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DEMO - Documentation

Version 15.1 by cpassow on 2022-04-04 11:29
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  • Short descriptions including Links:
    • GPFS
    • JupyterHub
    • conda ?


  • Links Repository
    • including Method Description?


  • Links to Binder


  • Screencast



Questions:

  • for whom
  • where Maxwell / local / extern
  • distribution
    • channel?
      • where official hosted (DESY, privat, conda-forge)
    • enviroment?
      • via files / already created?


conda create -n flashh5 python=3.10  # 3.10 not necessary, but would prefer 3.8 or higher
source activate flashh5
conda install ipython numpy pandas  #TODO: fix dependcies
conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5

## on jhub
conda install ipykernel
python -m ipykernel install --user --name flashh5 --display-name "flashh5"


## to remove on jhub
## delete from: /home/$USER/.local/share/jupyter/kernels/


moved to repository?
class RunDirectory:
       
   def get_run_table():  # more or less information?
       ...
   
   def get_run(daq, run_number):  # daq is not needed
       ...
   
   
class Run:
       
   def get_files():
       ...
   
   def get_channels():  # of file #1?
       ...

   def get_start_time(): # better as attribute?
       ...
   
   def get_stop_time():  # which?  |  better as attribute?
       ...
   
### for following methods to restrict number of files or separate method
### e.g. create_df(files)

   def to_df(daq_map):
       ...
   
   def to_series(channel):
       ...
   
   def to_array(channel):
       ...
ideas
run.to_df(daq_map)
run.to_series(daq_adr or daq_map) # on channel only?
run.to_array(daq_adr) # on channel only? 

## is this interesting?
# run.to_dask(daq_map)
# run.to_xarray(daq_map)