Changes for page Widget TimeSeries
Last modified by ldomide on 2023/05/23 14:34
From version 3.1
edited by ldomide
on 2022/03/23 21:44
on 2022/03/23 21:44
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To version 15.1
edited by rominabaila
on 2022/04/12 11:31
on 2022/04/12 11:31
Change comment:
There is no comment for this version
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... ... @@ -1,10 +1,81 @@ 1 -TODO 2 -! pip install -i tvb-widgets 3 -from tvbwidgets.api import TimeseriesWidget 1 +== Purpose == 2 + 3 +It is a Jupyter widget intended for the visualization of brain signals represented as time series. 4 + 5 + 6 +== Inputs == 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 4 4 from IPython.core.display_functions import display 5 -tw = TimeseriesWidget(...) 6 -display(tw.get_widget()) 7 - 8 -{{html}}<iframe src="https://drive.google.com/file/d/1mPqBEjEkyn4ziR-qCdmjq6s24QqqNNOV/preview" width="840" height="480" allow="autoplay"></iframe>{{/html}} 62 +))) 9 9 10 - 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}}
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