- 23 Sep, 2020 9 commits
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
- Added several new options to handle data sets with many samples. - New options allow to specify to how many samples a dataset should be downsampled to, either with or without filtering. The default is using no filtering, which leads to much faster computing times.
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- 09 Jul, 2020 2 commits
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Michael Rudolf authored
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Michael Rudolf authored
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- 20 May, 2020 1 commit
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Michael Rudolf authored
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- 18 May, 2020 2 commits
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Michael Rudolf authored
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Michael Rudolf authored
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- 16 May, 2020 3 commits
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Michael Rudolf authored
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Michael Rudolf authored
Fixed weird behaviour of bootstrap fitting for VST tests Switched to scipy.optimize.curve_fit for this case.
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Michael Rudolf authored
- Opening folders automatically creates a reloadable project config
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- 06 May, 2020 1 commit
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Michael Rudolf authored
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- 29 Apr, 2020 6 commits
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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Michael Rudolf authored
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- 01 Apr, 2020 2 commits
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Michael Rudolf authored
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Michael Rudolf authored
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- 03 Dec, 2019 14 commits
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Michael Rudolf authored
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Michael Rudolf authored
- Added the possibility to get dilation data - Replaced Savgol filter with median filter because of pick distortion - Some minor formatting changes
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Michael Rudolf authored
The GUI Version is now fully functional and integrated into RST_Func. To start the GUI-based picking use `python3 RST_pick_GUI.py`. When using the default options it is equivalent to RST_main.py. - Added more default options to the config. - Extended the `eval_shearstress` function by the option to review picks - Changed the convention of DocStrings from single to double quotes. - Added DocStrings to some functions.
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Will allow to change parameters and easier opening of files.
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Added some more files to .gitignore
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This is more consistent with the rest of the code.
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Michael Rudolf authored
- Changed from Pandas dataframes to numpy arrays or native python types - Replaced savgol-filter with scipy.signal.savgol_filter (250% faster) - Improved peak-detection (2000% faster) - Optimized the mutual linear regression with list comprehensions - Added a bootstrap linear regression function - Replaced hardcoded axis scaling by ratio (x1.125 instead of +2000) - Removed all r'strings' for a more consistent layout, using \\ for TeX - The timeseries plot is now flexible for experiments with less runs - The saving functions were adjusted to match the new data types - Some variables have been renamed - Cleaned and reformatted code to match pep8 style
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Michael Rudolf authored
Added Manual Picking\n - Currently independent from the rest of the scripts\n - Manual selection of peaks, for cross-checking the automatic picks
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