pip install pygwalker

conda install -c conda-forge pygwalker

mamba install -c conda-forge pygwalker

import pandas as pd
import pygwalker as pyg

df = pd.read_csv('./bike_sharing_dc.csv')
walker = pyg.walk(df)

df = pd.read_csv('./bike_sharing_dc.csv')
walker = pyg.walk(
    df,
    spec="./chart_meta_0.json",    # このjsonファイルはチャートの状態を保存します。チャートを完了したら手動で保存ボタンをクリックする必要があります。将来的には「autosave」がサポートされます。
    kernel_computation=True,          # `kernel_computation=True`を設定すると、pygwalkerはduckdbを計算エンジンとして使用し、ローカルマシンで大きなデータセット（<=100GB）を探索できます。
)

from pygwalker.api.streamlit import StreamlitRenderer
import pandas as pd
import streamlit as st
 
# Streamlitページの幅を調整
st.set_page_config(
    page_title="Use Pygwalker In Streamlit",
    layout="wide"
)
 
# タイトルを追加
st.title("Use Pygwalker In Streamlit")
 
# メモリの爆発を防ぐため、pygwalker rendererをキャッシュする必要があります
@st.cache_resource
def get_pyg_renderer() -> "StreamlitRenderer":
    df = pd.read_csv("./bike_sharing_dc.csv")
    # チャート構成を保存する機能を使用したい場合は、`spec_io_mode="rw"`を設定します
    return StreamlitRenderer(df, spec="./gw_config.json", spec_io_mode="rw")
 
 
renderer = get_pyg_renderer()
 
renderer.explorer()

$ pygwalker config --help
 
usage: pygwalker config [-h] [--set [key=value ...]] [--reset [key ...]] [--reset-all] [--list]
 
Modify configuration file. (default: ~/Library/Application Support/pygwalker/config.json) 
Available configurations:
 
- privacy  ['offline', 'update-only', 'events'] (default: events).
    "offline": fully offline, no data is send or api is requested
    "update-only": only check whether this is a new version of pygwalker to update
    "events": share which events about which feature is used in pygwalker, it only contains events data about which feature you arrive for product optimization. No DATA YOU ANALYSIS IS SEND. Events data will bind with a unique id, which is generated by pygwalker when it is installed based on timestamp. We will not collect any other information about you.
    
- kanaries_token  ['your kanaries token'] (default: empty string).
    your kanaries token, you can get it from https://kanaries.net.
    refer: https://space.kanaries.net/t/how-to-get-api-key-of-kanaries.
    by kanaries token, you can use kanaries service in pygwalker, such as share chart, share config.
    
 
options:
  -h, --help            show this help message and exit
  --set [key=value ...]                        Set configuration. e.g. "pygwalker config --set privacy=update-only"
  --reset [key ...]     Reset user configuration and use default values instead. e.g. "pygwalker config --reset privacy"
  --reset-all           Reset all user configuration and use default values instead. e.g. "pygwalker config --reset-all"
  --list                List current used configuration.