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* Convert column desc + fix str type

- handle the new _DESC attributes, which should be translated to table.column[x].description
- convert other attributes to python strings, since numpy strings break the ability to call `table.write("output.ecsv")`

* add test for column description and writing

* fix bug where _DESC was written even if column was skipped

* only change np.str attrs to python strings

* fix typo: np.str -> np.str_

the original actually worked, since np.str_ is a subclass of str

* Convert column desc + fix str type

- handle the new _DESC attributes, which should be translated to table.column[x].description
- convert other attributes to python strings, since numpy strings break the ability to call `table.write("output.ecsv")`

* add test for column description and writing

* fix bug where _DESC was written even if column was skipped

* only change np.str attrs to python strings

* fix typo: np.str -> np.str_

the original actually worked, since np.str_ is a subclass of str

* revert accidental commit

* fix accidental commit

* make importable as  `ctapipe.io.read_table`
a954f38

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README.rst

ctapipe Test Status codacy coverage conda doilatest

Low-level data processing pipeline software for CTA (the Cherenkov Telescope Array)

This is code is a prototype data processing framework and is under rapid development. It is not recommended for production use unless you are an expert or developer!

Citing this software

If you use this software for a publication, please cite the proper version using the following DOIs:

  • v0.7.0 : doiv07
  • v0.8.0 : doiv08

Installation for Users

ctapipe and its dependencies may be installed using the Anaconda or Miniconda package system. We recommend creating a conda virtual environment first, to isolate the installed version and dependencies from your master environment (this is optional).

The following command will set up a conda virtual environment, add the necessary package channels, and install ctapipe specified version and its dependencies:

CTAPIPE_VER=0.8.0
wget https://raw.githubusercontent.com/cta-observatory/ctapipe/v$CTAPIPE_VER/environment.yml
conda env create -n cta -f environment.yml
conda activate cta
conda install -c cta-observatory ctapipe=$CTAPIPE_VER

The file environment.yml can be found in this repo. Note this is pre-alpha software and is not yet stable enough for end-users (expect large API changes until the first stable 1.0 release).

Developers should follow the development install instructions found in the documentation.

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