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Changes for page Widget TimeSeries

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

From version 18.1
edited by ldomide
on 2022/04/13 10:08
Change comment: There is no comment for this version
To version 12.1
edited by rominabaila
on 2022/04/12 09:31
Change comment: There is no comment for this version

Summary

Details

Page properties
Author
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1 -XWiki.ldomide
1 +XWiki.rominabaila
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 +
5 5  == Inputs ==
6 6  
7 -Time series can be given as inputs in two forms:
8 +It supports time series inputs of two types:
8 8  
9 9  * TVB TimeSeries datatype
10 10  * Numpy arrays
11 11  
12 -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:
13 13  
14 14  * for **2D**: (no_timepoints, no_channels)
15 15  * for **3D**: (no_timepoints, state_variable/mode, no_channels)
16 16  * for **4D**: (no_timepoints, state_variable, no_channels, mode)
17 17  
18 -~* Note that the TVB TimeSeries datatype is always 4D and already has the expected shape.
19 +~* Note that the TVB TimeSeries datatype is always is always 4D and already has the expected shape.
19 19  
21 +
20 20  == Requirements and installation ==
21 21  
22 -Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and Jupyter extensions should be installed:
24 +Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and  Jupyter Notebook extensions should be installed:
23 23  
24 24  * **Libraries:**
25 -** mne, [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
27 +** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
26 26  * (((
27 27  **Extensions:**
28 28  
... ... @@ -40,39 +40,3 @@
40 40  (((
41 41  pip install tvb-widgets
42 42  )))
43 -
44 -== API usage ==
45 -
46 -First, the correct matplotlib backend must be set, which enables the interaction with the TimeSeries widget, by running the following command:
47 -
48 -(% class="box" %)
49 -(((
50 -%matplotlib widget
51 -)))
52 -
53 - Then, the **TimeSeriesWidget** (from the tvb-widgets API) and the **//display//** function should be imported:
54 -
55 -(% class="box" %)
56 -(((
57 -from tvbwidgets.api import TimeSeriesWidget
58 -from IPython.core.display_functions import display
59 -)))
60 -
61 -Assuming that the user has already created or imported a valid input, this is how the widget can be initialized and how an input can be assigned to it, using the //**add_datatype** //method (example below assumes that **//tsr//  **is a TVB TimeSeries datatype):
62 -
63 -(% class="box" %)
64 -(((
65 -tsw = TimeSeriesWidget()
66 -tsw.add_datatype(tsr)
67 -)))
68 -
69 -Finally, to display and interact with the TimeSeries widget, the **//get_widget//**// //method is used inside the //**display **//function:
70 -
71 -(% class="box" %)
72 -(((
73 -display(tsw.get_widget())
74 -)))
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