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A python package for processing eye movement data

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## Description of the problem The step function is good for most simple purposes but it results just in single step velocity spikes on differentiation. ## Description of a solution...

enhancement
good first issue

## Description of the problem Currently the synthetic.step_function returns a numpy array, which was the way we worked before building up on polars. This also means we have to create...

enhancement
good first issue

## Description of the problem To get the velocity column one currently has to write this: ```python gaze = GazeDataFrame(data) gaze.frame['velocity'] ``` As we now have standardized our column names...

enhancement
good first issue

## Description of the problem As of Nov 3rd 2023, *pydocstyle* was deprecated. https://github.com/PyCQA/pydocstyle ## Description of a solution The author of *pydocstyle* points to *ruff*, which covers the feature...

enhancement

## Description of the problem #634 has exposed an issue with the way we pass the time numpy array to `polars.from_numpy()`. Up to now we supported 1d and 2d array...

enhancement

## Description of the problem There exist several blink detection algorithms. A lot of blink detection algorithms don't work purely with eye tracking data but with image data. We need...

enhancement

## Description of the problem Currently the I-DT implementation assumes constant timesteps and raises the follwing error if that's not the case: ``` ValueError: interval between timesteps must be constant...

enhancement

## Description of the problem The code from the paper can be found here: https://github.com/r-zemblys/irf ## Description of a solution - [ ] isolate detection algorithm in original code -...

enhancement

## Description of the problem the time series in a GazeDataFrame can be not consecutive, i.e. there are timesteps completely missing in the time series. This is different from a...

enhancement