dsr-utils 1.3.0

Generic utility functions for text formatting, string operations, and type conversions.

dsr-utils

Utility functions and helpers for common data science tasks, including datetime parsing, formatting, tables, and plotting helpers.

Version 1.0.0: This release is breaking and not backward-compatible with prior 0.x versions.

Features

• Datetime utilities: Parse and enrich timestamps with pandas integration.
• Formatting utilities: Numeric, currency, percentage, and datetime formatters.
• Table helpers: Lightweight table definitions and rendering helpers.
• Matplotlib helpers: Bounding box utilities for layout and export.
• String utilities: Text processing and manipulation helpers.
• Type utilities: Lightweight type conversion helpers.

Installation

pip install dsr-utils

Usage

from dsr_utils import (
	parse_datetime,
	DateTimeFormat,
	FloatFormat,
	Table,
	TableColumn,
	render_table,
)

# Datetime parsing (pandas integration)
ts = parse_datetime("2025-10-01 12:34:56")

# Formatting utilities
fmt = FloatFormat(precision=2)
print(fmt.format_value(1234.567))

# Date/time formatting
dt_fmt = DateTimeFormat(date_format="%Y-%m-%d", time_format="%H:%M")
print(dt_fmt.format_value(ts))

# Table helpers
table = Table(
	columns=[TableColumn("metric"), TableColumn("value")],
	rows=[{"metric": "rows", "value": 1234}],
)
render_table(table)

Requirements

• Python >= 3.10
• numpy
• pandas (required for datetime utilities)
• matplotlib (required for matplotlib helpers)

License

MIT License - see LICENSE file for details