Source: glueviz Maintainer: Debian Astronomy Maintainers Uploaders: Josue Ortega Section: science Priority: optional Build-Depends: debhelper-compat (= 13), dh-sequence-python3, python3-setuptools, python3-all, python3-numpy, python3-matplotlib, python3-pyqt5, pyqt5-dev-tools, python3-h5py, python3-qtconsole, python3-qtpy, python3-mock, python3-ipykernel, python3-bottleneck, python3-setuptools-scm Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/debian-astro-team/glue Vcs-Git: https://salsa.debian.org/debian-astro-team/glue.git Homepage: https://www.glueviz.org/ Rules-Requires-Root: no Package: python3-glue Architecture: all Section: python Depends: ${python3:Depends}, ${misc:Depends}, python3-numpy, python3-matplotlib, python3-pandas, python3-astropy, python3-scipy, python3-pygments, python3-skimage, python3-plotly, python3-pyavm, python3-dill, python3-h5py, python3-xlrd, python3-ipykernel, python3-bottleneck, python3-echo Conflicts: glue-sprite Description: Python 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules. Package: glueviz Architecture: all Depends: ${python3:Depends}, ${misc:Depends}, python3-glue (= ${binary:Version}), python3-pyqt5, python3-pandas, python3-qtpy, ipython3, python3-qtconsole, python3-mpl-scatter-density Recommends: python3-spectral-cube, python3-astrodendro Conflicts: glue-sprite Description: Linked data visualization Glue is a Python project to link visualizations of scientific datasets across many files. Some of its features are: . * Interactive, linked statistical graphics of multiple files. * Support for many file formats including common image formats, ascii tables, astronomical image and table formats (fits, vot, ipac), and HDF5. Custom data loaders can also be easily added. * Highly scriptable and extendable.