Csv.Document
Returns the contents of the CSV document as a table.
Syntax
Csv.Document(
source as any,
optional columns as any,
optional delimiter as any,
optional extraValues as number,
optional encoding as TextEncoding.Type
) as table
Remarks
Returns the contents of the CSV document as a table.
-
columns
can be null, the number of columns, a list of column names, a table type, or an options record. -
delimiter
can be a single character, a list of characters, or the value""
, which indicates rows should be split by consecutive whitespace characters. Default:","
. - Refer to
ExtraValues.Type
for the supported values ofextraValues
. -
encoding
specifies the text encoding type.
columns
(and delimiter
, extraValues
, and encoding
are null), the following record fields may be provided: -
Delimiter
: The column delimiter. Default:","
. -
Columns
: Can be null, the number of columns, a list of column names, or a table type. If the number of columns is lower than the number found in the input, the additional columns will be ignored. If the number of columns is higher than the number found in the input, the additional columns will be null. When not specified, the number of columns will be determined by what is found in the input. -
Encoding
: The text encoding of the file. Default: 65001 (UTF-8). -
CsvStyle
: Specifies how quotes are handled.-
CsvStyle.QuoteAfterDelimiter
(default): Quotes in a field are only significant immediately following the delimiter. -
CsvStyle.QuoteAlways
: Quotes in a field are always significant, regardless of where they appear.
-
-
QuoteStyle
: Specifies how quoted line breaks are handled.-
QuoteStyle.Csv
(default): Quoted line breaks are treated as part of the data, not as the end of the current row. -
QuoteStyle.None
: All line breaks are treated as the end of the current row, even when they occur inside a quoted value.
-
Examples
Example #1
Process CSV text with column headers
let
csv = Text.Combine({"OrderID,Item", "1,Fishing rod", "2,1 lb. worms"}, "#(cr)#(lf)")
in
Table.PromoteHeaders(Csv.Document(csv))
Result:
Table.FromRecords({
[OrderID = "1", Item = "Fishing rod"],
[OrderID = "2", Item = "1 lb. worms"]
})
Category
Accessing data