semvec/pypi-packages huggingface dataset:
nonebot-plugin-talk-stats 0.1.1
群聊活跃度统计插件
Requires Python: >=3.10

<div align="center">
  <a href="https://v2.nonebot.dev/store">
    <img src="https://raw.githubusercontent.com/wyf7685/wyf7685/main/assets/NoneBotPlugin.svg" width="300" alt="logo">
  </a>
</div>

<div align="center">

# nonebot-plugin-talk-stats

_✨ NoneBot 插件简单描述 ✨_

[![license](https://img.shields.io/github/license/wyf7685/nonebot-plugin-talk-stats.svg)](./LICENSE)
[![pypi](https://img.shields.io/pypi/v/nonebot-plugin-talk-stats?logo=python&logoColor=edb641)](https://pypi.python.org/pypi/nonebot-plugin-talk-stats)
[![python](https://img.shields.io/badge/python-3.10+-blue?logo=python&logoColor=edb641)](https://www.python.org/)

[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
[![ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![basedpyright - checked](https://img.shields.io/badge/basedpyright-checked-42b983)](https://docs.basedpyright.com)

[![pre-commit](https://results.pre-commit.ci/badge/github/wyf7685/nonebot-plugin-talk-stats/master.svg)](https://results.pre-commit.ci/latest/github/wyf7685/nonebot-plugin-talk-stats/master)
[![CI](https://github.com/wyf7685/nonebot-plugin-talk-stats/actions/workflows/ci.yml/badge.svg)](https://github.com/wyf7685/nonebot-plugin-talk-stats/actions/workflows/ci.yml)
[![publish](https://github.com/wyf7685/nonebot-plugin-talk-stats/actions/workflows/pypi-publish.yml/badge.svg)](https://github.com/wyf7685/nonebot-plugin-talk-stats/actions/workflows/pypi-publish.yml)

</div>

## 📖 介绍

这里是插件的详细介绍部分

## 💿 安装

<details open>
<summary>使用 nb-cli 安装</summary>
在 nonebot2 项目的根目录下打开命令行, 输入以下指令即可安装

    nb plugin install nonebot-plugin-talk-stats

</details>

<details>
<summary>使用包管理器安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令

<details open>
<summary>uv</summary>

```sh
uv add nonebot-plugin-talk-stats
```

</details>
<details>
<summary>pdm</summary>

```sh
pdm add nonebot-plugin-talk-stats
```

</details>
<details>
<summary>poetry</summary>

```sh
poetry add nonebot-plugin-talk-stats
```

</details>
<details>
<summary>conda</summary>

```sh
conda install nonebot-plugin-talk-stats
```

</details>
<details>
<summary>pip</summary>

```sh
pip install nonebot-plugin-talk-stats
```

</details>

打开 nonebot2 项目根目录下的 `pyproject.toml` 文件, 在 `[tool.nonebot]` 部分追加写入

    plugins = ["nonebot_plugin_talk_stats"]

</details>

## ⚙️ 配置

在 nonebot2 项目的`.env`文件中添加下表中的必填配置

|  配置项  | 必填 | 默认值 |   说明   |
| :------: | :--: | :----: | :------: |
| 配置项 1 |  是  |   无   | 配置说明 |
| 配置项 2 |  否  |   无   | 配置说明 |

## 🎉 使用

### 指令表

|  指令  | 权限 | 需要@ | 范围 |   说明   |
| :----: | :--: | :---: | :--: | :------: |
| 指令 1 | 主人 |  否   | 私聊 | 指令说明 |
| 指令 2 | 群员 |  是   | 群聊 | 指令说明 |

## 💡 鸣谢

- (可能的鸣谢清单)

## 📝 更新日志

<details>
<summary>更新日志</summary>

- 2024.09.14 v0.1.0

  - 插件模板
  - 更新日志

</details>
AutomatedCleaning 1.1
Automated Data Cleaning Library
Requires Python: >=3.6

# AutomatedCleaning

AutomatedCleaning is a Python library for automated data cleaning.It helps preprocess and analyze datasets by handling missing values, outliers, spelling corrections, and more.

![Logo](https://raw.githubusercontent.com/DataSpoof/AutomatedCleaning/main/images/logo2.png)

## Features
- Supports both large (100+ GB) and small datasets
- Detects and handles missing values and duplicate records
- Identifies and corrects spelling errors in categorical values
- Detect outliers
- Detects and fixes data imbalance
- Identifies and corrects skewness in numerical data
- Checks for correlation and detects multicollinearity
- Analyzes cardinality in categorical columns
- Identifies and cleans text columns
- Detect JSON-type columns
- Detect and mask PII types of columns
- Performs univariate, bivariate, and multivariate analysis


## Installation
```bash
pip install AutomatedCleaning
```

## Usage
```bash
import AutomatedCleaning as ac
df = ac.load_data("dataset.csv")
df_cleaned = ac.clean_data(df)
```