# alpha_dealy = np.log(alpha_dealy)
print(len(A_values))
mark = df_info.loc['1977-06-01':'2020-01-01', 'mark'].values
para = np.vstack((ssn_delay, alpha_dealy)).T
phi_lr = np.array([])
# for i in range(len(mark)):
# phi = FUNC.LR_all(para[i])
# phi_lr = np.append(phi_lr, phi)
for i, flag in enumerate(mark):
if flag == -12:
phi = FUNC.LR_negative(para[i])
phi_lr = np.append(phi_lr, phi)
elif flag == -5:
phi = FUNC.LR_postive(para[i])
phi_lr = np.append(phi_lr, phi)
print(phi_lr)
print(len(phi_lr))
"""
保存LR计算出的phi_lr 计算 flux_lr (log)
"""
df_info_lr = df_info.loc['1977-06-01':'2020-01-01', :]
print(len(df_info_lr))
