Page Comparison

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Info

title	Availability

This routine is available since starting with katl-commons 4.0.8.

Syntax

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readFromCSVFile(path, hasHeader [, charset])

Description

...

Excerpt
Read the values from the CSV filem, returning them into an array, of N rows * M columns values

Parameters

...

Parameter name
Type
Required
Description
path
string
Yes
Specifies the file name to read from.
hasHeader boolean Yes Specifies if the file has header.
charset string No Specifies the charset used to read that file.

Return type

...

string []
The values from the file, as a string array.

Example

...

On it's basic form, the routine can be used like simply:
...
Unless calendaristic dates are in formats SIL can understand, dates should be imported as strings and further parsed afterwards in your SIL program.

Notes

...

Note
You can use absolute paths and relative paths to "sil.home".
If the header exist, it must not have duplicated columns, otherwise you need to skip it manually
If the file is not found, an error will be raised.

Versions Compared

Old Version 2

New Version 3

Key

Syntax

readFromCSVFile(path, hasHeader [, charset])

Description

Excerpt
Read the values from the CSV filem, returning them into an array, of N rows * M columns values

Parameters

Parameter name
Type
Required
Description
path
string
Yes
Specifies the file name to read from.
hasHeader boolean Yes Specifies if the file has header.
charset string No Specifies the charset used to read that file.

Return type

string []
The values from the file, as a string array.

Example

On it's basic form, the routine can be used like simply:
...
Unless calendaristic dates are in formats SIL can understand, dates should be imported as strings and further parsed afterwards in your SIL program.

Notes

Note
You can use absolute paths and relative paths to "sil.home".
If the header exist, it must not have duplicated columns, otherwise you need to skip it manually
If the file is not found, an error will be raised.

See also

Filter by label (Content by label)
showLabels false
showSpace false
cql label = "file_routines"
labels file_routines

Parameter name	Type	Required	Description
path	string	Yes	Specifies the file name to read from.
hasHeader	boolean	Yes	Specifies if the file has header.
charset	string	No	Specifies the charset used to read that file.

Page Comparison

Versions Compared

Old Version 2

New Version 3

Key

Syntax

readFromCSVFile(path, hasHeader [, charset])

Description

ExcerptRead the values from the CSV filem, returning them into an array, of N rows * M columns values

Parameters

Parameter nameTypeRequiredDescriptionpathstringYesSpecifies the file name to read from.hasHeaderbooleanYesSpecifies if the file has header.charsetstringNoSpecifies the charset used to read that file.

Return type

string []The values from the file, as a string array.

Example

On it's basic form, the routine can be used like simply:... Unless calendaristic dates are in formats SIL can understand, dates should be imported as strings and further parsed afterwards in your SIL program.

Notes

NoteYou can use absolute paths and relative paths to "sil.home".If the header exist, it must not have duplicated columns, otherwise you need to skip it manually If the file is not found, an error will be raised.

See also

Filter by label (Content by label)showLabelsfalseshowSpacefalsecqllabel = "file_routines"labelsfile_routines

Excerpt
Read the values from the CSV filem, returning them into an array, of N rows * M columns values

Parameter name
Type
Required
Description
path
string
Yes
Specifies the file name to read from.
hasHeader boolean Yes Specifies if the file has header.
charset string No Specifies the charset used to read that file.

string []
The values from the file, as a string array.

On it's basic form, the routine can be used like simply:
...
Unless calendaristic dates are in formats SIL can understand, dates should be imported as strings and further parsed afterwards in your SIL program.

Note
You can use absolute paths and relative paths to "sil.home".
If the header exist, it must not have duplicated columns, otherwise you need to skip it manually
If the file is not found, an error will be raised.

Filter by label (Content by label)
showLabels false
showSpace false
cql label = "file_routines"
labels file_routines