我正在使用带有 Patsy 包的 R 样式公式使用 statsmodels 并收到一个我无法正面或反面的错误，任何提示或技巧将不胜感激。
PatsyError：数据参数和 C('Industry_Banking&CapitalMarkets') 之间的行数不匹配（8137 对 1）
DataFrame 确实有 8137 行并且没有丢失数据
完整代码如下
mixed = smf.mixedlm("""count_SoldServiceName ~ date_int + AzureActiveEngagementCount + AzureEngagementPartnerCount
+ DCount_learning_path_name + Industry_Automotive + C('Industry_Banking&CapitalMarkets') + C('Industry_Chemicals&Agrochemicals') + Industry_CivilianGovernment
+ Industry_ConsumerGoods + C('Industry_Defense&Intelligence') + Industry_DiscreteManufacturing + Industry_Energy + Industry_Gaming
+ Industry_HealthPayor + Industry_HealthProvider + Industry_HigherEducation + Industry_Insurance + C('Industry_Media&Entertainment') + Industry_Nonprofit
+ Industry_PartnerProfessionalServices + Industry_Pharmaceuticals + C('Industry_Primary&SecondaryEdu/K-12') + Industry_ProfessionalServices
+ C('Industry_PublicSafety&Justice') + Industry_Retailers + Industry_SmartSpaces + Industry_Telecommunications + C('Industry_Travel,Transport&Hospitality')
+ Industry_other + InvestmentArea_AA + InvestmentArea_ACO + InvestmentArea_CSE + InvestmentArea_CSM + InvestmentArea_ECIF + InvestmentArea_FT
+ InvestmentArea_GBB + InvestmentArea_PAL + active_flag_int + annual_sales_in_us_dollars + commitment_int
+ completed_lp_learners + edx_number_completed_courses + employees_total + esi_offer_int
+ health_int + s500_int + segmentname_int + fundamentals_flag + role_based_flag"""
,workloads_agg
,groups=workloads_agg['tpid_sub']
,exog_re=workloads_agg['date_int']
,missing='drop'
,use_sqrt=True)
mixed_fit = mixed_complete2.fit(method=['bfgs', 'lbfgs', 'cg','powell'])