Changes for page DEMO - Working with FLASH data
Last modified by makuadm on 2026-01-07 06:21
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... ... @@ -5,12 +5,10 @@ 5 5 ** JupyterHub 6 6 ** conda ? 7 7 8 -\\ 9 - 10 10 (% style="list-style-type: square;" %) 11 11 * Links Repository 12 12 (% style="list-style-type: square;" %) 13 -** including Method Description ?11 +** including Method Description 14 14 15 15 \\ 16 16 ... ... @@ -26,76 +26,4 @@ 26 26 (% style="list-style-type: square;" %) 27 27 * for whom 28 28 * where Maxwell / local / extern 29 -* distribution\\ 30 -(% style="list-style-type: square;" %) 31 -** channel? 32 -(% style="list-style-type: square;" %) 33 -*** where official hosted (DESY, privat, conda-forge) 34 -** enviroment? 35 -(% style="list-style-type: square;" %) 36 -*** via files / already created? 37 - 38 -\\ 39 - 40 -{{code language="bash"}} 41 -conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher 42 -source activate flashh5 43 -conda install ipython numpy pandas #TODO: fix dependcies 44 -conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5 45 - 46 -## on jhub 47 -conda install ipykernel 48 -python -m ipykernel install --user --name flashh5 --display-name "flashh5" 49 - 50 - 51 -## to remove on jhub 52 -## delete from: /home/$USER/.local/share/jupyter/kernels/ 53 -{{/code}} 54 - 55 -\\ 56 - 57 -{{code language="py" title="moved to repository?"}} 58 -class RunDirectory: 59 - 60 - def get_run_table(): 61 - ... 62 - 63 - def get_run(daq, run_number): 64 - ... 65 - 66 - 67 -class Run: 68 - 69 - def get_files(): 70 - ... 71 - 72 - def get_channels(): # of file #1? 73 - ... 74 - 75 - def get_start_time(): # better as attribute? 76 - ... 77 - 78 - def get_stop_time(): # which? | better as attribute? 79 - ... 80 - 81 - def to_df(daq_map): 82 - ... 83 - 84 - def to_series(channel): 85 - ... 86 - 87 - def to_array(channel): 88 - ... 89 -{{/code}} 90 - 91 -{{code language="py" title="ideas"}} 92 -run.to_df(daq_map) 93 -run.to_series(daq_adr or daq_map) # on channel only? 94 -run.to_array(daq_adr) # on channel only? 95 - 96 -## is this interesting? 97 -# run.to_dask(daq_map) 98 -# run.to_xarray(daq_map) 99 -{{/code}} 100 - 101 -\\ 27 +* distribution