Deedle 2.3.0
Deedle implements an efficient and robust frame and series data structures for manipulating with structured data. It supports handling of missing values, aggregations, grouping, joining, statistical functions and more. For frames and series with ordered indices (such as time series), automatic alignment is also available.
Install-Package Deedle -Version 2.3.0
dotnet add package Deedle --version 2.3.0
<PackageReference Include="Deedle" Version="2.3.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Deedle --version 2.3.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Release Notes
Add dropEmptyRows and dropEmptyCols [510](https://github.com/fslaborg/Deedle/pull/510)
Fix ambiguous sum function when calling it from Frame [515](https://github.com/fslaborg/Deedle/pull/515)
Dependencies
-
- FSharp.Core (>= 4.5.2)
Used By
NuGet packages (21)
Showing the top 5 NuGet packages that depend on Deedle:
| Package | Downloads |
|---|---|
|
NBi.Framework
This package contains the NBi framework and references each dll to your project. This package is not intended to be directly used by end-users willing to create test-suites. Check the package NBi.VisualStudio, if you want to facilitate the usage of NBi from Visual Studio. NBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Quality. It supports the Microsoft Data platform (SQL Server Database engine, SSIS, SSAS, SSRS) but also MySQL, PostgreSQL and other NoSQL solutions.
|
|
|
NBi.Framework.Tools
This package contains the NBi framework and references each dll to your project. This package is not intended to be directly used by end-users willing to create test-suites. Check the package NBi.VisualStudio, if you want to facilitate the usage of NBi from Visual Studio. NBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Quality. It supports the Microsoft Data platform (SQL Server Database engine, SSIS, SSAS, SSRS) but also MySQL, PostgreSQL and other NoSQL solutions.
|
|
|
FsLab
FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for data access) and XPlot (for visualization). You can optionally add any other nuget packages.
|
|
|
Deedle.RPlugin
Deedle implements an efficient and robust frame and series data structures for manipulating with structured data. It supports handling of missing values, aggregations, grouping, joining, statistical functions and more. For frames and series with ordered indices (such as time series), automatic alignment is also available. This package installs core Deedle package, together with an R type provider plugin which makes it possible to pass data frames and time series between R and Deedle
|
|
|
XPlot.GoogleCharts.Deedle
XPlot is a cross-platform data visualization library that supports creating charts using Google Charts and Plotly. The library provides a composable domain specific language for building charts and specifying their properties.
|
GitHub repositories (2)
Showing the top 2 popular GitHub repositories that depend on Deedle:
| Repository | Stars |
|---|---|
|
QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
|
|
|
SciSharp/SiaNet
An easy to use C# deep learning library with CUDA/OpenCL support
|
Version History
| Version | Downloads | Last updated |
|---|---|---|
| 2.3.0 | 5,603 | 9/16/2020 |
| 2.2.0 | 8,830 | 6/15/2020 |
| 2.1.2 | 18,302 | 2/26/2020 |
| 2.1.1 | 3,906 | 1/25/2020 |
| 2.1.0 | 43,150 | 11/5/2019 |
| 2.0.4 | 51,820 | 4/29/2019 |
| 2.0.3 | 678 | 4/24/2019 |
| 2.0.2 | 5,090 | 4/8/2019 |
| 2.0.1 | 2,265 | 3/25/2019 |
| 2.0.0 | 1,471 | 3/14/2019 |
| 2.0.0-beta01 | 25,598 | 8/4/2018 |
| 1.2.5 | 80,006 | 6/6/2016 |
| 1.2.4 | 12,737 | 9/2/2015 |
| 1.2.3 | 2,629 | 7/14/2015 |
| 1.2.2 | 1,322 | 7/9/2015 |
| 1.2.1 | 1,933 | 6/17/2015 |
| 1.2.0 | 1,062 | 6/15/2015 |
| 1.1.6 | 834 | 6/11/2015 |
| 1.1.5 | 798 | 6/10/2015 |
| 1.1.4-beta | 749 | 5/10/2015 |
| 1.1.3-beta | 790 | 3/24/2015 |
| 1.1.2-beta | 760 | 3/12/2015 |
| 1.1.0-beta | 778 | 2/4/2015 |
| 1.0.7 | 8,885 | 1/19/2015 |
| 1.0.6 | 3,144 | 9/26/2014 |
| 1.0.5 | 978 | 9/11/2014 |
| 1.0.4 | 841 | 9/11/2014 |
| 1.0.4-rc1 | 846 | 8/1/2014 |
| 1.0.2 | 1,690 | 7/18/2014 |
| 1.0.1 | 2,196 | 6/23/2014 |
| 1.0.0 | 1,226 | 5/21/2014 |
| 1.0.0-alpha2 | 873 | 4/20/2014 |
| 1.0.0-alpha | 752 | 4/15/2014 |
| 0.9.12 | 3,122 | 11/13/2013 |
| 0.9.11-beta | 781 | 11/8/2013 |
| 0.9.10-beta | 718 | 11/8/2013 |
| 0.9.9-beta | 764 | 11/2/2013 |
| 0.9.8-beta | 769 | 10/29/2013 |
| 0.9.6-beta | 753 | 10/25/2013 |
| 0.9.5-beta | 705 | 10/25/2013 |
| 0.9.4-beta | 1,097 | 10/22/2013 |
