hesmapy 24.4.1

HESMA file format reader and writer

Hesmapy

HESMA Python - Tools for reading HESMA models

Documentation

Full documentation can be found here.

Installation

Currently, the package is only available through pip.

pip install hesmapy

In case you want to build the documentation, you'll need to install the optional dependencies as well. See pyproject.toml for a list of needed packages (mostly sphinx related packages)

Contents

hesmapy contains three main modules, one for each of the main HESMA categories (Hydro, RT, Tracer). It provides utilties to read and write files in the standardised HESMA file formats, as well as some utilities such as plotting. These utilities are mostly intended for use by HESMA itself and might be rather limited in their functionality.

Hydro

Hydro1D

This module contains the tools for one-dimensional hydro models. See below for some basic usage examples.

Loading models:

import hesmapy.base as hp
model = hp.load_hydro_1d("examples/hydro/hydro_1d.json")

Get the data from a model as a pd.DataFrame:

df = model.get_data()

Plot a model:

model.plot(show_plot=True)

Model files can be written by providing either a pd.DataFrame, dict or several np.ndarray. See the documentation for more details.

RT

Lightcurves

This module contains the tools for lightcurves and data derived from them. See below for some basic usage examples.

Loading models:

import hesmapy.base as hp
model = hp.load_rt_lightcurve("examples/rt/rt_lightcurve.json")

Get the data from a model as a pd.DataFrame:

df = model.get_data()

Plot a model:

model.plot(show_plot=True)

Spectra

This module contains the tools for spectra(l timeseries). See below for some basic usage examples.

Loading models:

import hesmapy.base as hp
model = hp.load_rt_spectrum("examples/rt/rt_spectrum.json")

Get the data from a model as a list of pd.DataFrame (one for each timestep):

dfs = model.get_data()

Plot a model:

model.plot(show_plot=True)``````


Model files can be written by providing either a ``pd.DataFrame``, ``dict`` or several ``np.ndarray``.
See the documentation for more details.

### Tracer
*(Not yet implemented)*