v1.0.1post1

• JOSS publication: updated DOIs
• Utils: example_data now includes auto-download of example data
• General: supports only python 3.10 and up to 3.11
• Batch: naked and init(empty=True) easier method for creating batch with empty pages
• File handling: new fix in find_files
• Batch / Utils: refactored and updated Collectors (using plotly)
• Batch: new summary plotter (using plotly)
• Batch: new convenience function for automatically creating batch from batch-file if file exists.
• Batch: added mark and drop methods
• CLI: added possibility to use custom jupyter executable
• Added checks (c.has_xxx) for checking if data has been processed correctly / fix errors in raw/semi-processed data.
• Added possibility to filter on C-rates (c.get_cycles)
• Added experimental feature c.total_time_at_voltage_level for calculating total time at low/high voltage
• Added experimental instrument reader for neware xlsx files (hopefully not used much because it is very slow)
• Added try-except block for ica post-processing step and add if-clause (suggested by Vajee)
• Fixed several smaller bugs and improved some of the functionality (most notably in c.get_cap)
• Added CI for macOS
• Added conda package including sqlalchemy-access
• Improved plotting tools
• Improved documentation
• Improved feedback from the CLI

v.1.0.1

• Utils: example_data now includes auto-download of example data
• General: supports only python 3.10 and up to 3.11
• Batch: naked and init(empty=True) easier method for creating batch with empty pages
• File handling: new fix in find_files
• Batch / Utils: refactored and updated Collectors (using plotly)
• Batch: new summary plotter (using plotly)
• Batch: new convenience function for automatically creating batch from batch-file if file exists.
• Batch: added mark and drop methods
• CLI: added possibility to use custom jupyter executable
• Added checks (c.has_xxx) for checking if data has been processed correctly / fix errors in raw/semi-processed data.
• Added possibility to filter on C-rates (c.get_cycles)
• Added experimental feature c.total_time_at_voltage_level for calculating total time at low/high voltage
• Added experimental instrument reader for neware xlsx files (hopefully not used much because it is very slow)
• Added try-except block for ica post-processing step and add if-clause (suggested by Vajee)
• Fixed several smaller bugs and improved some of the functionality (most notably in c.get_cap)
• Added CI for macOS
• Added conda package including sqlalchemy-access
• Improved plotting tools
• Improved documentation
• Improved feedback from the CLI

v1.0.0post4

v.1.0.0post4 - Finally cellpy reached a stable API

Or at least that is what we believe at the moment.

Here is a list of changes:

• Unit handling: new unit handling (using pint)
• Unit handling: renaming summary headers
• Unit handling: new cellpy-file-format version
• Unit handling: tool for converting old to new format
• Unit handling: parsing input parameters for units
• Templates: using one repository with sub-folders
• Templates: adding more documentation
• File handling: allow for external raw files (ssh)
• Readers: neware.txt (one version/model)
• Readers: arbin_sql7 (experimental, @jtgibson91)
• Batch plotting: collectors for both data collection, plotting and saving
• OCV-rlx: improvements of the OCV-rlx tools
• Internals: rename main classes (CellpyData -> CellpyCell, Cell -> Data)
• Internals: rename .cell property to .data
• Internals: allow for only one Data-object pr CellpyCell object
• CLI: general improvements and bug fixes
• CLI: move editing of db-file to the edit sub-command

Thanks to everyone contributing to cellpy. Or other open source softwares.