PyGWalker can simplify your Jupyter Notebook data analysis and data visualization workflow, by turning your pandas dataframe (and polars dataframe) into a Tableau-style User Interface for visual exploration.
!pip install pygwalker
import pygwalker as pyg
import pandas as pd
df = pd.read_csv('file.csv', parse_dates=['date'])
pyg.walk(df)https://user-images.githubusercontent.com/8137814/221879671-70379d15-81ac-44b9-b267-a8fa3842a0d9.png
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