Skip to Content
Last modified by makuadm on 2026-01-07 06:21
From version 20.1
edited by cpassow
on 2022-04-04 15:18
Change comment: There is no comment for this version
To version 9.1
edited by cpassow
on 2022-04-04 09:31
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -1,5 +1,5 @@
1 1  (% style="list-style-type: square;" %)
2 -* Short descriptions including Links:   → as Text\\
2 +* Short descriptions including Links:
3 3  (% style="list-style-type: square;" %)
4 4  ** GPFS
5 5  ** JupyterHub
... ... @@ -10,7 +10,7 @@
10 10  (% style="list-style-type: square;" %)
11 11  * Links Repository
12 12  (% style="list-style-type: square;" %)
13 -** including Method Description: Readme or Sphinx ?
13 +** including Method Description?
14 14  
15 15  \\
16 16  
... ... @@ -19,20 +19,21 @@
19 19  
20 20  \\
21 21  
22 -(% style="list-style-type: square;" %)
23 -* Screencast
24 -
25 25  \\
26 26  
27 -\\
28 -
29 29  Questions:
30 30  
31 31  (% style="list-style-type: square;" %)
27 +* for whom
28 +* where Maxwell / local / extern
32 32  * distribution\\
33 33  (% style="list-style-type: square;" %)
34 -** channel
35 -** enviroment → as example for binder
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?
36 36  
37 37  \\
38 38  
... ... @@ -39,27 +39,26 @@
39 39  {{code language="bash"}}
40 40  conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher
41 41  source activate flashh5
42 -conda install ipython numpy pandas #TODO: fix dependcies
43 +conda install ipython numpy pandas # fix dependcies
43 43  conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5
44 44  
45 45  ## on jhub
46 -conda install ipykernel
47 47  python -m ipykernel install --user --name flashh5 --display-name "flashh5"
48 48  
49 49  
50 -## to remove on jhub
51 -## delete from: /home/$USER/.local/share/jupyter/kernels/
52 52  {{/code}}
53 53  
54 54  \\
55 55  
54 +\\
55 +
56 56  {{code language="py" title="moved to repository?"}}
57 57  class RunDirectory:
58 58  
59 - def get_run_table(): # more or less information? RunComment | Number of Files
59 + def get_run_table():
60 60   ...
61 61  
62 - def get_run(daq, run_number): # daq is not needed
62 + def get_run(daq, run_number):
63 63   ...
64 64  
65 65  
... ... @@ -68,7 +68,7 @@
68 68   def get_files():
69 69   ...
70 70  
71 - def get_channels(): # of file #1
71 + def get_channels(): # of file #1?
72 72   ...
73 73  
74 74   def get_start_time(): # better as attribute?
... ... @@ -77,10 +77,7 @@
77 77   def get_stop_time(): # which? | better as attribute?
78 78   ...
79 79  
80 -### for following methods to restrict number of files or separate method
81 -### e.g. create_df(files)
82 -
83 - def to_df(daq_map): # to_df(daq_map, slice) slice=[0:4] -> throw Exception
80 + def to_df(channel_map):
84 84   ...
85 85  
86 86   def to_series(channel):
... ... @@ -91,13 +91,13 @@
91 91  {{/code}}
92 92  
93 93  {{code language="py" title="ideas"}}
94 -run.to_df(daq_map)
95 -run.to_series(daq_adr or daq_map) # on channel only?
96 -run.to_array(daq_adr) # on channel only?
91 +run.to_df(channel_map)
92 +run.to_series(channel_string or channel_map) # on channel only?
93 +run.to_array(channel_string) # on channel only?
97 97  
98 98  ## is this interesting?
99 -# run.to_dask(daq_map)
100 -# run.to_xarray(daq_map)
96 +# run.to_dask(dict)
97 +# run.to_xarray(dict)
101 101  {{/code}}
102 102  
103 103  \\