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Changes for page Widget TimeSeries

Last modified by ldomide on 2023/05/23 14:34

From version 14.1
edited by rominabaila
on 2022/04/12 10:05
Change comment: There is no comment for this version
To version 18.1
edited by ldomide
on 2022/04/13 10:08
Change comment: There is no comment for this version

Summary

Details

Page properties
Author
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1 -XWiki.rominabaila
1 +XWiki.ldomide
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 -
6 6  == Inputs ==
7 7  
8 -It supports time series inputs of two types:
7 +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:
12 +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.
18 +~* 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:
22 +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:**
27 -** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
25 +** mne, [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
28 28  * (((
29 29  **Extensions:**
30 30  
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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:
53 + 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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75 75  (((
76 76  display(tsw.get_widget())
77 77  )))
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}}
Public

TVB Widgets