Skip to main content

Advanced data analysis tools including image processing and plotting capabilities

Project description

Acycle - Advanced Scientific Analysis Tools

A comprehensive suite of scientific analysis tools including image 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

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

Or as a Python module:

python -m acycle.imageprocessor

PlotPro - Advanced Plotting Tool:

acycle-plot

Or as a Python module:

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

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

Your Name (your.email@example.com) #\x00 \x00A\x00c\x00y\x00c\x00l\x00e\x00P\x00y\x00 \x00 \x00

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

acycle-0.2.1.tar.gz (51.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

acycle-0.2.1-py3-none-any.whl (56.9 kB view details)

Uploaded Python 3

File details

Details for the file acycle-0.2.1.tar.gz.

File metadata

  • Download URL: acycle-0.2.1.tar.gz
  • Upload date:
  • Size: 51.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for acycle-0.2.1.tar.gz
Algorithm Hash digest
SHA256 98573e5ab086325fe1ba5274b3a17f9a647ffec6562aa24dd19580e6e0036cbb
MD5 4fbd96f9e7380b615eb5833ed3d8ed02
BLAKE2b-256 617f4d8829f504bdff412c0eb1b1885ac6e9ea7c652436565e44c6c70b762b14

See more details on using hashes here.

File details

Details for the file acycle-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: acycle-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 56.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for acycle-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9fcfb402eca17ab6d3cbbea89e33304bdabd3bf3070bdbc59fa11aed93977d9a
MD5 51cac41c0a1ee89f45ff0cb3a2f2408e
BLAKE2b-256 cb9b8fc5cf69b421d5132bd8b760e0a8044db2d4b1cd156cd0d52c310b5002e1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page