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String Date Controller

A Python module for string date manipulation and formatting operations.

Features

  • Date shifting: Easily shift dates forward or backward
  • Date formatting: Convert dates between different formats
  • Date cropping: Crop dates to specific time periods
  • Date generation: Generate date sequences and ranges
  • Date extraction: Extract dates from file names and folders
  • Historical dates collection: Dynamically collect reference dates for timeseries analysis

Version History

v0.2.7 (2025-06-17)

  • Added symmetrical date pair output function to historical_dates_collector
  • Enhanced get_all_data_historical_date_pairs for consistent data structure
  • Improved data access patterns for time series analysis

v0.2.6 (2025-06-15)

  • Renamed functions in yearly_dates_collector for better clarity and consistency
  • Changed from YTD terminology to yearly for more accurate representation
  • Improved function naming conventions across the module
  • Improved function naming conventions across the module

v0.2.5 (2025-06-10)

  • Standardized date pair data output structures across modules
  • Improved consistency in date pair dictionary mapping
  • Enhanced data access patterns for time series analysis
  • Enhanced data access patterns for time series analysis

v0.2.4 (2025-06-07)

  • Improved data structure of get_all_data_ytd_date_pairs function in yearly_dates_collector
  • Changed return type from List[Dict] to Dict[str, Tuple] for more efficient data access
  • Enhanced usability for year-based date pair lookups
  • Enhanced usability for year-based date pair lookups

v0.2.3 (2025-06-04)

  • Added yearly_dates_collector module for YTD date pair operations
  • Implemented functions to get YTD date pairs based on reference date or specific year
  • Optimized get_year_first_date_simple function for better performance
  • Added support for retrieving all existing years from date list

v0.2.2 (2025-06-04)

  • Added get_last_date_of_year function to date_shifter module
  • Enhanced date manipulation capabilities for year-end operations

v0.2.1 (2025-06-03)

  • Added monthly date pairs collection for time series analysis
  • Implemented functions to get month-end dates and their previous month-end dates
  • Added support for nested dictionary structure for year/month organization
  • Included month name mapping constants

v0.2.0 (2025-06-02)

  • Major refactoring of historical dates collection functionality
  • Improved logging configuration for better application integration
  • Added functional approach using reduce for combining historical dates
  • Enhanced month filtering to focus on 1, 3, 6 month periods
  • Renamed functions for better clarity and consistency

v0.1.10 (2025-06-02)

  • Fixed parameter order in historical date functions
  • Enhanced readability of output keys (YTD, Since Inception)
  • Fixed function call parameter alignment

v0.1.9 (2025-06-02)

  • Improved API flexibility by making date_ref parameter optional with default value
  • Standardized parameter order across historical date collection functions

v0.1.8 (2025-06-02)

  • Added historical dates collection functionality for timeseries analysis
  • Implemented functions to dynamically collect monthly, yearly, YTD, and inception dates

v0.1.6 (2025-04-23)

  • Fixed dependency version format in requirements.txt

v0.1.5 (2025-04-23)

  • Fixed package deployment issues

v0.1.4 (2025-04-23)

  • Added file folder date extraction functionality
  • Improved type handling in date generation functions
  • Fixed bugs in date range generation
  • Standardized naming conventions (using 'nondashed' consistently)

Installation

pip install string-date-controller

Usage

from string_date_controller import date_shifter, date_formatter, date_cropper

# Example usage will be added soon

Requirements

  • Python >= 3.11
  • shining_pebbles

License

MIT License

Author

June Young Park
AI Management Development Team Lead & Quant Strategist at LIFE Asset Management

LIFE Asset Management is a hedge fund management firm that integrates value investing and engagement strategies with quantitative approaches and financial technology, headquartered in Seoul, South Korea.

Contact

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