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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 is always 4D and already has the expected shape.
25	25
	21	+
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:
	24	+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		-**Extensions:**
	29	+**Extensions:***
35	35
36	36	(% class="box" %)
37	37	(((
38	38	jupyter labextension install @jupyter-widgets/jupyterlab-manager
	34	+)))
39	39
	36	+* (% class="box" %)
	37	+(((
40	40	jupyter labextension install jupyter-matplotlib
41	41	)))
42	42	)))
43	43
44		-Then, to install the tvb-widgets library, just type:
	42	+Then, to install the tvb-widgets library just type:
45	45
46	46	(% class="box" %)
47	47	(((
48	48	pip install tvb-widgets
49	49	)))
50		-
51		-== API usage ==
52		-
53		-First, the correct matplotlib backend must be set, which enables the interaction with the TimeSeries widget, by running the following command:
54		-
55		-(% class="box" %)
56		-(((
57		-%matplotlib widget
58		-)))
59		-
60		- Then, the **TimeSeriesWidget** (from the tvb-widgets API) and the **//display//** function should be imported:
61		-
62		-(% class="box" %)
63		-(((
64		-from tvbwidgets.api import TimeSeriesWidget
65		-from IPython.core.display_functions import display
66		-)))
67		-
68		-Assuming that the user has already created or imported a valid input, this is how the widget can be initialized and how an input can be assigned to it, using the //**add_datatype** //method (example below assumes that **//tsr//  **is a TVB TimeSeries datatype):
69		-
70		-(% class="box" %)
71		-(((
72		-tsw = TimeSeriesWidget()
73		-tsw.add_datatype(tsr)
74		-)))
75		-
76		-Finally, to display and interact with the TimeSeries widget, the **//get_widget//**// //method is used inside the //**display **//function:
77		-
78		-(% class="box" %)
79		-(((
80		-display(tsw)
81		-)))
82		-
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>
85		-{{/html}}

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