Wiki source code of DEMO - Working with FLASH data

Version 26.1 by cpassow on 2022-04-06 15:31

version	line-number	content
21.1	1	test
	2
26.1	3	\\
	4
	5	{{expand}}
	6
	7
	8	{{view-file att--filename="tmp.mp4" height="250"/}}
	9	{{/expand}}
	10
	11	\\
	12
	13	\\
	14
21.1	15	----
	16
	17	=== TODO ===
	18
22.1	19	(% class="task-list" %)
	20	(((
	21	{{task reference="/Tasks/Task_18" status="InProgress"}}
	22	Short descriptions including Links: → as Text\\
2.1	23
22.1	24	(% class="task-list" %)
	25	(((
	26
	27
	28	{{task reference="/Tasks/Task_19" status="InProgress"}}
	29	GPFS
	30	{{/task}}
	31
	32	{{task reference="/Tasks/Task_20" status="InProgress"}}
	33	JupyterHub
	34	{{/task}}
	35
	36	{{task reference="/Tasks/Task_21" status="InProgress"}}
	37	conda ?
	38	{{/task}}
23.1	39
	40	{{task reference="/Tasks/Task_36" status="InProgress"}}
	41	explain install from channel instead of fixed environment, but can use environment file from example repository
	42	{{/task}}
22.1	43	)))
	44	{{/task}}
	45	)))
	46
8.1	47	\\
	48
22.1	49	(% class="task-list" %)
	50	(((
	51	{{task reference="/Tasks/Task_22" status="InProgress"}}
	52	distribution
21.1	53
22.1	54	(% class="task-list" %)
	55	(((
	56
	57
	58	{{task reference="/Tasks/Task_23" status="InProgress"}}
	59	channel (where to host?)
	60	{{/task}}
	61
	62	{{task reference="/Tasks/Task_24" status="InProgress"}}
	63	environment file (repository with examples)
	64	{{/task}}
	65	)))
	66	{{/task}}
	67	)))
	68
21.1	69	\\
	70
22.1	71	(% class="task-list" %)
	72	(((
	73	{{task reference="/Tasks/Task_25" status="InProgress"}}
	74	Documentation
2.1	75
22.1	76	(% class="task-list" %)
	77	(((
	78
	79
	80	{{task reference="/Tasks/Task_26" status="InProgress"}}
	81	here VS repository VS sphinx
	82	{{/task}}
	83	)))
	84	{{/task}}
	85	)))
	86
2.1	87	\\
	88
22.1	89	(% class="task-list" %)
	90	(((
	91	{{task reference="/Tasks/Task_27" status="InProgress"}}
	92	Binder
2.1	93
22.1	94	(% class="task-list" %)
	95	(((
	96
	97
	98	{{task reference="/Tasks/Task_28" status="InProgress"}}
	99	examples with Stefan
	100	{{/task}}
	101	)))
	102	{{/task}}
	103	)))
	104
2.1	105	\\
	106
22.1	107	(% class="task-list" %)
	108	(((
	109	{{task reference="/Tasks/Task_29" status="InProgress"}}
	110	Screencast
15.1	111
22.1	112	(% class="task-list" %)
	113	(((
	114
	115
	116	{{task reference="/Tasks/Task_30" status="InProgress"}}
	117	login in jupyter hub
	118	{{/task}}
	119
	120	{{task reference="/Tasks/Task_31" status="InProgress"}}
	121	login maxwell display
	122	{{/task}}
	123
	124	{{task reference="/Tasks/Task_32" status="InProgress"}}
	125	use slix
	126	{{/task}}
	127
	128	{{task reference="/Tasks/Task_33" status="InProgress"}}
	129	use hdfview plugin in jupterLab
	130	{{/task}}
	131
	132	{{task reference="/Tasks/Task_34" status="InProgress"}}
	133	create conda env with flashh5
	134	{{/task}}
	135	)))
	136	{{/task}}
	137	)))
	138
2.1	139	\\
	140
15.1	141	\\
	142
21.1	143	----
2.1	144
21.1	145	==== under review ====
4.1	146
	147	\\
	148
8.1	149	{{code language="bash"}}
9.1	150	conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher
8.1	151	source activate flashh5
10.1	152	conda install ipython numpy pandas #TODO: fix dependcies
8.1	153	conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5
	154
	155	## on jhub
11.1	156	conda install ipykernel
8.1	157	python -m ipykernel install --user --name flashh5 --display-name "flashh5"
	158
	159
11.1	160	## to remove on jhub
	161	## delete from: /home/$USER/.local/share/jupyter/kernels/
8.1	162	{{/code}}
	163
	164	\\
	165
6.1	166	{{code language="py" title="moved to repository?"}}
4.1	167	class RunDirectory:
	168
21.1	169	def get_run_table(): # more or less information? RunComment \| Number of Files \| start & stop time ?
4.1	170	...
	171
21.1	172	def get_run(daq, run_number): # daq is not needed!
	173
4.1	174	...
	175
	176
25.1	177	class Run: # constructor optional without RunDirectory or use there self.path
4.1	178
7.1	179	def get_files():
4.1	180	...
	181
18.1	182	def get_channels(): # of file #1
4.1	183	...
	184
8.1	185	def get_start_time(): # better as attribute?
4.1	186	...
	187
8.1	188	def get_stop_time(): # which? \| better as attribute?
4.1	189	...
12.1	190
19.1	191	def to_df(daq_map): # to_df(daq_map, slice) slice=[0:4] -> throw Exception
4.1	192	...
	193
7.1	194	def to_series(channel):
4.1	195	...
	196
7.1	197	def to_array(channel):
4.1	198	...
	199	{{/code}}
	200
6.1	201	{{code language="py" title="ideas"}}
10.1	202	run.to_df(daq_map)
	203	run.to_series(daq_adr or daq_map) # on channel only?
	204	run.to_array(daq_adr) # on channel only?
5.1	205
21.1	206	## interesting?
10.1	207	# run.to_dask(daq_map)
	208	# run.to_xarray(daq_map)
5.1	209	{{/code}}
	210
4.1	211	\\

Wiki source code of DEMO - Working with FLASH data

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