ManagedCode.TimeSeries
0.0.18
Prefix Reserved
dotnet add package ManagedCode.TimeSeries --version 0.0.18
NuGet\Install-Package ManagedCode.TimeSeries -Version 0.0.18
<PackageReference Include="ManagedCode.TimeSeries" Version="0.0.18" />
paket add ManagedCode.TimeSeries --version 0.0.18
#r "nuget: ManagedCode.TimeSeries, 0.0.18"
// Install ManagedCode.TimeSeries as a Cake Addin #addin nuget:?package=ManagedCode.TimeSeries&version=0.0.18 // Install ManagedCode.TimeSeries as a Cake Tool #tool nuget:?package=ManagedCode.TimeSeries&version=0.0.18
TimeSeries
Version | Package | Description |
---|---|---|
ManagedCode.TimeSeries | Core |
Motivation
Time series data is a common type of data in many applications, such as finance, physics, and engineering. It is often necessary to store and manipulate large amounts of time series data efficiently in order to perform analysis and make predictions.
Our C# library, TimeSeries, provides convenient tools for working with time series data in C#. It includes classes for accumulating and summarizing data in time frames, as well as storing and compressing the data efficiently. This makes it easy to add and manage time series data in your C# projects.
Features
- Accumulators for adding data to time frames.
- Summers for summarizing data in time frames.
- Efficient storage and compression of time series data.
Example
Here's an example of how you might use the TimeSeries library to accumulate and summarize data in a time frame:
using ManagedCode.TimeSeries;
var series = new IntTimeSeriesAccumulator(TimeSpan.FromSeconds(5)); // step
for (int i = 0; i < count; i++)
{
series.AddNewData(i);
}
using ManagedCode.TimeSeries;
var series = new IntTimeSeriesAccumulator(TimeSpan.FromSeconds(0.1));
for (var i = 0; i < 1000; i++)
{
await Task.Delay(new Random().Next(1, 5));
series.AddNewData(i);
}
series.DataCount; // 1000
Installation
To install the TimeSeries library, you can use NuGet:
dotnet add package ManagedCode.TimeSeries
Conclusion In summary, the TimeSeries library provides convenient tools for working with time series data in C#. Its accumulators and summers make it easy to add and summarize data in time frames, and its efficient storage and compression capabilities ensure.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net7.0 is compatible. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
-
net7.0
- No dependencies.
NuGet packages (3)
Showing the top 3 NuGet packages that depend on ManagedCode.TimeSeries:
Package | Downloads |
---|---|
ManagedCode.Keda.Orleans.Scaler.Client
Keda |
|
ManagedCode.Keda.Orleans.Scaler
Keda |
|
ManagedCode.TimeSeries.Orleans
TimeSeries |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
---|---|---|
0.0.18 | 553 | 5/17/2023 |
0.0.17 | 10,269 | 12/9/2022 |
0.0.16 | 308 | 12/9/2022 |
0.0.15 | 295 | 12/9/2022 |
0.0.12 | 1,790 | 10/11/2022 |
0.0.11 | 386 | 10/11/2022 |
0.0.10 | 653 | 10/10/2022 |
0.0.9 | 1,085 | 10/10/2022 |
0.0.8 | 638 | 10/10/2022 |
0.0.7 | 628 | 10/10/2022 |
0.0.6 | 1,137 | 10/10/2022 |
0.0.5 | 654 | 10/10/2022 |
0.0.4 | 1,657 | 10/3/2022 |
0.0.3 | 2,642 | 9/23/2022 |
0.0.2 | 2,500 | 9/19/2022 |
0.0.1 | 450 | 9/19/2022 |