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1		-Source code: [[https:~~/~~/github.com/the-virtual-brain/tvb-widgets>>url:https://github.com/the-virtual-brain/tvb-widgets]]
2		-
3		-This is part of a Pypi release: [[https:~~/~~/pypi.org/project/tvb-widgets/>>url:https://pypi.org/project/tvb-widgets/]]
4		-
5		-//**tvb-widgets**// is also already installed in the official image released for EBRAINS lab, where you can test it directly.
6		-
7	7	== Purpose ==
8	8
9		-It is a Jupyter Widget intended for the visualization of brain signals represented as time series.
	3	+It is a Jupyter widget intended for the visualization of brain signals represented as time series.
10	10
	5	+
11	11	== Inputs ==
12	12
13		-Time series can be given as inputs in two forms:
	8	+It supports time series inputs of two types:
14	14
15	15	* TVB TimeSeries datatype
16	16	* Numpy arrays
17	17
18		-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:
19	19
20	20	* for **2D**: (no_timepoints, no_channels)
21	21	* for **3D**: (no_timepoints, state_variable/mode, no_channels)
22	22	* for **4D**: (no_timepoints, state_variable, no_channels, mode)
23	23
24		-~* 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.
25	25
26	26	== Requirements and installation ==
27	27
28		-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:
29	29
30	30	* **Libraries:**
31		-** [[mne>>https://mne.tools/0.24/install/index.html]] version 0.24
32	32	** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
33	33	* (((
34	34	**Extensions:**
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48	48	pip install tvb-widgets
49	49	)))
50	50
	45	+
51	51	== API usage ==
52	52
53	53	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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57	57	%matplotlib widget
58	58	)))
59	59
60		- 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:
61	61
62	62	(% class="box" %)
63	63	(((
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77	77
78	78	(% class="box" %)
79	79	(((
80		-display(tsw)
	75	+display(tsw.get_widget())
81	81	)))
82	82
83	83	{{html}}
84		-<iframe width="840" height="480" src="https://www.youtube.com/embed/VmueiXMxbVk" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
	79	+<iframe src="https://drive.google.com/file/d/1g4ryY1VIFMUD14Mb6Dq_KVb0b2_XU4VX/preview" width="840" height="480" allow="autoplay"></iframe>
85	85	{{/html}}

matplotlib.png

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1		-XWiki.rominabaila

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plotly.png

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