# データの読み込み
import pandas as pd

file = 'data/1_test_reg.csv'
df = pd.read_csv(file)

print (df)

# statsmodelsのライブラリ呼び出し
import statsmodels.api as sm

# 変数の定義
X = df['Earn']
Y = df.loc[:,['MaxTemp','MinTemp','Humi','Wind','Sun']]
model = sm.OLS(X, sm.add_constant(Y))

# Elastic Netで回帰分析を実行する
result = model.fit_regularized(
                    method='elastic_net',
                    alpha=1000.0,
                    L1_wt=1.0,
                    start_params=None,
                    profile_scale=False,
                    refit=False
                    )

# パラメータを調べる
b= result.params
print(b)