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
on 2022/04/12 13:26
Change comment:
There is no comment for this version
To version 12.1
edited by rominabaila
on 2022/04/12 09:31
on 2022/04/12 09:31
Change comment:
There is no comment for this version
Summary
-
Page properties (2 modified, 0 added, 0 removed)
Details
- Page properties
-
- Author
-
... ... @@ -1,1 +1,1 @@ 1 -XWiki. paulapopa1 +XWiki.rominabaila - Content
-
... ... @@ -2,24 +2,26 @@ 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 seriescan be givenas inputsintwoforms:8 +It supports time series inputs of two types: 8 8 9 9 * TVB TimeSeries datatype 10 10 * Numpy arrays 11 11 12 -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: 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 25 ** [[ipympl>>https://github.com/matplotlib/ipympl#installation]] ... ... @@ -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}}