Description

Transform data type from Columns to Csv.

Parameters

Name Description Type Required？ Default Value
handleInvalid Strategy to handle unseen token String “ERROR”
reservedCols Names of the columns to be retained in the output table String[] null
csvCol Name of the CSV column String ✓
schemaStr Formatted schema String ✓
csvFieldDelimiter Field delimiter String “,”
quoteChar quote char Character “\””
selectedCols Names of the columns used for processing String[] null

Script Example

Code

  1. import numpy as np
  2. import pandas as pd
  5. data = np.array([['1', '{"f0":"1.0","f1":"2.0"}', '$3$0:1.0 1:2.0', 'f0:1.0,f1:2.0', '1.0,2.0', 1.0, 2.0],
  6. ['2', '{"f0":"4.0","f1":"8.0"}', '$3$0:4.0 1:8.0', 'f0:4.0,f1:8.0', '4.0,8.0', 4.0, 8.0]])
  8. df = pd.DataFrame({"row":data[:,0], "json":data[:,1], "vec":data[:,2], "kv":data[:,3], "csv":data[:,4], "f0":data[:,5], "f1":data[:,6]})
  9. data = dataframeToOperator(df, schemaStr="row string, json string, vec string, kv string, csv string, f0 double, f1 double",op_type="stream")
  12. op = ColumnsToCsvStreamOp()\
  13.     .setSelectedCols(["f0", "f1"])\
  14.     .setReservedCols(["row"]).setCsvCol("csv").setSchemaStr("f0 double, f1 double")\
  15.     .linkFrom(data)
  16. op.print()
  17. StreamOperator.execute()

Results

row csv
1 1.0,2.0
2 4.0,8.0