Changes for page DEMO - Working with FLASH data

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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
...	...	@@ -37,22 +37,6 @@
37	37
38	38	\\
39	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		-python -m ipykernel install --user --name flashh5 --display-name "flashh5"
48		-
49		-
50		-{{/code}}
51		-
52		-\\
53		-
54		-\\
55		-
56	56	{{code language="py" title="moved to repository?"}}
57	57	class RunDirectory:
58	58
...	...	@@ -71,13 +71,13 @@
71	71	def get_channels(): # of file #1?
72	72	...
73	73
74		- def get_start_time(): # better as attribute?
	56	+ def get_start_time():
75	75	...
76	76
77		- def get_stop_time(): # which? | better as attribute?
	59	+ def get_stop_time(): # which?
78	78	...
79	79
80		- def to_df(daq_map):
	62	+ def to_df(channel_map):
81	81	...
82	82
83	83	def to_series(channel):
...	...	@@ -88,13 +88,12 @@
88	88	{{/code}}
89	89
90	90	{{code language="py" title="ideas"}}
91		-run.to_df(daq_map)
92		-run.to_series(daq_adr or daq_map) # on channel only?
93		-run.to_array(daq_adr) # on channel only?
	73	+run.to_df(channel_map)
	74	+run.to_series(channel_string or channel_map) # on channel only?
	75	+run.to_array(channel_string) # on channel only?
94	94
95		-## is this interesting?
96		-# run.to_dask(daq_map)
97		-# run.to_xarray(daq_map)
	77	+# run.to_dask(dict)
	78	+# run.to_xarray(dict)
98	98	{{/code}}
99	99
100	100	\\