edaio 0.5.1

Lightning-fast DataFrame introspection with smart red-flag suggestions

edaio ⚡

Lightning-fast DataFrame introspection with smart red-flag suggestions.

🚀 Quick Start

import pandas as pd
from edaio import glance

df = pd.read_csv("your_data.csv")
report = glance(df, target='price')

✨ Features

• Instant insights – One line of code, zero configuration

• Actionable suggestions – Tells you exactly what to fix

• Parallel computation – Lightning fast on large datasets

• Drift detection – Compare train/test datasets with PSI

• Programmable API – Query the report object for specific issues

• Lightweight – No heavy dependencies or bloated reports

📦 Installation

pip install edaio

With optional features:

pip install edaio[rich,plotly]

📊 Examples Basic Usage

from edaio import glance
import pandas as pd

df = pd.read_csv("sales.csv")
report = glance(df)

Target Analysis

report = glance(df, target='price')
print(report.null_cols)  # Columns with >30% missing
print(report.high_corr_pairs)  # Highly correlated features

Train/Test Comparison

report = glance(train_df, compare_to=test_df)

See drift detection in the suggestions

🔧 Command Line

edaio data.csv --target price --output-html report.html