acycle 0.5.7

AcyclePy: Advanced cyclostratigraphy toolkit

Acycle - Advanced Scientific Analysis Tools

A comprehensive suite of scientific analysis tools including image processing, data processing, and advanced plotting capabilities.

Features

Image Processor

• Image Magnification: Real-time magnifier with adjustable zoom factor
• Coordinate Calibration: Set reference points to transform pixel coordinates to real-world coordinates
• Color Analysis: Automatic dominant color detection and custom color selection
• Data Point Extraction: Extract data points from images based on color matching
• Drawing Tools:
  • Box selection for region-based extraction
  • Freehand drawing for custom path selection
  • Manual point marking
• Data Export: Save extracted data points to text files
• Undo/Redo: Full undo/redo support for drawing operations (Ctrl+Z / Ctrl+Y)

PlotPro - Advanced Plotting Tool

• Multiple Plot Types: Line, scatter, bar, histogram, and more
• Data Import: Support for CSV, TXT, and Excel files
• Customization: Full control over colors, markers, line styles, and fonts
• Subplot Support: Create complex multi-panel figures
• Interactive Editing: Real-time preview and adjustment
• Export Options: Save plots as PNG, PDF, SVG, and other formats
• Professional Styling: Publication-ready plot templates

Math Tools - Data Processing Suite

Data Manipulation Tools:

• Interpolation Pro (acycle-interpolation): Advanced interpolation with multiple methods
• Data Extractor (acycle-data-extractor): Extract specific data segments from time series
• Section Remover (acycle-section-remover): Remove data sections and adjust time values
• Gap Adder (acycle-gap-adder): Add gaps to data series with time adjustment
• Data Clipper (acycle-data-clipper): Clip data based on threshold values

Image Analysis Tools:

• Image Analyzer (acycle-image-analyzer): Advanced image processing and analysis

Installation

From PyPI

pip install acycle

From Source

git clone https://github.com/yourusername/acycle.git
cd acycle
pip install -e .

Usage

Command Line

After installation, you can run the applications using:

Image Processor:

acycle-imageprocessor

PlotPro - Advanced Plotting Tool:

acycle-plot

Math Tools - Data Processing:

# Interpolation tool
acycle-interpolation [data_file]

# Data extraction
acycle-data-extractor [data_file]

# Remove data sections
acycle-section-remover [data_file]

# Add gaps to data
acycle-gap-adder [data_file]

# Clip data by threshold
acycle-data-clipper [data_file]

# Advanced image analysis
acycle-image-analyzer

Or as Python modules:

python -m acycle.imageprocessor
python -m acycle.plot

As a Library

Image Processor:

from acycle.imageprocessor import ImageProcessor
from PySide6.QtWidgets import QApplication
import sys

app = QApplication(sys.argv)
window = ImageProcessor()
window.show()
sys.exit(app.exec())

PlotPro:

from acycle.plot import PlotPro
from PySide6.QtWidgets import QApplication
import sys

app = QApplication(sys.argv)
window = PlotPro()
window.show()
sys.exit(app.exec())

Workflow

Image Processor Workflow

1. Load Image: Click "Load Image" to open an image file
2. Calibrate Coordinates (optional):
   • Enter reference values for X1, X2, Y1, Y2
   • Click "Pick X1", "Pick X2", etc., then click on the image to set calibration points
3. Select Tool:
   • Box: Draw a rectangle to select a region
   • Drawing: Draw freehand paths to select custom regions
   • Manual: Click to manually mark individual points
4. Analyze Colors: The tool automatically detects dominant colors in the image
5. Extract Data Points:
   • Select a color (either from dominant colors or custom)
   • Adjust dx/dy sampling intervals
   • Click "Extract Data Points"
6. Save Data: Click "Save Data Points" to export extracted coordinates

PlotPro Workflow

PlotPro is an advanced plotting tool for creating and customizing scientific plots:

1. Load Data: Import data from CSV, TXT, or Excel files
2. Configure Plot:
   • Select plot type (line, scatter, bar, etc.)
   • Customize colors, markers, and line styles
   • Set axis labels and titles
3. Advanced Features:
   • Multiple subplot support
   • Legend customization
   • Grid and axis formatting
   • Export to various formats (PNG, PDF, SVG)
4. Interactive Editing: Real-time preview and adjustment of plot parameters

Math Tools Workflow

Data Processing Tools:

1. Interpolation Pro: Load data file, select interpolation method, set parameters, and generate interpolated data
2. Data Extractor: Specify start and end points to extract data segments
3. Section Remover: Enter section boundaries to remove and automatically adjust time values
4. Gap Adder: Define gap locations and durations to insert into data series
5. Data Clipper: Set threshold values and choose clipping method (zero, delete, or threshold)

All tools support command-line file input and save results with descriptive suffixes.

Requirements

• Python >= 3.8
• PySide6 >= 6.0.0
• numpy >= 1.20.0
• matplotlib >= 3.3.0
• scikit-image >= 0.18.0
• scikit-learn >= 0.24.0
• Pillow >= 8.0.0
• qt-material >= 2.0.0
• scipy >= 1.6.0

License

MIT License - see LICENSE file for details

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

Acycle ([e-mail]) #\x00 \x00A\x00c\x00y\x00c\x00l\x00e\x00P\x00y\x00 \x00 \x00