Microsoft.Data.Analysis
0.21.0-preview.22621.2
dotnet add package Microsoft.Data.Analysis --version 0.21.0-preview.22621.2
NuGet\Install-Package Microsoft.Data.Analysis -Version 0.21.0-preview.22621.2
<PackageReference Include="Microsoft.Data.Analysis" Version="0.21.0-preview.22621.2" />
paket add Microsoft.Data.Analysis --version 0.21.0-preview.22621.2
#r "nuget: Microsoft.Data.Analysis, 0.21.0-preview.22621.2"
// Install Microsoft.Data.Analysis as a Cake Addin
#addin nuget:?package=Microsoft.Data.Analysis&version=0.21.0-preview.22621.2&prerelease
// Install Microsoft.Data.Analysis as a Cake Tool
#tool nuget:?package=Microsoft.Data.Analysis&version=0.21.0-preview.22621.2&prerelease
This package contains easy-to-use and high-performance libraries for data analysis and transformation.
Product | Versions |
---|---|
.NET | net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows |
.NET Core | netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1 |
.NET Standard | netstandard2.0 netstandard2.1 |
.NET Framework | net461 net462 net463 net47 net471 net472 net48 net481 |
MonoAndroid | monoandroid |
MonoMac | monomac |
MonoTouch | monotouch |
Tizen | tizen40 tizen60 |
Xamarin.iOS | xamarinios |
Xamarin.Mac | xamarinmac |
Xamarin.TVOS | xamarintvos |
Xamarin.WatchOS | xamarinwatchos |
-
.NETStandard 2.0
- Apache.Arrow (>= 2.0.0)
- Microsoft.ML.DataView (>= 3.0.0-preview.22621.2)
- System.Buffers (>= 4.5.1)
- System.Memory (>= 4.5.3)
- System.Runtime.CompilerServices.Unsafe (>= 6.0.0)
NuGet packages (18)
Showing the top 5 NuGet packages that depend on Microsoft.Data.Analysis:
Package | Downloads |
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Microsoft.Spark
.NET for Apache Spark |
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FenixAlliance.ACL.Dependencies
Application Component for the Alliance Business Suite. |
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EikonDataAPI
Eikon Data API (64bit) for .NET - .NET 4.5, 4.5.1, 4.5.2, 4.6, 4.6.1 - .NET Standard 2.0, .NET Core 2.1, .NET Core 3.1. NET 5.0 The Eikon Data APIs provide simple access to users who require programmatic access to Refinitiv data on the desktop. These APIs are intended for Eikon users. The APIs are based on web-native technologies to simplify integration into almost any desktop environment. These APIs can be used with traditional programming languages like Java or .Net as well as scripting languages like Javascript. A dedicated Python extension is also supplied to provide easy integration with this language. The APIs provide access to the following content sets: News; Price time series; Symbology conversion; Fundamental and reference data. https://developers.refinitiv.com/en/api-catalog/eikon/eikon-data-api |
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Shioaji
Package Description |
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ParquetSharp.DataFrame
ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp. |
GitHub repositories (3)
Showing the top 3 popular GitHub repositories that depend on Microsoft.Data.Analysis:
Repository | Stars |
---|---|
dotnet/interactive
.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
|
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dotnet/spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
|
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swharden/Csharp-Data-Visualization
Resources for visualizing data using C# and the .NET platform
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Version | Downloads | Last updated |
---|---|---|
0.21.0-preview.22621.2 | 1,058 | 12/22/2022 |
0.20.1 | 6,769 | 2/1/2023 |
0.20.1-preview.22573.9 | 326 | 11/24/2022 |
0.20.0 | 16,347 | 11/8/2022 |
0.20.0-preview.22551.1 | 123 | 11/1/2022 |
0.20.0-preview.22313.1 | 1,201 | 6/14/2022 |
0.19.1 | 395,843 | 3/9/2022 |
0.19.0 | 52,061 | 11/9/2021 |
0.19.0-preview.final | 284 | 10/22/2021 |
0.18.0 | 101,980 | 7/15/2021 |
0.4.0 | 462,273 | 5/20/2020 |
0.3.0 | 20,085 | 3/24/2020 |
0.2.0 | 12,393 | 12/12/2019 |
0.1.0 | 19,287 | 11/11/2019 |
Initial preview of robust and extensible types and algorithms for manipulating structured data that supports aggregations, statistical funtions, sorting, grouping, joins, merges, handling missing values and more.