tidy-viewer-py 0.2.95

A cross-platform data pretty printer that uses column styling to maximize viewer enjoyment. Supports CSV, Parquet, Pandas, and Polars DataFrames.

Tidy Viewer Py

Installation

pip install tidy-viewer-py

Quick Start

CSV File Pretty Printing

import tidy_viewer_py as tv
import pandas as pd
url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv"
pd.read_csv(url).to_csv("iris.csv", index=False)  # Save to csv for demo
filename = "iris.csv"
tv.print_csv(filename)

Pandas DataFrames Pretty Printing

import pandas as pd
import tidy_viewer_py as tv
df = pd.read_csv(filename)
tv.print_dataframe(df)

Polars DataFrames Pretty Printing

import polars as pl

df_pl = pl.read_csv(filename)
tv.print_polars_dataframe(df_pl)

Method Chaining API

import tidy_viewer_py as tv

tv.tv().color_theme("gruvbox").max_rows(10).print_dataframe(df)

Configuration Options

options = tv.FormatOptions(
    # Display options
    max_rows=25,              # Maximum rows to display (None for all)
    max_col_width=20,         # Maximum column width
    min_col_width=2,          # Minimum column width
    
    # Styling
    use_color=True,           # Enable/disable colored output
    color_theme="nord",       # Color theme
    
    # Data formatting
    delimiter=",",            # CSV delimiter
    significant_figures=3,    # Number of significant figures
    preserve_scientific=False,# Preserve scientific notation
    max_decimal_width=13,     # Max width before scientific notation
    
    # Table elements
    no_dimensions=False,      # Hide table dimensions
    no_row_numbering=False,   # Hide row numbers
    title="My Table",         # Table title
    footer="End of data",     # Table footer
)

Color Themes

Available themes:

• nord (default) - Arctic, north-bluish color palette
• gruvbox - Retro groove color scheme
• dracula - Dark theme with vibrant colors
• one_dark - Atom One Dark inspired
• solarized_light - Precision colors for readability

Building from Source

Requirements:

• Python 3.8+
• Rust 1.70+
• uv (recommended) or pip

git clone https://github.com/yourusername/tidy-viewer-py
cd tidy-viewer-py
uv pip install .