https://github.com/scisharp/pandas.net

Pandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.
https://github.com/scisharp/pandas.net

numerical numsharp pandas

Last synced: 9 months ago
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Pandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.

• Host: GitHub
• URL: https://github.com/scisharp/pandas.net
• Owner: SciSharp
• Created: 2018-11-04T13:46:36.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-08-04T21:41:40.000Z (over 1 year ago)
• Last Synced: 2025-06-11T19:53:14.294Z (9 months ago)
• Topics: numerical, numsharp, pandas
• Language: C#
• Homepage:
• Size: 3.44 MB
• Stars: 594
• Watchers: 43
• Forks: 82
• Open Issues: 20
• Metadata Files:
  • Readme: README.cn.md

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README

          
# Pandas.NET

[![Join the chat at https://gitter.im/publiclab/publiclab](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/sci-sharp/community)

[![NuGet](https://img.shields.io/nuget/dt/Pandas.NET.svg)](https://www.nuget.org/packages/Pandas.NET)

[![Build Status](https://dev.azure.com/scisharp/Pandas.NET/_apis/build/status/Windows%20CI?branchName=master&label=Windows)](https://dev.azure.com/scisharp/Pandas.NET/_build/latest?definitionId=2&branchName=master)

[![Build Status](https://dev.azure.com/scisharp/Pandas.NET/_apis/build/status/Ubuntu%20CI?branchName=master&label=Ubuntu)](https://dev.azure.com/scisharp/Pandas.NET/_build/latest?definitionId=3&branchName=master)

[![Build Status](https://dev.azure.com/scisharp/Pandas.NET/_apis/build/status/macOS%20CI?branchName=master&label=MacOS)](https://dev.azure.com/scisharp/Pandas.NET/_build/latest?definitionId=1&branchName=master)

## Implemented APIs

### 1. Pandas

- DataFrame

  - `pd.DataFrame(NDArray  data, IList index,  IList columns, Type dtype)`

  - `pd.DataFrame(NDArray  data, IList index,  IList columns, Type dtype)`

  - `pd.DataFrame(IDictionary data, IList index)`

  - `pd.DataFrame(IDictionary data, IList index)`

- Series

  - `pd.Series(NDArray data)`

  - `pd.Series(Array data)`

  - `pd.Series(T data)`

### 2. Series

- `s.iloc[0]`:按索引选取数据

- `s.loc["index_label"]`：按索引标签选取数据

### 3. DataFrame

#### 结构

- df.Index

- df.Columns

- df.Values

- df.Shape

- df.NDIM

- df.Size

#### 方法

- `df[0]`：按列索引选取数据（返回 Series）

- `df[params int[] columnIndexs] `:按列索引选取数据（返回 DataFrame）

- `df["column_label"]`：按列标签选取数据（返回 Series）;可通过 `set` 访问器增加列（如果列标签不存在）

- `df[params string[] columnLabels]`：按列标签选取数据（返回 DataFrame）

- `df.Column(string columnLabel, NDArray value)`:设置列以及列的值；当列不存在时创建

- `df.Column(int columnIndex, NDArray value)`:设置列以及列的值；当列不存在时报异常

- `df[Slice s]`:行切片选取数据

- `df.loc["index_label"]`：按行索引标签选取数据

- `df.loc["index_label", "column_label"]`：按行和列标签选取数据

- `df.iloc[0]`：按行索引（row number）选取数据

## 函数库

- [Math.NET Numerics](https://numerics.mathdotnet.com/)

  - [MIT License](https://github.com/mathnet/mathnet-numerics/blob/master/LICENSE.md)