public class DataFrameLoader extends Object
| Modifier and Type | Method and Description |
|---|---|
static DataFrame |
fromCSV(byte[] bytes,
char separator,
boolean header)
Loads a data frame from a byte array using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(byte[] bytes,
char separator,
String headerPrefix)
Loads a data frame from a byte array using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(File file,
char separator,
boolean header)
Loads a data frame from a file using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(File file,
char separator,
String headerPrefix)
Loads a data frame from a file string using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(InputStream is,
char separator,
boolean header)
Loads a data frame from a
InputStream using the CSV format (CSVFormat). |
static DataFrame |
fromCSV(InputStream is,
char separator,
String headerPrefix)
Loads a data frame from a
InputStream using the CSV format (CSVFormat). |
static DataFrame |
fromCSV(Reader r,
char separator,
boolean header)
|
static DataFrame |
fromCSV(Reader r,
char separator,
String headerPrefix)
|
static DataFrame |
fromCSV(String content,
char separator,
boolean header)
Loads a data frame from a content string using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(String content,
char separator,
String headerPrefix)
Loads a data frame from a content string using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(String resource,
ClassLoader classLoader,
char separator,
boolean header)
Loads a data frame from a URL array using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(String resource,
ClassLoader classLoader,
char separator,
String headerPrefix)
Loads a data frame from a resource using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(URL url,
char separator,
boolean header)
Loads a data frame from a URL array using the CSV format (
CSVFormat). |
static DataFrame |
fromCSV(URL url,
char separator,
String headerPrefix)
Loads a data frame from a url using the CSV format (
CSVFormat). |
static DataFrame |
load(byte[] bytes)
Loads a data frame from a byte array using the default tab separated format (
TSVFormat). |
static DataFrame |
load(byte[] bytes,
DataReader reader)
Loads a data frame from a byte array using a specified
DataReader |
static DataFrame |
load(byte[] bytes,
ReadFormat readFormat)
Loads a data frame from a byte array using a specified
ReadFormat. |
static DataFrame |
load(DataIterator<?> dataIterator)
Loads a data frame from a
DataIterator |
static DataFrame |
load(DataIterator<?> dataIterator,
FilterPredicate predicate)
Loads a data frame from a
DataIterator and filters all rows using a specified predicate |
static DataFrame |
load(File file)
Loads a data frame from a file.
|
static DataFrame |
load(File file,
DataReader reader)
Loads a data frame from a file using a specified
DataReader |
static DataFrame |
load(File file,
File metaFile)
Loads a data frame from a file and the corresponding meta file.
|
static DataFrame |
load(File file,
File metaFile,
FilterPredicate filterPredicate)
Loads a data frame from a file and the corresponding meta file.
|
static DataFrame |
load(File file,
FilterPredicate filterPredicate)
Loads a data frame from a file.
|
static DataFrame |
load(File file,
ReadFormat readFormat)
Loads a data frame from a file using a specified
ReadFormat. |
static DataFrame |
load(InputStream is)
Loads a data frame from a
InputStream using the default tab separated format (TSVFormat). |
static DataFrame |
load(InputStream is,
DataReader reader)
Loads a data frame from a
InputStream using a specified DataReader |
static DataFrame |
load(InputStream is,
ReadFormat readFormat)
Loads a data frame from a
InputStream using a specified ReadFormat. |
static DataFrame |
load(Reader reader)
|
static DataFrame |
load(Reader r,
DataReader reader)
Loads a data frame from a
Reader using a specified DataReader |
static DataFrame |
load(Reader r,
ReadFormat readFormat)
Loads a data frame from a
Reader using a specified ReadFormat. |
static DataFrame |
load(String content)
Loads a data frame from a content string using the default tab separated format (
TSVFormat). |
static DataFrame |
load(String resource,
ClassLoader classLoader)
Loads a data frame from a resource using the default tab separated format (
TSVFormat). |
static DataFrame |
load(String resource,
ClassLoader classLoader,
DataReader reader)
Loads a data frame from a resource using a specified
DataReader |
static DataFrame |
load(String resource,
ClassLoader classLoader,
ReadFormat readFormat)
Loads a data frame from a resource using a specified
ReadFormat |
static DataFrame |
load(String content,
DataReader reader)
Loads a data frame from a content String using a specified
DataReader |
static DataFrame |
load(String content,
ReadFormat readFormat)
Loads a data frame from a content String using a specified
ReadFormat. |
static DataFrame |
load(URL url)
Loads a data frame from a URL using the default tab separated format (
TSVFormat). |
static DataFrame |
load(URL url,
DataReader reader)
Loads a data frame from a URL using a specified
DataReader |
static DataFrame |
load(URL url,
ReadFormat readFormat)
Loads a data frame from a URL array using a specified
ReadFormat. |
static DataFrame |
loadResource(String path,
String metaPath,
ClassLoader classLoader)
Loads a data frame from a resource and the corresponding meta resource.
|
static DataFrame |
loadResource(String path,
String metaPath,
ClassLoader classLoader,
FilterPredicate filterPredicate)
Loads a data frame from a resource and the corresponding meta resource.
|
public static DataFrame fromCSV(File file, char separator, String headerPrefix)
CSVFormat).
The column separator can be specified.
If the header starts with a certain prefix it can be specified, otherwise the prefix should be set to "" or nullfile - input fileseparator - column separatorheaderPrefix - header prefixpublic static DataFrame fromCSV(String content, char separator, String headerPrefix)
CSVFormat).
The column separator can be specified.
If the header starts with a certain prefix it can be specified, otherwise the prefix should be set to "" or nullcontent - content stringseparator - column separatorheaderPrefix - header prefixpublic static DataFrame fromCSV(String resource, ClassLoader classLoader, char separator, String headerPrefix)
CSVFormat).
The column separator can be specified.
If the header starts with a certain prefix it can be specified, otherwise the prefix should be set to "" or nullresource - resource pathclassLoader - class loader used to find the resourceseparator - column separatorheaderPrefix - header prefixpublic static DataFrame fromCSV(URL url, char separator, String headerPrefix)
CSVFormat).
The column separator can be specified.
If the header starts with a certain prefix it can be specified, otherwise the prefix should be set to "" or nullurl - input urlseparator - column separatorheaderPrefix - header prefixpublic static DataFrame fromCSV(byte[] bytes, char separator, String headerPrefix)
CSVFormat).
The column separator can be specified.
If the header starts with a certain prefix it can be specified, otherwise the prefix should be set to "" or nullbytes - input byte arrayseparator - column separatorheaderPrefix - header prefixpublic static DataFrame fromCSV(InputStream is, char separator, String headerPrefix)
InputStream using the CSV format (CSVFormat).
The column separator can be specified.
If the header starts with a certain prefix it can be specified, otherwise the prefix should be set to "" or nullis - input streamseparator - column separatorheaderPrefix - header prefixpublic static DataFrame fromCSV(Reader r, char separator, String headerPrefix)
Reader using the CSV format (CSVFormat).
The column separator can be specified.
If the header starts with a certain prefix it can be specified, otherwise the prefix should be set to "" or nullr - input readerseparator - column separatorheaderPrefix - header prefixpublic static DataFrame fromCSV(File file, char separator, boolean header)
CSVFormat).
The column separator can be specified. If the CSV contains no header, the columns are named V1, V2,...file - input fileseparator - column separatorheader - specifies wether the csv contains a header or notpublic static DataFrame fromCSV(String content, char separator, boolean header)
CSVFormat).
The column separator can be specified. If the CSV contains no header, the columns are named V1, V2,...content - content stringseparator - column separatorheader - specifies wether the csv contains a header or notpublic static DataFrame fromCSV(String resource, ClassLoader classLoader, char separator, boolean header)
CSVFormat).
The column separator can be specified. If the CSV contains no header, the columns are named V1, V2,...resource - resource pathclassLoader - class loader used to find the resourceseparator - column separatorheader - specifies wether the csv contains a header or notpublic static DataFrame fromCSV(URL url, char separator, boolean header)
CSVFormat).
The column separator can be specified. If the CSV contains no header, the columns are named V1, V2,...url - input urlseparator - column separatorheader - specifies wether the csv contains a header or notpublic static DataFrame fromCSV(byte[] bytes, char separator, boolean header)
CSVFormat).
The column separator can be specified. If the CSV contains no header, the columns are named V1, V2,...bytes - input byte arrayseparator - column separatorheader - specifies wether the csv contains a header or notpublic static DataFrame fromCSV(InputStream is, char separator, boolean header)
InputStream using the CSV format (CSVFormat).
The column separator can be specified. If the CSV contains no header, the columns are named V1, V2,...is - input streamseparator - column separatorheader - specifies wether the csv contains a header or notpublic static DataFrame fromCSV(Reader r, char separator, boolean header)
Reader using the CSV format (CSVFormat).
The column separator can be specified. If the CSV contains no header, the columns are named V1, V2,...r - input readerseparator - column separatorheader - specifies wether the csv contains a header or notpublic static DataFrame load(String content)
TSVFormat).content - content stringpublic static DataFrame load(String resource, ClassLoader classLoader)
TSVFormat).resource - resource pathclassLoader - class loader used to find the resourcepublic static DataFrame load(URL url)
TSVFormat).url - input urlpublic static DataFrame load(byte[] bytes)
TSVFormat).bytes - input byte arraypublic static DataFrame load(InputStream is)
InputStream using the default tab separated format (TSVFormat).is - input streampublic static DataFrame load(Reader reader)
reader - input readerpublic static DataFrame load(File file, ReadFormat readFormat)
ReadFormat.file - input filereadFormat - read formatpublic static DataFrame load(String content, ReadFormat readFormat)
ReadFormat.content - content stringreadFormat - read formatpublic static DataFrame load(String resource, ClassLoader classLoader, ReadFormat readFormat)
ReadFormatresource - resource pathclassLoader - ClassLoader used to find the resourcereadFormat - read formatpublic static DataFrame load(URL url, ReadFormat readFormat)
ReadFormat.url - input urlreadFormat - read formatpublic static DataFrame load(byte[] bytes, ReadFormat readFormat)
ReadFormat.bytes - input byte arrayreadFormat - read formatpublic static DataFrame load(InputStream is, ReadFormat readFormat)
InputStream using a specified ReadFormat.is - input streamreadFormat - read formatpublic static DataFrame load(Reader r, ReadFormat readFormat)
Reader using a specified ReadFormat.r - input readerreadFormat - read formatpublic static DataFrame load(File file, DataReader reader)
DataReaderfile - input filereader - data readerpublic static DataFrame load(String content, DataReader reader)
DataReadercontent - content stringreader - data readerpublic static DataFrame load(String resource, ClassLoader classLoader, DataReader reader)
DataReaderresource - resource pathclassLoader - ClassLoader used to find the resourcereader - data readerpublic static DataFrame load(URL url, DataReader reader)
DataReaderurl - input urlreader - data readerpublic static DataFrame load(byte[] bytes, DataReader reader)
DataReaderbytes - input byte arrayreader - data readerpublic static DataFrame load(InputStream is, DataReader reader)
InputStream using a specified DataReaderis - inputreader - data readerpublic static DataFrame load(Reader r, DataReader reader)
Reader using a specified DataReaderr - input readerreader - data readerpublic static DataFrame load(DataIterator<?> dataIterator)
DataIteratordataIterator - data iteratorpublic static DataFrame load(DataIterator<?> dataIterator, FilterPredicate predicate)
DataIterator and filters all rows using a specified predicatedataIterator - data iteratorpredicate - filter predicatepublic static DataFrame load(File file, FilterPredicate filterPredicate)
file+'.dfm'file - data frame filefilterPredicate - row filterpublic static DataFrame load(File file)
file+'.dfm'file - data frame filepublic static DataFrame load(File file, File metaFile, FilterPredicate filterPredicate)
file - data frame filemetaFile - data frame meta filefilterPredicate - row filterpublic static DataFrame load(File file, File metaFile)
file - data frame filemetaFile - data frame meta filepublic static DataFrame loadResource(String path, String metaPath, ClassLoader classLoader, FilterPredicate filterPredicate)
path - path to data frame resourcemetaPath - path to meta file resoureclassLoader - class loader for the resourcefilterPredicate - row filterpublic static DataFrame loadResource(String path, String metaPath, ClassLoader classLoader)
path - path to data frame resourcemetaPath - path to meta file resoureclassLoader - class loader for the resourceCopyright © 2020. All rights reserved.