Attention: The Collaboratory IAM will down for up to 1 hour on Monday, the 7th of July 2025 starting from 5pm CEST (my timezone) for up to 1 hour. Any and all services, which require a user login with an EBRAINS account, will be un-available during that time


Changes for page Widget TimeSeries

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

From version 15.1
edited by rominabaila
on 2022/04/12 11:31
Change comment: There is no comment for this version
To version 5.1
edited by rominabaila
on 2022/04/12 09:11
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -5,77 +5,4 @@
5 5  
6 6  == Inputs ==
7 7  
8 -It supports time series inputs of two types:
9 -
10 -* TVB TimeSeries datatype
11 -* Numpy arrays
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:
14 -
15 -* for **2D**: (no_timepoints, no_channels)
16 -* for **3D**: (no_timepoints, state_variable/mode, no_channels)
17 -* for **4D**: (no_timepoints, state_variable, no_channels, mode)
18 -
19 -~* Note that the TVB TimeSeries datatype is always is always 4D and already has the expected shape.
20 -
21 -
22 -== Requirements and installation ==
23 -
24 -Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and  Jupyter Notebook extensions should be installed:
25 -
26 -* **Libraries:**
27 -** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
28 -* (((
29 -**Extensions:**
30 -
31 -(% class="box" %)
32 -(((
33 -jupyter labextension install @jupyter-widgets/jupyterlab-manager
34 -
35 -jupyter labextension install jupyter-matplotlib
36 -)))
37 -)))
38 -
39 -Then, to install the tvb-widgets library, just type:
40 -
41 -(% class="box" %)
42 -(((
43 -pip install tvb-widgets
44 -)))
45 -
46 -
47 -== API usage ==
48 -
49 -First, the correct matplotlib backend must be set, which enables the interaction with the TimeSeries widget, by running the following command:
50 -
51 -(% class="box" %)
52 -(((
53 -%matplotlib widget
54 -)))
55 -
56 - Then, the TimeSeries widget (from the tvb-widgets API) and the display function should be imported:
57 -
58 -(% class="box" %)
59 -(((
60 -from tvbwidgets.api import TimeSeriesWidget
61 -from IPython.core.display_functions import display
62 -)))
63 -
64 -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):
65 -
66 -(% class="box" %)
67 -(((
68 -tsw = TimeSeriesWidget()
69 -tsw.add_datatype(tsr)
70 -)))
71 -
72 -Finally, to display and interact with the TimeSeries widget, the **//get_widget//**// //method is used inside the //**display **//function:
73 -
74 -(% class="box" %)
75 -(((
76 -display(tsw.get_widget())
77 -)))
78 -
79 -{{html}}
80 -<iframe src="https://drive.google.com/file/d/1g4ryY1VIFMUD14Mb6Dq_KVb0b2_XU4VX/preview" width="840" height="480" allow="autoplay"></iframe>
81 -{{/html}}
8 +The inputs
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