项目介绍

TirendazAcademy/PandasAI-Tutorials 是一个托管在 GitHub 上的开源项目,主要使用 Jupyter Notebook 编写,目前获得 194 个 Star、61 次 Fork。

仓库全名
TirendazAcademy/PandasAI-Tutorials
Star 数
194
Fork 数
61
未关闭 Issue
7

README 摘要

Learn PandasAI with Examples Welcome to my PandasAI repo. This repo includes tutorials on how to use Pandas AI. Let me briefly explain this tool. PandasAI is an amazing Python library that allows you to talk to your data. It helps you to explore, clean, and analyze your data using generative AI. Features: Ask questions about your data in natural language. Generate plots to visualize your data. Clean datasets by…

完整内容见 GitHub 原始 README 或本页 。

常见问题

PandasAI-Tutorials 用什么语言开发?

主要使用 Jupyter Notebook 编写,目前有 194 个 Star。

如何获取 PandasAI-Tutorials 的源码?

可以直接克隆仓库:git clone https://github.com/TirendazAcademy/PandasAI-Tutorials.git,默认分支为 main;安装与运行步骤见仓库 README。

PandasAI-Tutorials 最近还在维护吗?

仓库最近一次更新为 2024年5月20日,当前有 7 个未关闭 Issue;Star 数为 194,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Tutorials for PandasAI

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
318
价值分
134
活跃状态
活跃

语言占比

Jupyter Notebook
Python

README

Learn PandasAI with Examples

Welcome to my PandasAI repo. This repo includes tutorials on how to use Pandas AI. Let me briefly explain this tool.

PandasAI is an amazing Python library that allows you to talk to your data. It helps you to explore, clean, and analyze your data using generative AI.

Features:

  • Ask questions about your data in natural language.
  • Generate plots to visualize your data.
  • Clean datasets by addressing missing values.
  • Enhance data quality through feature generation.
  • Connect to various data sources like CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc.

To install PandasAI, run this command:

# Using poetry (recommended)
poetry add pandasai

# Using pip
pip install pandasai

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