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Author

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1		-XWiki.ldomide
	1	+XWiki.rominabaila

Content

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1		-**NOTE** - Not yet released, but testable here
2		-
3		-[[https:~~/~~/lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20Widgets/REPO/tvb-widgets/notebooks>>url:https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20Widgets/REPO/tvb-widgets/notebooks]]
4		-
5	5	== Purpose ==
6	6
7	7	It is a Jupyter widget intended for the visualization of brain signals represented as time series.
8	8
	5	+
9	9	== Inputs ==
10	10
11		-Time series can be given as inputs in two forms:
	8	+It supports time series inputs of two types:
12	12
13	13	* TVB TimeSeries datatype
14	14	* Numpy arrays
15	15
16		-This widget supports 2D, 3D, and 4D arrays. In all three cases, there is a fixed shape that the TimeSeries widget expects:
	13	+The widget supports 2-, 3-, and 4-dimensional arrays. In all three cases, there is a fixed shape that the TimeSeries widget expects:
17	17
18	18	* for **2D**: (no_timepoints, no_channels)
19	19	* for **3D**: (no_timepoints, state_variable/mode, no_channels)
20	20	* for **4D**: (no_timepoints, state_variable, no_channels, mode)
21	21
22		-~* Note that the TVB TimeSeries datatype is always 4D and already has the expected shape.
	19	+~* Note that the TVB TimeSeries datatype is always 4D and already has the expected shape.
23	23
24	24	== Requirements and installation ==
25	25
26		-Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and Jupyter extensions should be installed:
	23	+Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and  Jupyter Notebook extensions should be installed:
27	27
28	28	* **Libraries:**
29		-** [[mne>>https://mne.tools/0.24/install/index.html]] version 0.24
30	30	** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
31	31	* (((
32	32	**Extensions:**
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46	46	pip install tvb-widgets
47	47	)))
48	48
	45	+
49	49	== API usage ==
50	50
51	51	First, the correct matplotlib backend must be set, which enables the interaction with the TimeSeries widget, by running the following command:
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55	55	%matplotlib widget
56	56	)))
57	57
58		- Then, the **TimeSeriesWidget** (from the tvb-widgets API) and the **//display//** function should be imported:
	55	+ Then, the TimeSeries widget (from the tvb-widgets API) and the display function should be imported:
59	59
60	60	(% class="box" %)
61	61	(((
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75	75
76	76	(% class="box" %)
77	77	(((
78		-display(tsw)
	75	+display(tsw.get_widget())
79	79	)))
80	80
81	81	{{html}}