pyplot as plt new_dir = '/Users/limjongjun/Desktop/JayJay/Growth/Pyt..

작성일자 : 2023-12-28 Ver 0.1.1 슈팅 데이터 불러오기¶ In [1]: import os import numpy as np import pandas as pd import plotly.graph_objects as go new_dir = '/Users/limjongjun/Desktop/JayJay/Growth/Python/soccer-analytics' os.chdir(new_dir) from src.plot_utils import get_pitch_layout In [2]: shots = pd.read_pickle('data/shots.pkl') shots Out[2]: competition_name match_id event_id period time team_id team_name ..

작성일자 : 2023-12-26 Ver 0.1.1 강의에서 소개된 파이썬 주요 기능¶ statsmodels.formula.api.glm: https://www.statsmodels.org/dev/generated/statsmodels.formula.api.glm.html statsmodels.genmod.generalized_linear_model.GLM: https://www.statsmodels.org/dev/generated/statsmodels.genmod.generalized_linear_model.GLM.html statsmodels.genmod.generalized_linear_model.GLM.fit: https://www.statsmodels.org/dev/generated/statsmo..

작성일자 : 2023-12-25 Ver 0.1.1 강의에서 소개된 파이썬 주요 기능¶ statsmodels.formula.api.ols: https://www.statsmodels.org/dev/generated/statsmodels.formula.api.ols.html statsmodels.regression.linear_model.OLS: https://www.statsmodels.org/devel/generated/statsmodels.regression.linear_model.OLS.html statsmodels.regression.linear_model.OLS.fit: https://www.statsmodels.org/devel/generated/statsmodels.regression.line..