DataFrame.LoadCsv Method
Definition
Important
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Overloads
| LoadCsv(Stream, Char, Boolean, String[], Type[], Int64, Int32, Boolean, Encoding, Boolean, CultureInfo) |
Reads a seekable stream of CSV data into a DataFrame. |
| LoadCsv(String, Char, Boolean, String[], Type[], Int32, Int32, Boolean, Encoding, Boolean, CultureInfo) |
Reads a text file as a DataFrame. |
LoadCsv(Stream, Char, Boolean, String[], Type[], Int64, Int32, Boolean, Encoding, Boolean, CultureInfo)
Reads a seekable stream of CSV data into a DataFrame.
public static Microsoft.Data.Analysis.DataFrame LoadCsv (System.IO.Stream csvStream, char separator = ',', bool header = true, string[] columnNames = default, Type[] dataTypes = default, long numberOfRowsToRead = -1, int guessRows = 10, bool addIndexColumn = false, System.Text.Encoding encoding = default, bool renameDuplicatedColumns = false, System.Globalization.CultureInfo cultureInfo = default);static member LoadCsv : System.IO.Stream * char * bool * string[] * Type[] * int64 * int * bool * System.Text.Encoding * bool * System.Globalization.CultureInfo -> Microsoft.Data.Analysis.DataFramePublic Shared Function LoadCsv (csvStream As Stream, Optional separator As Char = ',', Optional header As Boolean = true, Optional columnNames As String() = Nothing, Optional dataTypes As Type() = Nothing, Optional numberOfRowsToRead As Long = -1, Optional guessRows As Integer = 10, Optional addIndexColumn As Boolean = false, Optional encoding As Encoding = Nothing, Optional renameDuplicatedColumns As Boolean = false, Optional cultureInfo As CultureInfo = Nothing) As DataFrameParameters
- csvStream
- Stream
stream of CSV data to be read in
- separator
- Char
column separator
- header
- Boolean
has a header or not
- columnNames
- String[]
column names (can be empty)
- dataTypes
- Type[]
column types (can be empty)
- numberOfRowsToRead
- Int64
number of rows to read not including the header(if present)
- guessRows
- Int32
number of rows used to guess types
- addIndexColumn
- Boolean
add one column with the row index
- encoding
- Encoding
The character encoding. Defaults to UTF8 if not specified
- renameDuplicatedColumns
- Boolean
If set to true, columns with repeated names are auto-renamed.
- cultureInfo
- CultureInfo
culture info for formatting values
Returns
Applies to
LoadCsv(String, Char, Boolean, String[], Type[], Int32, Int32, Boolean, Encoding, Boolean, CultureInfo)
Reads a text file as a DataFrame.
public static Microsoft.Data.Analysis.DataFrame LoadCsv (string filename, char separator = ',', bool header = true, string[] columnNames = default, Type[] dataTypes = default, int numRows = -1, int guessRows = 10, bool addIndexColumn = false, System.Text.Encoding encoding = default, bool renameDuplicatedColumns = false, System.Globalization.CultureInfo cultureInfo = default);static member LoadCsv : string * char * bool * string[] * Type[] * int * int * bool * System.Text.Encoding * bool * System.Globalization.CultureInfo -> Microsoft.Data.Analysis.DataFramePublic Shared Function LoadCsv (filename As String, Optional separator As Char = ',', Optional header As Boolean = true, Optional columnNames As String() = Nothing, Optional dataTypes As Type() = Nothing, Optional numRows As Integer = -1, Optional guessRows As Integer = 10, Optional addIndexColumn As Boolean = false, Optional encoding As Encoding = Nothing, Optional renameDuplicatedColumns As Boolean = false, Optional cultureInfo As CultureInfo = Nothing) As DataFrameParameters
- filename
- String
filename
- separator
- Char
column separator
- header
- Boolean
has a header or not
- columnNames
- String[]
column names (can be empty)
- dataTypes
- Type[]
column types (can be empty)
- numRows
- Int32
number of rows to read
- guessRows
- Int32
number of rows used to guess types
- addIndexColumn
- Boolean
add one column with the row index
- encoding
- Encoding
The character encoding. Defaults to UTF8 if not specified
- renameDuplicatedColumns
- Boolean
If set to true, columns with repeated names are auto-renamed.
- cultureInfo
- CultureInfo
culture info for formatting values
Returns
DataFrame