Releases: MyTooliT/ICOlyzer
Releases · MyTooliT/ICOlyzer
Version 1.8
General
- Require Python 3.10 or later
Analyzer
- Fix overflow error when using NumPy 2.1
Version 1.7.0
Plotter
- Add support to print IFT value in ARM 64 and ARM 32 (
armv7l
) version of Linux
Version 1.6.0
Analyzer
- Print warnings about non-monotonic timestamps, i.e. when some data that was measured after some other data was measured earlier according to the timestamp
- Add option (
-s
,--sigma
) to show standard deviation of measurement data
Plotter
-
Print lines for data loss by default
Before this update you needed to enable this feature with the option
-l
/--loss
. Now you can use the option-n
/--no-loss
to disable the visualization of the data loss.The new behavior should make it easier to spot problematic measurement data with high data loss.
Lint
- Check code with Pylint
Version 1.5.0
General
- Renamed ICOtools to ICOlyzer
- Uploaded package to PyPI
Analyzer
- Print number of sample points/channel
- Print signal to noise ratio for each channel
Plotter
- Time periods containing lost data are not highlighted by default any more
- Add option
-l
,--loss
to highlight time periods containing lost data
Version 1.4
Analyzer
- Support multiple input files
- Skip non-existent files
- Add measurement date and runtime to output
- Print warnings about long durations (more than 1 second) between consecutive timestamps
Plotter
- Add option
-p
,--print
to store plotter output as PDF file - Add option
-s
,--scatter
to use scatter instead of line plot for sensor data - Use measurement date as figure title
- The plotter now adds red lines for missing acceleration data packages
Python
- The package now requires Python 3.9 or later
Version 1.3.0
Version 1.3.0
CI
Analyzer
- Use positional argument for filename, instead of optional argument
-i
Converter
- Use positional argument for filename, instead of optional argument
-i
- Support for multiple input files
Plotter
- Use positional argument for filename, instead of optional argument
-i
- Added IFT value to graphical output
Package
- You can now install the tools using
pip
- We added CLI commands for all the tools:
icoanalyzer
icoconverter
icoplotter