Question

嗨，我需要使用不同名称的数据框。数据框正在创建insde for循环，如下所示。

for lambda_ in range(0,len(tuned_parameter)-1):
    print ('....................................',lambda_)
    i=0
    for train_index, test_index in kf.split(X):

        print("Train:", train_index, "Validation:",test_index)
        X_train, X_test = X.iloc[train_index], X.iloc[test_index]
        print ('X train ............',X_train.shape)
        print ('X_test...............',X_test.shape)
        mean_returns_Train = X_train.mean()
        cov_matrix_Train=X_train.cov()
        mean_returns_Test = X_test.mean()
        cov_matrix_Test = X_test.cov()      
        max_s, min_s = display_simulated_ef_with_random(mean_returns_Train, cov_matrix_Train, num_portfolios, risk_free_rate,returns, tuned_parameter[lambda_])
        #print (max_s.T)
        appended_data.append(max_s.T)


    appended_data = pd.concat(appended_data, axis=1)   
    print (appended_data.mean(axis=1))
    i=i+1

但是我需要我的for循环像，appended_data0，appended_data1，appended_data3 .....

如何创建多个数据框，其名称以相关的“ i”值结尾

Answer 1

该问题通过如下调整进行了处理。如评论部分所建议，使用字典来存储数据框。

whole_dataframes = {}

#k = int(np.floor(float(X.shape[0]) / number_folds))
weights = np.zeros((3,num_portfolios))
for lambda_ in range(0,len(tuned_parameter)-1):
    print ('....................................',lambda_)
    i=0
    appended_data = []


    for train_index, test_index in kf.split(X):

        print("Train:", train_index, "Validation:",test_index)
        X_train, X_test = X.iloc[train_index], X.iloc[test_index]
        print ('X train ............',X_train.shape)
        print ('X_test...............',X_test.shape)
        mean_returns_Train = X_train.mean()
        cov_matrix_Train=X_train.cov()
        mean_returns_Test = X_test.mean()
        cov_matrix_Test = X_test.cov()      
        max_s, min_s = display_simulated_ef_with_random(mean_returns_Train, cov_matrix_Train, num_portfolios, risk_free_rate,returns, tuned_parameter[lambda_])
        #print (max_s.T)
        appended_data.append(max_s.T)


    appended_data = pd.concat(appended_data, axis=1)      
    whole_dataframes['Variable{}'.format(i)]=appended_data.mean(axis=1)
    print (whole_dataframes['Variable{}'.format(i)])
    i=i+1

动态数据框名称创建

1 个答案: