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Changes for page Widget TimeSeries

Last modified by ldomide on 2023/05/23 14:34
From version 34.1
edited by rominabaila
on 2023/05/15 11:24
Change comment: There is no comment for this version
To version 36.2
edited by rominabaila
on 2023/05/15 11:31
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -6,13 +6,13 @@
6 6  
7 7  == Purpose ==
8 8  
9 -It is a Jupyter Widget intended for the visualization of brain signals represented as time series.
9 +It is a JupyterLab Widget intended for the visualization of brain signals represented as time series.
10 10  
11 11  == Backends ==
12 12  
13 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 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).
15 +Below you can see the TS widget with each backend option (first one using the matplotlib backend, second one using the plotly backend).
16 16  
17 17  (% style="text-align:center" %)
18 18  [[image:matplotlib.png]]
... ... @@ -94,7 +94,10 @@
94 94  
95 95  After running the code from above into a Jupyter cell, you should see the TS widget corresponding to the backend you selected.
96 96  
97 -
98 98  {{html}}
99 99  <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>
100 100  {{/html}}
100 +
101 +== 1. TS widget with matplotlib and mne ==
102 +
103 +As it was already mentioned, the matplotlib widget offers more advanced scientifical fearures. In the video below, you can see some of the functionalities that this backend provides, like increasing/decreasing signal amplitude, selecting/deselecting certain signals, selecting different dimensions (state variable/mode) from the input data, navigating through the timeline, etc.
Public

TVB Widgets