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1		-XWiki.ldomide
	1	+XWiki.rominabaila

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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:
12		-
13		-* TVB TimeSeries datatype
14		-* Numpy arrays
15		-
16		-This widget supports 2D, 3D, and 4D arrays. In all three cases, there is a fixed shape that the TimeSeries widget expects:
17		-
18		-* for **2D**: (no_timepoints, no_channels)
19		-* for **3D**: (no_timepoints, state_variable/mode, no_channels)
20		-* for **4D**: (no_timepoints, state_variable, no_channels, mode)
21		-
22		-~* Note that the TVB TimeSeries datatype is always 4D and already has the expected shape.
23		-
24		-== Requirements and installation ==
25		-
26		-Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and Jupyter extensions should be installed:
27		-
28		-* **Libraries:**
29		-** [[mne>>https://mne.tools/0.24/install/index.html]] version 0.24
30		-** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
31		-* (((
32		-**Extensions:**
33		-
34		-(% class="box" %)
35		-(((
36		-jupyter labextension install @jupyter-widgets/jupyterlab-manager
37		-
38		-jupyter labextension install jupyter-matplotlib
39		-)))
40		-)))
41		-
42		-Then, to install the tvb-widgets library, just type:
43		-
44		-(% class="box" %)
45		-(((
46		-pip install tvb-widgets
47		-)))
48		-
49		-== API usage ==
50		-
51		-First, the correct matplotlib backend must be set, which enables the interaction with the TimeSeries widget, by running the following command:
52		-
53		-(% class="box" %)
54		-(((
55		-%matplotlib widget
56		-)))
57		-
58		- Then, the **TimeSeriesWidget** (from the tvb-widgets API) and the **//display//** function should be imported:
59		-
60		-(% class="box" %)
61		-(((
62		-from tvbwidgets.api import TimeSeriesWidget
63		-from IPython.core.display_functions import display
64		-)))
65		-
66		-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):
67		-
68		-(% class="box" %)
69		-(((
70		-tsw = TimeSeriesWidget()
71		-tsw.add_datatype(tsr)
72		-)))
73		-
74		-Finally, to display and interact with the TimeSeries widget, the **//get_widget//**// //method is used inside the //**display **//function:
75		-
76		-(% class="box" %)
77		-(((
78		-display(tsw)
79		-)))
80		-
81		-{{html}}
82		-<iframe src="https://drive.google.com/file/d/1g4ryY1VIFMUD14Mb6Dq_KVb0b2_XU4VX/preview" width="840" height="480" allow="autoplay"></iframe>
83		-{{/html}}
	8	+The inputs

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