From d2855577f57467d965d34ad0a67ef1e8bb22b0d7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E8=93=9D=E5=8F=8B=E5=92=8C?= <3068150232@qq.com> Date: Fri, 8 Nov 2024 17:08:03 +0800 Subject: [PATCH] feat:add some chinese readme --- docs/README.zh.md | 111 ++++++++++++++++++++++++++++++++++++++++++++-- docs/image.png | Bin 0 -> 358140 bytes 2 files changed, 108 insertions(+), 3 deletions(-) create mode 100644 docs/image.png diff --git a/docs/README.zh.md b/docs/README.zh.md index 96e1f60a..af8aa6de 100644 --- a/docs/README.zh.md +++ b/docs/README.zh.md @@ -95,9 +95,10 @@ import pygwalker as pyg df = pd.read_csv('./bike_sharing_dc.csv') walker = pyg.walk(df) ``` - -### 更佳实践 - +### 如何在Jupyter中保存图片 +使用pygwalker库进行数据探索提供了一种查看和分析数据的交互式方式。但是,存储这些可视化对于将来的参考、演示或与共享至也关重要,我们将演示两种方式保存pygwalker图表的方式。 +#### 方法一使用本地json文件保存图标(推荐) +##### 1.使用json spec初始化Walker,将pygwalker指向可以保存的本地json文件 ```python df = pd.read_csv('./bike_sharing_dc.csv') walker = pyg.walk( @@ -127,6 +128,9 @@ walker = pyg.walk( ![](https://docs-us.oss-us-west-1.aliyuncs.com/img/pygwalker/travel-ani-1-light.gif) +##### 保存图表:当您完成数据分析,您就会注意到pygwalker界面中有一个“保存”按钮。点击它。此操作将把可视化的当前状态保存到指定的JSON文件中。 +![alt text](image.png) + ## 使用PyGWalker制作数据可视化图 | 快速预览数据 | 折线图 | @@ -201,6 +205,41 @@ Type: function 更多参考: [PyGWalker 更新日志](https://docs.kanaries.net/zh/pygwalker/changelog/pygwalker-0-1-6) + +# 在 Streamlit 中使用 pygwalker + Streamlit允许您托管pygwalker的Web版本,而无需了解Web应用程序如何工作的细节。 +以下是一些使用pygwalker和streamlit构建的应用程序示例: ++ [PyGWalker + streamlit for Bike sharing dataset](https://pygwalkerdemo-cxz7f7pt5oc.streamlit.app/) ++ [Earthquake Dashboard](https://earthquake-dashboard-pygwalker.streamlit.app/) + +``` +from pygwalker.api.streamlit import StreamlitRenderer +import pandas as pd +import streamlit as st + +# Adjust the width of the Streamlit page +st.set_page_config( + page_title="Use Pygwalker In Streamlit", + layout="wide" +) + +# Add Title +st.title("Use Pygwalker In Streamlit") + +# You should cache your pygwalker renderer, if you don't want your memory to explode +@st.cache_resource +def get_pyg_renderer() -> "StreamlitRenderer": + df = pd.read_csv("./bike_sharing_dc.csv") + # If you want to use feature of saving chart config, set `spec_io_mode="rw"` + return StreamlitRenderer(df, spec="./gw_config.json", spec_io_mode="rw") + + +renderer = get_pyg_renderer() + +renderer.explorer() +``` + + ## 测试环境 - [x] Jupyter Notebook @@ -246,8 +285,74 @@ options: --list List current used configuration. ``` +### 使用命令行工具配置隐私 +使用命令行工具将隐私设置写如配置文件 +##### 设置隐私 +``` +pygwalker config --set privacy=events +``` +##### 重置隐私 +``` +pygwalker config --reset privacy +``` +##### 查看所有配置 +``` +pygwalker config --list +``` +##### 临时时改变pygwalker的隐私设置 +如果你只想临时的改变你的隐私级别,可以通过GlobalVarManager进行配置 +##### 设置隐私 +``` +from pygwalker import GlobalVarManager + +GlobalVarManager.set_privacy("events") +``` +##### 获取当前配置 +``` +from pygwalker import GlobalVarManager + +print(GlobalVarManager.privacy) +``` + 更多详情,请参考: [How to set your privacy configuration?](https://github.com/Kanaries/pygwalker/wiki/How-to-set-your-privacy-configuration%3F) +# 本地部署 +### 克隆项目 +``` +git clone git@github.com:Kanaries/pygwalker.git +cd pygwalker +``` +### 启动web +``` +# pygwalker/app +cd app +yarn install +yarn dev +``` +### 下载依赖 +``` +# pygwalker +pip install -e . +pip install jupyterlab jupyter_server_proxy +``` +### 启动jupyterlab +``` +# pygwalker +jupyter lab --ServerProxy.servers="{'pyg_dev_app': {'absolute_url': True, 'port': 8769, 'timeout': 30}}" +``` +### 在jupyterlab中启动pygwalker +``` +# jupyterlab +import pandas as pd +import pygwalker as pyg + +pyg.GlobalVarManager.set_component_url("/pyg_dev_app/") # use dev frontend app + +df = pd.read_csv("xxxx") + +walker = pyg.walk(df) +``` + # License [Apache License 2.0](https://github.com/Kanaries/pygwalker/blob/main/LICENSE) diff --git a/docs/image.png b/docs/image.png new file mode 100644 index 0000000000000000000000000000000000000000..62245a00b06926bb110fa67eddcfe8ea37616eb9 GIT binary patch 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