建模样本分数分布matplotlib，结合psi判断模型拟合程度

建模样本分数分布matplotlib，结合psi判断模型拟合程度

画此图的目的是除了ks和auc指数，结合建模样本和OOT样本的psi，利用分数分布图进行比较，判断模型拟合程度。

psi计算

def multi_psi_for_continue_var(expected_frame, actual_frame, bins=10, bucket_type='bins', detail=False,
                               save_file_path=None):
    col_list = expected_frame.columns.tolist()
    if detail == True:
        psi_value = []
        for i in col_list:
            expected_array = expected_frame[i]
            actual_array = actual_frame[i]
            _psi = psi_for_continue_var(expected_array, actual_array, bins=bins, bucket_type=bucket_type, detail=detail,
                                        save_file_path=save_file_path)
            if not isinstance(_psi, int):
                _psi['col_name'] = str(i)
                print(i)
                psi_value.append(_psi)
            else:
                print(i)
        psi_all = pd.concat(psi_value, sort=False)
    elif detail == False:
        psi_value = {
   
   }
        for i in col_list:
            expected_array = expected_frame[i]
            actual_array = actual_frame[i