PyAnalySeries

PyAnalySeries Reimagined: A Legacy Tool Reborn

PyAnalySeries is a Python application built on matplotlib, with a PyQt-based graphical interface, making it easily portable across platforms including Linux, macOS, and Windows.
It is designed as a modern continuation of the AnalySeries, the original application on MacOS, aiming to reproduce its core functionalities within a more robust and portable Python environment.
Special attention has been given to ergonomics, emphasizing simplicity and clarity, while offering intuitive interactivity such as zooming, panning, and scrolling, with linked or independent axis.
The core design follows a "Define then Apply" workflow for data processing operations such as filtering, sampling, and interpolation.
Documents are read and saved in an open format spreadsheet (xlsx) with multiple worksheets for organization. It is also possible to import series or pointers directly from the clipboard, following a simple copy (Ctrl+C) operation from an external spreadsheet.
The application leverages robust, well-tested modules for interpolation, notably SciPy, and features an interactive interface for defining interpolation pointers (formerly known as Linage and Splinage), allowing for precise placement and manipulation—either directly on data points or independently.

Based on: numpy, pandas, matplotlib, scipy, shapely, openpyxl, PyQt

Conception and developments : Patrick Brockmann LSCE/CEA - IPSL

This project is distributed under the CeCILL v2.1 license.

---

Installation

Get the application

• git clone https://github.com/PaleoIPSL/PyAnalySeries
• cd PyAnalySeries

Create a python environment to use PyAnalySeries

• conda env create --file environment.yml
• conda env list
• conda activate env_PyAnalySeries

Test

• python PyAnalySeries.py
• python PyAnalySeries.py test/ws_ex.xlsx
• python PyAnalySeries.py test/MD95-2042.xlsx test/GeoB3938.xlsx

Icon and shortcuts

• Icon :

• Shortcut on Linux :

  • Copy the misc/PyAnalySeries.desktop file to your Desktop, and make change to specify YOURLOGIN
  • Make change in the PyAnalySeries.sh file to specify the anaconda installation directory
  • Set an icon on the shorcut by choosing the resources/PyAnalySeries_icon.png file as icon

• Shortcut on MacOS :

  • Use Automator tool to set a shortcut (choose new application and execute shell)
  • Copy in the shell the PyAnalySeries.sh file content with correct anaconda path
  • Save as an application in your Desktop directory
  • Set an icon by pressing ⌘ + I on the shorcut created and drag the resources/PyAnalySeries_icon.icns file on the top icon

• Shortcut on Windows :

  • ...

---

Captures

Releases

See releases.md for release details.