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Analysis tools for Radyn in Python

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This is an early development release of RadynPy, a nascent suite of tools to allow analysis of Radyn simulations to be performed in Python. It contains a minimal set of features to perform analysis of Radyn CDF files, and produce contribution functions.

If you don’t know what Radyn is, then this package is probably not aimed at you!

The easiest way to load a CDF file is to use radynpy.cdf.LazyRadynData. An object can be constructed by passing the path to a Radyn CDF file. Data is loaded lazily as it is requested. The normal keys of this file can then be accessed by . notation (e.g. data.tg1). To look at the indexing convention and the data layout (which is different to IDL due to handling of the record time axis), the functions index_convention, and for information on a specific variable, or set of variables, var_info can be used. var_info takes a string or list of strings for the variables of interest (this string may be ‘*’ to print information on all variables).

The class radynpy.cdf.RadynData also exists, it takes the path to a CDF file, and a list of keys to be loaded (or ‘*’ for everything). It performs similarly to LazyRadynData, but a key that was not requested at construction will not be loaded.

NOTE: By default both RadynData and LazyRadynData expect a filename in the F-CHROMA style (i.e. with the heating parameters), if your filename does not fit this style then both classes take a parseFilenameParams=False kwarg.

Contribution functions can be plotted using radynpy.matsplotlib.contib_fn. See the extensive docstring of this function for more information. Utilities used in the calculation of the contribution function can be found in radynpy.matsplotlib.utils and radynpy.matsplotlib.opacity. For the most part these are very simple functions and classes that mirror the counterparts in the Radyn software distribution produced by M. Carlsson.

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