High-contrast Imaging Plotting library
HCIplot -- High-contrast Imaging Plotting library. The goal of this
library is to be the "Swiss army" solution for plotting and visualizing
multi-dimensional high-contrast imaging datacubes on
While visualizing FITS files is straightforward with SaoImage DS9 or any
other FITS viewer, exploring the content of an HCI datacube as an
numpy array (for example when running your
session on a remote machine) is far from easy.
HCIplot contains two functions,
and relies on the
HoloViews libraries and
HCIplot allows to:
- Plot a single frame (2d array) or create a mosaic of frames.
Annotate and save publication ready frames/mosaics.
Visualize 2d arrays as surface plots.
Create interactive plots when handling 3d or 4d arrays (thanks to
- Save to disk a 3d array as an animation (gif or mp4).
You can install
pip install hciplot
JupyterLab can be installed either with
pip or with
conda install -c conda-forge jupyterlab
PyViz extension must be installed to display the
jupyter labextension install @pyviz/jupyterlab_pyviz
If you want to create animations with
plot_cubes you need to install
ImageMagick with your system's package manager (e.g. brew if you are
on MacOS or apt-get if you are on Ubuntu).
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