anytimes 1.0.0

PySide6-based interface for exploring and editing time-series data.

ANYtimeSeries

ANYtimeSeries provides a Qt-based interface for exploring, editing and analysing time-series data. The goal is efficient processing and a clear understanding of the loaded signals, whether they originate from laboratory tests, numerical simulations or OrcaFlex studies.

The application integrates with the bundled anyqats package and supports a broad range of formats for loading and visualising time-series information. For a comprehensive walkthrough—covering the full workflow, control reference and screenshots—see the documentation.

Key features

Data import and management

• Load multiple files at once; the editor automatically identifies common variables for quick comparison across tests.
• Native support for text, binary and tabular formats (csv, xlsx, mat, h5, tdms, parquet, …) alongside OrcaFlex .sim studies.
• Preload OrcaFlex simulations, reuse previous selections and broadcast object/variable choices across matching simulations to keep large projects in sync.
• Extract surface pressure time series by pairing .sim files with diffraction (.owr) models and a set of user-specified panel coordinates.
• Cache OrcaFlex selections and diffraction models so subsequent loads are instant.

Editing and transformation

• Quickly manipulate series via predefined operations (multiply/divide, negate, convert degrees↔radians, rolling averages, absolute value, square-root sum of squares, mean, zero-shifting utilities and more).
• Apply custom expressions per variable (e.g. *2, +offset) or evaluate full calculator expressions to build user-defined channels instead of overwriting the originals.
• Limit operations to a time window and optionally resample data when exporting selections to CSV.

Filtering, statistics and extreme values

• Apply low-, high-, band-pass or band-stop filters to the active selection and feed the filtered data into plots or statistics.
• Open the Statistics window for a sortable table, histograms, descriptive metrics and clipboard export (TSV).
• Launch the Extreme Value Statistics tool to perform Generalized Pareto fits, return-level calculations and diagnostic plotting, including guidance for stabilising challenging fits.

Visualisation

• Plot selected variables in a single figure or side-by-side grid using Plotly, Bokeh or Matplotlib backends.
• Embed plots inside the main window or open them in a separate browser window, toggle shared axes, annotate maxima/minima and trim labels.
• Generate rolling means, mean overlays and XYZ scatter animations to inspect vector responses.

OrcaFlex integration

• Search objects and variables with live filtering, strip redundant substrings from labels and specify arc-length/extras directly in the selector.
• Reuse selections for future .sim files, apply them to batches of simulations and automatically align similarly named objects via configurable stripping rules.
• Load AnyQATS directly from the GUI for side-by-side inspection of the same datasets.

SWAN tool

• Includes a standalone SWANtool workflow with support for non-stationary NetCDF (.nc) files in the current version.

Convenience utilities

• Switch between light and dark themes, embed plots, open external viewers and manage offsets/scaling presets via save/load dialogs.
• Track file loading progress with an integrated progress bar and optional preloading callbacks.

Installation

pip install anytimes

For running on Windows without a Python environment installed, download the .exe file from releases. If you prefer to build the executable yourself, follow the PyInstaller packaging guide to produce a standalone ANYtimeSeries.exe from the sources.

Requirements

• numpy
• pandas
• scipy
• PySide6
• matplotlib

Optional Requirements

• plotly
• bokeh
• OrcFxAPI and Orcaflex (licenced or Demo)

Usage

After installation, import the GUI module in your Python project:

from anytimes import anytimes_gui

The module exposes Qt widgets for building custom time-series exploration tools.

You can also launch the GUI from the command line using the anytimes entry point or via Python's module launcher:

C:\Python\Python313\Scripts\anytimes
python -m anytimes

You can start the GUI programmatically by calling:

anytimes_gui.main()

Another approach is to make some_file.bat and put it on your desktop. The contents should look something like this:

@echo off
REM Run script with specific Python interpreter

C:\Python\Python313\python.exe C:\Github\ANYtimeseries\anytimes\anytimes_gui.py
pause

Update it with the correct location of your Python environment and the .py file.

License

Released under the MIT License. See LICENSE for details.