carlee-tools 1.1.1

Core utilities, types, and plotting for atmospheric science

carlee-tools

Core utilities, types, and plotting for atmospheric science.

Overview

carlee-tools provides shared utilities and type definitions that are used across the carlee ecosystem of atmospheric modeling and visualization packages. This package serves as a common dependency for other carlee packages.

Features

• Type Definitions: Common type aliases for paths and configurations
• Datetime Utilities: Functions for parsing and formatting datetime objects
• File I/O: Convenient file reading/writing functions for common scientific data formats (NetCDF, CSV, pickle, NumPy)
• Data Utilities: Helper functions for working with arrays, key-value pairs, and data structures
• Plotting Utilities: Matplotlib helpers for creating publication-quality atmospheric science figures

Installation

Install from PyPI:

pip install carlee-tools

Or install from source:

pip install -e /path/to/carlee-tools

Usage

import carlee_tools
from carlee_tools import PathLike, dt_to_str, read_file, TwoWayDict
from carlee_tools.utils import current_dt_str
from carlee_tools.types_carlee_tools import ConfigDict
from carlee_tools.plotting import clean_legend, get_cmap

# Use datetime utilities
timestamp = current_dt_str()

# Read scientific data files
data = read_file("data.nc")  # Automatically uses xarray for .nc files

# Work with nested dictionaries
nested = TwoWayDict({'a': {'x': 1, 'y': 2}, 'b': {'x': 3, 'y': 4}})

# Create clean matplotlib legends
clean_legend()

Type Definitions

• PathLike: Union of str and Path for file paths
• NumpyNumeric: Union of NumPy integer and floating types

Key Utilities

Datetime Functions

• dt_to_str(): Convert datetime-like objects to formatted strings
• str_to_dt(): Parse datetime strings with flexible format detection
• current_dt_str(): Get current time as formatted string

File I/O

• read_file(): Automatically detect file type and read with appropriate library
• write_file(): Write data with format detection

Data Structures

• TwoWayDict: Dictionary accessor that allows indexing by outer or inner keys

Dependencies

Core dependencies:

• numpy
• matplotlib>=3.0
• xarray
• metpy
• tqdm
• imageio
• typing-extensions (Python < 3.10)

Optional dependencies:

• pandas (for enhanced CSV support)
• netcdf4 (for NetCDF file writing)

License

MIT License