Changes for page Widget TimeSeries
Last modified by ldomide on 2023/05/23 14:34
From version 25.1
edited by ldomide
on 2023/03/08 17:29
on 2023/03/08 17:29
Change comment:
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To version 16.1
edited by rominabaila
on 2022/04/12 13:13
on 2022/04/12 13:13
Change comment:
There is no comment for this version
Summary
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Page properties (2 modified, 0 added, 0 removed)
Details
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... ... @@ -1,1 +1,1 @@ 1 -XWiki. ldomide1 +XWiki.rominabaila - Content
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... ... @@ -1,34 +7,28 @@ 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 5 + 11 11 == Inputs == 12 12 13 - Time seriescan be givenas inputsintwoforms:8 +It supports time series inputs of two types: 14 14 15 15 * TVB TimeSeries datatype 16 16 * Numpy arrays 17 17 18 -Th iswidget supports 2D, 3D, and 4Darrays. 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: 19 19 20 20 * for **2D**: (no_timepoints, no_channels) 21 21 * for **3D**: (no_timepoints, state_variable/mode, no_channels) 22 22 * for **4D**: (no_timepoints, state_variable, no_channels, mode) 23 23 24 -~* 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. 25 25 26 26 == Requirements and installation == 27 27 28 -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: 29 29 30 30 * **Libraries:** 31 -** [[mne>>https://mne.tools/0.24/install/index.html]] version 0.24 32 32 ** [[ipympl>>https://github.com/matplotlib/ipympl#installation]] 33 33 * ((( 34 34 **Extensions:** ... ... @@ -48,6 +48,7 @@ 48 48 pip install tvb-widgets 49 49 ))) 50 50 45 + 51 51 == API usage == 52 52 53 53 First, the correct matplotlib backend must be set, which enables the interaction with the TimeSeries widget, by running the following command: ... ... @@ -57,7 +57,7 @@ 57 57 %matplotlib widget 58 58 ))) 59 59 60 - 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: 61 61 62 62 (% class="box" %) 63 63 ((( ... ... @@ -77,7 +77,7 @@ 77 77 78 78 (% class="box" %) 79 79 ((( 80 -display(tsw) 75 +display(tsw.get_widget()) 81 81 ))) 82 82 83 83 {{html}}