ekpy
EKPMeasure is a python package designed to help scientists efficiently access and analyze their data. So often, we find ourselves with many different types of data, data from different instruments, and data with questionable meta data associated with it (often the meta data is the name you typed in, thinking “there’s no way I’ll forget what this means”). EKPMeasure is designed to help address these issues. There are two key objects:
Dataset
A Dataset is simply meta data associated with a collection of real data. In a Dataset, one can query, filter, and otherwise manipulate the meta data alone (while always maintaining the ability to easily retrieve the real data) in order to quickly find which data files you actually want to analyze.
Data
A Data object is an object returned by
Dataset.get_data()
Data allows you to apply functions to your data (allowing one to easily generate workflows associated with data analysis), and otherwise filter, modify, plot, etc. your data to streamline your data analysis.
There is a small amount of leg work to set up reading files of unique file type, but Dataset and Data are datatype agnostic. To learn more, you can see the documentation (which I am constantly updating), github repository (also constantly updating), and pypi (updating less frequently) pages.
Currently, I am the sole contributor to the project, if you are interested in getting involved and helping, feel free to send me an email.