Warning: The EBRAINS Drive and EBRAINS Lab will down on Tuesday, the 8th of July 2025 starting from 5pm CEST (my timezone) for up to 1 hour.


Changes for page Widget TimeSeries

Last modified by ldomide on 2023/05/23 14:34
From version 17.1
edited by paulapopa
on 2022/04/12 13:26
Change comment: There is no comment for this version
To version 4.1
edited by rominabaila
on 2022/04/12 08:55
Change comment: There is no comment for this version

Summary

Details

Page properties
Author
... ... @@ -1,1 +1,1 @@
1 -XWiki.paulapopa
1 +XWiki.rominabaila
Content
... ... @@ -1,78 +1,3 @@
1 1  == Purpose ==
2 2  
3 3  It is a Jupyter widget intended for the visualization of brain signals represented as time series.
4 -
5 -== Inputs ==
6 -
7 -Time series can be given as inputs in two forms:
8 -
9 -* TVB TimeSeries datatype
10 -* Numpy arrays
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 -
14 -* for **2D**: (no_timepoints, no_channels)
15 -* for **3D**: (no_timepoints, state_variable/mode, no_channels)
16 -* for **4D**: (no_timepoints, state_variable, no_channels, mode)
17 -
18 -~* Note that the TVB TimeSeries datatype is always 4D and already has the expected shape.
19 -
20 -== Requirements and installation ==
21 -
22 -Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and Jupyter extensions should be installed:
23 -
24 -* **Libraries:**
25 -** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
26 -* (((
27 -**Extensions:**
28 -
29 -(% class="box" %)
30 -(((
31 -jupyter labextension install @jupyter-widgets/jupyterlab-manager
32 -
33 -jupyter labextension install jupyter-matplotlib
34 -)))
35 -)))
36 -
37 -Then, to install the tvb-widgets library, just type:
38 -
39 -(% class="box" %)
40 -(((
41 -pip install tvb-widgets
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}}
image-20220412103041-1.png
Author
... ... @@ -1,1 +1,0 @@
1 -XWiki.rominabaila
Size
... ... @@ -1,1 +1,0 @@
1 -680.1 KB
Content
image-20220412103045-2.png
Author
... ... @@ -1,1 +1,0 @@
1 -XWiki.rominabaila
Size
... ... @@ -1,1 +1,0 @@
1 -680.1 KB
Content
Public

TVB Widgets