tech.tablesaw.io.csv

Class CsvReadOptions

java.lang.Object

tech.tablesaw.io.csv.CsvReadOptions

public class CsvReadOptions
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CsvReadOptions.Builder

Method Summary

Modifier and Type	Method and Description
static CsvReadOptions.Builder	builder(File file)
static CsvReadOptions.Builder	builder(InputStream stream, String tableName) This method may cause tablesaw to buffer the entire InputStream.
static CsvReadOptions.Builder	builder(Reader reader, String tableName) This method may cause tablesaw to buffer the entire InputStream.
static CsvReadOptions.Builder	builder(String fileName)
ColumnType[]	columnTypes()
DateTimeFormatter	dateFormatter()
DateTimeFormatter	dateTimeFormatter()
File	file()
boolean	header()
InputStream	inputStream()
String	lineEnding()
Locale	locale()
Integer	maxNumberOfColumns()
String	missingValueIndicator()
Reader	reader()
boolean	sample()
Character	separator()
String	tableName()
DateTimeFormatter	timeFormatter()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

builder

public static CsvReadOptions.Builder builder(File file)

builder

public static CsvReadOptions.Builder builder(String fileName)

builder

public static CsvReadOptions.Builder builder(InputStream stream,
                                             String tableName)

This method may cause tablesaw to buffer the entire InputStream.

If you have a large amount of data, you can do one of the following: 1. Use the method taking a File instead of a stream, or 2. Provide the array of column types as an option. If you provide the columnType array, we skip type detection and can avoid reading the entire file

builder

public static CsvReadOptions.Builder builder(Reader reader,
                                             String tableName)

This method may cause tablesaw to buffer the entire InputStream.

If you have a large amount of data, you can do one of the following: 1. Use the method taking a File instead of a reader, or 2. Provide the array of column types as an option. If you provide the columnType array, we skip type detection and can avoid reading the entire file

file

public File file()

reader

public Reader reader()

inputStream

public InputStream inputStream()

tableName

public String tableName()

columnTypes

public ColumnType[] columnTypes()

header

public boolean header()

separator

public Character separator()

lineEnding

public String lineEnding()

sample

public boolean sample()

missingValueIndicator

public String missingValueIndicator()

locale

public Locale locale()

dateTimeFormatter

public DateTimeFormatter dateTimeFormatter()

timeFormatter

public DateTimeFormatter timeFormatter()

dateFormatter

public DateTimeFormatter dateFormatter()

maxNumberOfColumns

public Integer maxNumberOfColumns()