Java 类名：com.alibaba.alink.operator.batch.utils.PrintBatchOp
Python 类名：PrintBatchOp

功能介绍

打印表中数据。

使用方式

参数说明

| 名称 | 中文名称 | 描述 | 类型 | 是否必须？ | 取值范围 | 默认值 | | —- | —- | —- | —- | —- | —- | —- |

代码示例

Python 代码

  1. from pyalink.alink import *
  3. import pandas as pd
  5. useLocalEnv(1)
  7. df = pd.DataFrame([
  8.        ["0,0,0"],
  9.        ["0.1,0.1,0.1"],
  10.        ["0.2,0.2,0.2"],
  11.        ["9,9,9"],
  12.        ["9.1,9.1,9.1"],
  13.        ["9.2,9.2,9.2"]
  14. ])
  16. # batch source 
  17. inOp = BatchOperator.fromDataframe(df, schemaStr='y string')
  19. inOp.print()

Java 代码

  1. import org.apache.flink.types.Row;
  3. import com.alibaba.alink.operator.batch.BatchOperator;
  4. import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
  5. import org.junit.Test;
  7. import java.util.Arrays;
  8. import java.util.List;
  10. public class PrintBatchOpTest {
  11.     @Test
  12.     public void testPrintBatchOp() throws Exception {
  13.         List <Row> df = Arrays.asList(
  14.             Row.of("0,0,0"),
  15.             Row.of("0.1,0.1,0.1"),
  16.             Row.of("0.2,0.2,0.2"),
  17.             Row.of("9,9,9"),
  18.             Row.of("9.1,9.1,9.1"),
  19.             Row.of("9.2,9.2,9.2")
  20.         );
  21.         BatchOperator <?> inOp = new MemSourceBatchOp(df, "y string");
  22.         inOp.print();
  23.     }
  24. }

运行结果

| y | | —- |

| 0,0,0 |

| 0.1,0.1,0.1 |

| 0.2,0.2,0.2 |

| 9,9,9 |

| 9.1,9.1,9.1 |

| 9.2,9.2,9.2 |