Wiki source code of DEMO - Working with FLASH data

Version 23.1 by cpassow on 2022-04-05 16:14

version	line-number	content
21.1	1	test
	2
	3	----
	4
	5	=== TODO ===
	6
22.1	7	(% class="task-list" %)
	8	(((
	9	{{task reference="/Tasks/Task_18" status="InProgress"}}
	10	Short descriptions including Links: → as Text\\
2.1	11
22.1	12	(% class="task-list" %)
	13	(((
	14
	15
	16	{{task reference="/Tasks/Task_19" status="InProgress"}}
	17	GPFS
	18	{{/task}}
	19
	20	{{task reference="/Tasks/Task_20" status="InProgress"}}
	21	JupyterHub
	22	{{/task}}
	23
	24	{{task reference="/Tasks/Task_21" status="InProgress"}}
	25	conda ?
	26	{{/task}}
23.1	27
	28	{{task reference="/Tasks/Task_36" status="InProgress"}}
	29	explain install from channel instead of fixed environment, but can use environment file from example repository
	30	{{/task}}
22.1	31	)))
	32	{{/task}}
	33	)))
	34
8.1	35	\\
	36
22.1	37	(% class="task-list" %)
	38	(((
	39	{{task reference="/Tasks/Task_22" status="InProgress"}}
	40	distribution
21.1	41
22.1	42	(% class="task-list" %)
	43	(((
	44
	45
	46	{{task reference="/Tasks/Task_23" status="InProgress"}}
	47	channel (where to host?)
	48	{{/task}}
	49
	50	{{task reference="/Tasks/Task_24" status="InProgress"}}
	51	environment file (repository with examples)
	52	{{/task}}
	53	)))
	54	{{/task}}
	55	)))
	56
21.1	57	\\
	58
22.1	59	(% class="task-list" %)
	60	(((
	61	{{task reference="/Tasks/Task_25" status="InProgress"}}
	62	Documentation
2.1	63
22.1	64	(% class="task-list" %)
	65	(((
	66
	67
	68	{{task reference="/Tasks/Task_26" status="InProgress"}}
	69	here VS repository VS sphinx
	70	{{/task}}
	71	)))
	72	{{/task}}
	73	)))
	74
2.1	75	\\
	76
22.1	77	(% class="task-list" %)
	78	(((
	79	{{task reference="/Tasks/Task_27" status="InProgress"}}
	80	Binder
2.1	81
22.1	82	(% class="task-list" %)
	83	(((
	84
	85
	86	{{task reference="/Tasks/Task_28" status="InProgress"}}
	87	examples with Stefan
	88	{{/task}}
	89	)))
	90	{{/task}}
	91	)))
	92
2.1	93	\\
	94
22.1	95	(% class="task-list" %)
	96	(((
	97	{{task reference="/Tasks/Task_29" status="InProgress"}}
	98	Screencast
15.1	99
22.1	100	(% class="task-list" %)
	101	(((
	102
	103
	104	{{task reference="/Tasks/Task_30" status="InProgress"}}
	105	login in jupyter hub
	106	{{/task}}
	107
	108	{{task reference="/Tasks/Task_31" status="InProgress"}}
	109	login maxwell display
	110	{{/task}}
	111
	112	{{task reference="/Tasks/Task_32" status="InProgress"}}
	113	use slix
	114	{{/task}}
	115
	116	{{task reference="/Tasks/Task_33" status="InProgress"}}
	117	use hdfview plugin in jupterLab
	118	{{/task}}
	119
	120	{{task reference="/Tasks/Task_34" status="InProgress"}}
	121	create conda env with flashh5
	122	{{/task}}
	123	)))
	124	{{/task}}
	125	)))
	126
2.1	127	\\
	128
15.1	129	\\
	130
21.1	131	----
2.1	132
21.1	133	==== under review ====
4.1	134
	135	\\
	136
8.1	137	{{code language="bash"}}
9.1	138	conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher
8.1	139	source activate flashh5
10.1	140	conda install ipython numpy pandas #TODO: fix dependcies
8.1	141	conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5
	142
	143	## on jhub
11.1	144	conda install ipykernel
8.1	145	python -m ipykernel install --user --name flashh5 --display-name "flashh5"
	146
	147
11.1	148	## to remove on jhub
	149	## delete from: /home/$USER/.local/share/jupyter/kernels/
8.1	150	{{/code}}
	151
	152	\\
	153
6.1	154	{{code language="py" title="moved to repository?"}}
4.1	155	class RunDirectory:
	156
21.1	157	def get_run_table(): # more or less information? RunComment \| Number of Files \| start & stop time ?
4.1	158	...
	159
21.1	160	def get_run(daq, run_number): # daq is not needed!
	161
4.1	162	...
	163
	164
	165	class Run:
	166
7.1	167	def get_files():
4.1	168	...
	169
18.1	170	def get_channels(): # of file #1
4.1	171	...
	172
8.1	173	def get_start_time(): # better as attribute?
4.1	174	...
	175
8.1	176	def get_stop_time(): # which? \| better as attribute?
4.1	177	...
12.1	178
19.1	179	def to_df(daq_map): # to_df(daq_map, slice) slice=[0:4] -> throw Exception
4.1	180	...
	181
7.1	182	def to_series(channel):
4.1	183	...
	184
7.1	185	def to_array(channel):
4.1	186	...
	187	{{/code}}
	188
6.1	189	{{code language="py" title="ideas"}}
10.1	190	run.to_df(daq_map)
	191	run.to_series(daq_adr or daq_map) # on channel only?
	192	run.to_array(daq_adr) # on channel only?
5.1	193
21.1	194	## interesting?
10.1	195	# run.to_dask(daq_map)
	196	# run.to_xarray(daq_map)
5.1	197	{{/code}}
	198
4.1	199	\\

Wiki source code of DEMO - Working with FLASH data

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