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Author

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1		-XWiki.paulapopa
	1	+XWiki.rominabaila

Content

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2	2
3	3	It is a Jupyter widget intended for the visualization of brain signals represented as time series.
4	4
	5	+
5	5	== Inputs ==
6	6
7		-Time series can be given as inputs in two forms:
	8	+It supports time series inputs of two types:
8	8
9	9	* TVB TimeSeries datatype
10	10	* Numpy arrays
11	11
12		-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:
13	13
14	14	* for **2D**: (no_timepoints, no_channels)
15	15	* for **3D**: (no_timepoints, state_variable/mode, no_channels)
16	16	* for **4D**: (no_timepoints, state_variable, no_channels, mode)
17	17
18		-~* 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.
19	19
20	20	== Requirements and installation ==
21	21
22		-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:
23	23
24	24	* **Libraries:**
25	25	** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
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41	41	pip install tvb-widgets
42	42	)))
43	43
	45	+
44	44	== API usage ==
45	45
46	46	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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50	50	%matplotlib widget
51	51	)))
52	52
53		- 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:
54	54
55	55	(% class="box" %)
56	56	(((