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  • matplotlib.png
  • plotly.png

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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	+
1	1	== Purpose ==
2	2
3		-It is a Jupyter widget intended for the visualization of brain signals represented as time series.
	9	+It is a Jupyter Widget intended for the visualization of brain signals represented as time series.
4	4
	11	+== Backends ==
5	5
	13	+Starting with //**tvb-widgets 1.5.0**, //the TS widget comes in 2 forms, corresponding to the 2 different libraries (we called them backends) used for plotting: **matplotlib **and **plotly**. The matplotlib backend, build on top of the **mne** library, offers more advanced scientifical features, while the plotly backend has a more appealing look and moves faster when talking about the basic interactions.
	14	+
	15	+Below you can see the TS widget with each backend option (first one using the matplotlib backend, the second one using the plotly backend).
	16	+
	17	+(% style="text-align:center" %)
	18	+[[image:matplotlib.png]]
	19	+
	20	+(% style="text-align:center" %)
	21	+[[image:plotly.png]]
	22	+
6	6	== Inputs ==
7	7
8		-It supports time series inputs of two types:
	25	+Time series can be given as inputs in two forms:
9	9
10	10	* TVB TimeSeries datatype
11	11	* Numpy arrays
12	12
13		-The widget supports 2-, 3-, and 4-dimensional arrays. In all three cases, there is a fixed shape that the TimeSeries widget expects:
	30	+This widget supports 2D, 3D, and 4D arrays. In all three cases, there is a fixed shape that the TimeSeries widget expects:
14	14
15	15	* for **2D**: (no_timepoints, no_channels)
16	16	* for **3D**: (no_timepoints, state_variable/mode, no_channels)
17	17	* for **4D**: (no_timepoints, state_variable, no_channels, mode)
18	18
19		-~* Note that the TVB TimeSeries datatype is always is always 4D and already has the expected shape.
	36	+~* Note that the TVB TimeSeries datatype is always 4D and already has the expected shape.
20	20
21		-
22	22	== Requirements and installation ==
23	23
24		-Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and  Jupyter Notebook extensions should be installed:
	40	+Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and Jupyter extensions should be installed:
25	25
26	26	* **Libraries:**
	43	+** [[mne>>https://mne.tools/0.24/install/index.html]] version 0.24
27	27	** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
28	28	* (((
29	29	**Extensions:**
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43	43	pip install tvb-widgets
44	44	)))
45	45
46		-
47	47	== API usage ==
48	48
49	49	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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53	53	%matplotlib widget
54	54	)))
55	55
56		- Then, the TimeSeries widget (from the tvb-widgets API) and the display function should be imported:
	72	+ Then, the **TimeSeriesWidget** (from the tvb-widgets API) and the **//display//** function should be imported:
57	57
58	58	(% class="box" %)
59	59	(((
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73	73
74	74	(% class="box" %)
75	75	(((
76		-display(tsw.get_widget())
	92	+display(tsw)
77	77	)))
78	78
79	79	{{html}}
80		-<iframe src="https://drive.google.com/file/d/1g4ryY1VIFMUD14Mb6Dq_KVb0b2_XU4VX/preview" width="840" height="480" allow="autoplay"></iframe>
	96	+<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>
81	81	{{/html}}

matplotlib.png

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	1	+XWiki.rominabaila

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plotly.png

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