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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		-
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
11		-== Backends ==
12	12
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		-
23	23	== Inputs ==
24	24
25		-Time series can be given as inputs in two forms:
	8	+It supports time series inputs of two types:
26	26
27	27	* TVB TimeSeries datatype
28	28	* Numpy arrays
29	29
30		-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:
31	31
32	32	* for **2D**: (no_timepoints, no_channels)
33	33	* for **3D**: (no_timepoints, state_variable/mode, no_channels)
34	34	* for **4D**: (no_timepoints, state_variable, no_channels, mode)
35	35
36		-~* 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.
37	37
38	38	== Requirements and installation ==
39	39
40		-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:
41	41
42	42	* **Libraries:**
43		-** [[mne>>https://mne.tools/0.24/install/index.html]] version 0.24
44	44	** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
45	45	* (((
46	46	**Extensions:**
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60	60	pip install tvb-widgets
61	61	)))
62	62
	45	+
63	63	== API usage ==
64	64
65	65	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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69	69	%matplotlib widget
70	70	)))
71	71
72		- 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:
73	73
74	74	(% class="box" %)
75	75	(((
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89	89
90	90	(% class="box" %)
91	91	(((
92		-display(tsw)
	75	+display(tsw.get_widget())
93	93	)))
94	94
95	95	{{html}}
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>
	79	+<iframe src="https://drive.google.com/file/d/1g4ryY1VIFMUD14Mb6Dq_KVb0b2_XU4VX/preview" width="840" height="480" allow="autoplay"></iframe>
97	97	{{/html}}

matplotlib.png

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