FSharp.Data.Tdms
provides support for TDMS 2.0 files<<#the-ni-tdms-file-format-entry,[1]>>
from F# and C# on .NET 6 and later. From F# it allows you to access these in a
type-safe manner through a generative type
provider,
while plain old functions and methods are available to both F# and C#.
FSharp.Data.Tdms
reads raw channel data from TDMS 2.0 files as arrays.
-
Reading DAQmx raw data
-
Defragmenting TDMS files
-
Writing TDMS files
FSharp.Data.Tdms
is licensed under an MIT License. Please refer to
LICENSE
for its full text.
To add FSharp.Data.Tdms
to a project using the .NET CLI, run the command:
dotnet add package FSharp.Data.Tdms --version 1.0.0-alpha.111
Be sure to replace 1.0.0-alpha.111
by the version you want to install.
For interactive use, either in C# or F#, add the following directive to your script file or enter it into your REPL (e.g. dotnet fsi
):
#r "nuget: FSharp.Data.Tdms, 1.0.0-alpha.111"
Be sure to replace 1.0.0-alpha.111
by the version you want to use.
Using the generative type provider, given a TDMS file Experiment.tdms
with a channel containing floating-point values named Channel1
within
a group named Group1
:
#r "nuget: FSharp.Data.Tdms"
open FSharp.Data
[<Literal>]
let Path = "Experiment.tdms"
type Experiment = TdmsProvider<Path, WriteIndex = true>
let experiment = Experiment(Path)
experiment.Group1.Channel1.Data |> Array.iter (printfn "%f")
Alternatively, use the functions in the FSharp.Data.Tdms
namespace,
mainly those in the File
module:
#r "nuget: FSharp.Data.Tdms"
open FSharp.Data.Tdms
File.read "Experiment.tdms" true
|> File.tryRawData<float> "Group1" "Channel1"
|> Option.defaultValue [||]
|> Array.iter (printfn "%f")
These functions have asynchronous equivalents:
#r "nuget: FSharp.Data.Tdms"
open FSharp.Data.Tdms
task {
let! file = File.readAsync "Experiment.tdms" true
let! data = File.tryRawDataAsync<float> "Group1" "Channel1"
Option.defaultValue data
|> Array.iter (printfn "%f")
}
|> Async.AwaitTask
|> Async.RunSynchronously
When using FSharp.Data.Tdms
from C#, prefer the API for idiomatic C#:
using System;
using FSharp.Data.Tdms;
class Program
{
static void Main(string[] args)
{
File.Read("Experiment.tdms", true).TryGetRawData("Group1", "Channel1", out double[] data);
foreach (double sample in data)
{
Console.WriteLine(sample);
}
}
}
Or asynchronously:
using System;
using FSharp.Data.Tdms;
class Program
{
static async Task Main(string[] args)
{
var file = await File.ReadAsync("Experiment.tdms", true);
var data = await file.TryGetRawDataAsync("Group1", "Channel1");
foreach (double sample in data)
{
Console.WriteLine(sample);
}
}
}
Most TDMS 2.0 data types directly map to .NET data types. The first
exception is tdsTypeTimeStamp
, which you can read as either
FSharp.Data.Tdms.Timestamp
(this data
type corresponds to the NI LabVIEW
timestamp),
System.DateTime
, System.DateTimeOffset
, or System.TimeSpan
. In
case of System.TimeSpan
, FSharp.Data.Tdms
returns the time elapsed
since 01/01/1904 00:00:00.00 UTC
, as per this support document from
NI.
The second exception is tdsTypeExtendedFloat
. Since .NET do not
support 80-bit extended precision floating point numbers,
FSharp.Data.Tdms
reads these as
FSharp.Data.Tdms.Extended
values.
FSharp.Data.Tdms
Name |
TDMS 2.0 data type |
.NET data type |
F# alias |
C# alias |
Void |
|
|
None |
|
8-bit signed integer |
|
|
|
|
16-bit signed integer |
|
|
|
|
32-bit signed integer |
|
|
|
|
64-bit signed integer |
|
|
|
|
8-bit unsigned integer |
|
|
|
|
16-bit unsigned integer |
|
|
|
|
32-bit unsigned integer |
|
|
|
|
64-bit unsigned integer |
|
|
|
|
32-bit single-precision floating point |
|
|
|
|
64-bit double-precision floating point |
|
|
|
|
80-bit extended-precision floating point |
|
|
None |
|
Character string |
|
|
|
|
Boolean |
|
|
|
|
Timestamp |
|
None |
None |
|
32-bit single-precision floating point complex |
|
|
|
|
64-bit double-precision floating point complex |
|
None |
None |
The BenchmarkDotNet benchmarks in this
section give an idea of the performance of FSharp.Data.Tdms
when
compared to TDMSReader
,
the only other TDMS 2.0 implementation which works on .NET 6 and later. Since
TDMSReader
does not support reading TDMS index files, the benchmark
disables this feature for FSharp.Data.Tdms
as well, for a fair
comparison. This means that FSharp.Data.Tdms
may perform better in
practice for TDMS files with many raw data segments.
This benchmark reads 30,489 double-precision floating points from a segmented 3.1 MB TDMS 2.0 file.
BenchmarkDotNet=v0.13.2, OS=opensuse-tumbleweed 20221223
AMD Ryzen 9 5950X, 1 CPU, 32 logical and 16 physical cores
.NET SDK=7.0.101
[Host] : .NET 7.0.1 (7.0.122.56804), X64 RyuJIT AVX2 DEBUG
.NET 7.0 : .NET 7.0.1 (7.0.122.56804), X64 RyuJIT AVX2
Job=.NET 7.0 Runtime=.NET 7.0
Method | Mean | Error | StdDev | Ratio |
---|---|---|---|---|
TDMSReader | 1,677.4 μs | 3.55 μs | 2.96 μs | 1.00 |
FSharpDataTdms | 741.4 μs | 4.04 μs | 3.78 μs | 0.44 |
FSharpDataTdmsAsync | 882.0 μs | 13.53 μs | 12.65 μs | 0.52 |
This benchmark reads a channel of 43,200 strings from a segmented 138.1 MB TDMS 2.0 file.
BenchmarkDotNet=v0.13.2, OS=opensuse-tumbleweed 20221223
AMD Ryzen 9 5950X, 1 CPU, 32 logical and 16 physical cores
.NET SDK=7.0.101
[Host] : .NET 7.0.1 (7.0.122.56804), X64 RyuJIT AVX2 DEBUG
.NET 7.0 : .NET 7.0.1 (7.0.122.56804), X64 RyuJIT AVX2
Job=.NET 7.0 Runtime=.NET 7.0
Method | Mean | Error | StdDev | Ratio |
---|---|---|---|---|
TDMSReader | 8.570 s | 0.0539 s | 0.0505 s | 1.00 |
FSharpDataTdms | 2.581 s | 0.0105 s | 0.0098 s | 0.30 |
FSharpDataTdmsAsync | 2.691 s | 0.0526 s | 0.0516 s | 0.31 |
This benchmark reads a channel of 779,297 double-precision floating points from a segmented 1.54 GB TDMS 2.0 file.
BenchmarkDotNet=v0.13.2, OS=opensuse-tumbleweed 20221223
AMD Ryzen 9 5950X, 1 CPU, 32 logical and 16 physical cores
.NET SDK=7.0.101
[Host] : .NET 7.0.1 (7.0.122.56804), X64 RyuJIT AVX2 DEBUG
.NET 7.0 : .NET 7.0.1 (7.0.122.56804), X64 RyuJIT AVX2
Job=.NET 7.0 Runtime=.NET 7.0
Method | Mean | Error | StdDev | Ratio |
---|---|---|---|---|
TDMSReader | 996.0 ms | 8.77 ms | 7.77 ms | 1.00 |
FSharpDataTdms | 522.1 ms | 5.81 ms | 5.43 ms | 0.52 |
FSharpDataTdmsAsync | 654.5 ms | 6.84 ms | 6.07 ms | 0.66 |
Imposter syndrome disclaimer: I want your help. No really, I do.
There might be a little voice inside that tells you you’re not ready; that you need to do one more tutorial, or learn another framework, or write a few more blog posts before you can help me with this project.
I assure you, that’s not the case.
And you don’t just have to write code. You can help out by writing documentation, tests, or even by giving feedback about this work. (And yes, that includes giving feedback about the contribution guidelines.)
Thank you for contributing!
<<#the-ni-tdms-file-format,[1]>>
National Instruments. 2019. The NI TDMS File Format. (January 2019).
Retrieved January 12, 2019 from
http://www.ni.com/white-paper/3727/en/
.