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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 is always 4D and already has the expected shape.
19	19
	21	+
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:
	24	+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]]
26	26	* (((
27		-**Extensions:**
	29	+**Extensions:***
28	28
29	29	(% class="box" %)
30	30	(((
31	31	jupyter labextension install @jupyter-widgets/jupyterlab-manager
	34	+)))
32	32
	36	+* (% class="box" %)
	37	+(((
33	33	jupyter labextension install jupyter-matplotlib
34	34	)))
35	35	)))
36	36
37		-Then, to install the tvb-widgets library, just type:
	42	+Then, to install the tvb-widgets library just type:
38	38
39	39	(% class="box" %)
40	40	(((
41	41	pip install tvb-widgets
42	42	)))
43		-
44		-== API usage ==
45		-
46		-First, the correct matplotlib backend must be set, which enables the interaction with the TimeSeries widget, by running the following command:
47		-
48		-(% class="box" %)
49		-(((
50		-%matplotlib widget
51		-)))
52		-
53		- Then, the **TimeSeriesWidget** (from the tvb-widgets API) and the **//display//** function should be imported:
54		-
55		-(% class="box" %)
56		-(((
57		-from tvbwidgets.api import TimeSeriesWidget
58		-from IPython.core.display_functions import display
59		-)))
60		-
61		-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):
62		-
63		-(% class="box" %)
64		-(((
65		-tsw = TimeSeriesWidget()
66		-tsw.add_datatype(tsr)
67		-)))
68		-
69		-Finally, to display and interact with the TimeSeries widget, the **//get_widget//**// //method is used inside the //**display **//function:
70		-
71		-(% class="box" %)
72		-(((
73		-display(tsw.get_widget())
74		-)))
75		-
76		-{{html}}
77		-<iframe src="https://drive.google.com/file/d/1g4ryY1VIFMUD14Mb6Dq_KVb0b2_XU4VX/preview" width="840" height="480" allow="autoplay"></iframe>
78		-{{/html}}

image-20220412103045-2.png

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1		-XWiki.rominabaila

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