pretty-little-summary 0.1.1

Automatic structured summaries of Python objects - DataFrames, arrays, models, and more

Pretty Little Summary

Automatic structured summaries of Python objects — DataFrames, arrays, models, plots, and more.

Install

pip install pretty-little-summary

Optional adapters are enabled automatically when their libraries are installed.

Features

• Single function API: pls.describe(obj)
• 40+ adapters across data, viz, and ML libraries
• Works with built-ins out of the box (no required deps)
• Jupyter/IPython history capture for better context

Quick Start

import pretty_little_summary as pls
import pandas as pd

df = pd.DataFrame({
    "product": ["Widget", "Gadget", "Doohickey"],
    "price": [19.99, 29.99, 39.99],
    "quantity": [100, 50, 75]
})

result = pls.describe(df)
print(result.content)
print(result.meta)

Built-in Types

import pretty_little_summary as pls

print(pls.describe([1, 2, 3]).content)
print(pls.describe({"name": "Alice", "age": 30}).content)

NumPy Arrays

import numpy as np
import pretty_little_summary as pls

arr = np.random.rand(100, 50)
result = pls.describe(arr)
print(result.content)

Pandas DataFrames

import pandas as pd
import pretty_little_summary as pls

df = pd.read_csv("data.csv")
result = pls.describe(df)
print(result.content)

Matplotlib Figures

import matplotlib.pyplot as plt
import pretty_little_summary as pls

fig, ax = plt.subplots()
ax.plot([1, 2, 3], [4, 5, 6])
result = pls.describe(fig)
print(result.content)

History Tracking (Jupyter/IPython)

When running inside Jupyter, pretty_little_summary can capture recent code history that created your object:

import pandas as pd
import pretty_little_summary as pls

df = pd.read_csv("data.csv")
df_clean = df.dropna()
result = pls.describe(df_clean)
print(result.history)

Troubleshooting

ModuleNotFoundError: No module named 'pretty_little_summary'

• Ensure you installed the package in the current environment.
• Restart your kernel or interpreter.

Missing optional libraries

If an adapter isn’t available, install its library:

pip install pandas numpy matplotlib

Or install all optional dependencies:

pip install pretty-little-summary[all]