importpandasaspd# 从 CSV 文件读取数据集data=pd.read_csv('data.csv')# 划分数据集train_data=data.sample(frac=0.8)# 80% 的样本作为训练集test_data=data.drop(train_data.index)# 剩下的样本作为测试集# 打印划分后的数据集print("训练集:")print(
27. data_all_Sampling.to_csv(file_path_out)28. print('导出数据成功!')29. print(data_all_Sampling)30.
pandas sample用法 该函数是从该列中随机抽取数据不排列。 数据集 代码: train=pd.read_csv('./1.csv') print(train['q'].sample(1)) 输出: 2 3 Name: q, dtype: int64 2是索引号 3是值。 多抽取几个样本后 train=pd.read_csv('./1.csv') print(train['q'].sample(3)) 输出:...
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