Changes for page Widget TimeSeries
Last modified by ldomide on 2023/05/23 14:34
From version 2.1
edited by ldomide
on 2022/03/23 21:39
on 2022/03/23 21:39
Change comment:
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To version 16.1
edited by rominabaila
on 2022/04/12 13:13
on 2022/04/12 13:13
Change comment:
There is no comment for this version
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... ... @@ -1,12 +1,80 @@ 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 4D and already has the expected shape. 20 + 21 +== Requirements and installation == 22 + 23 +Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and Jupyter Notebook extensions should be installed: 24 + 25 +* **Libraries:** 26 +** [[ipympl>>https://github.com/matplotlib/ipympl#installation]] 27 +* ((( 28 +**Extensions:** 29 + 30 +(% class="box" %) 31 +((( 32 +jupyter labextension install @jupyter-widgets/jupyterlab-manager 33 + 34 +jupyter labextension install jupyter-matplotlib 35 +))) 36 +))) 37 + 38 +Then, to install the tvb-widgets library, just type: 39 + 40 +(% class="box" %) 41 +((( 42 +pip install tvb-widgets 43 +))) 44 + 45 + 46 +== API usage == 47 + 48 +First, the correct matplotlib backend must be set, which enables the interaction with the TimeSeries widget, by running the following command: 49 + 50 +(% class="box" %) 51 +((( 52 +%matplotlib widget 53 +))) 54 + 55 + Then, the TimeSeries widget (from the tvb-widgets API) and the display function should be imported: 56 + 57 +(% class="box" %) 58 +((( 59 +from tvbwidgets.api import TimeSeriesWidget 4 4 from IPython.core.display_functions import display 5 -tw = TimeseriesWidget(...) 6 -display(tw.get_widget()) 7 - 61 +))) 62 + 63 +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): 64 + 65 +(% class="box" %) 66 +((( 67 +tsw = TimeSeriesWidget() 68 +tsw.add_datatype(tsr) 69 +))) 70 + 71 +Finally, to display and interact with the TimeSeries widget, the **//get_widget//**// //method is used inside the //**display **//function: 72 + 73 +(% class="box" %) 74 +((( 75 +display(tsw.get_widget()) 76 +))) 77 + 8 8 {{html}} 9 -<iframe src="https://drive.google.com/file/d/1 mPqBEjEkyn4ziR-qCdmjq6s24QqqNNOV/preview" width="640" height="480" allow="autoplay"></iframe>79 +<iframe src="https://drive.google.com/file/d/1g4ryY1VIFMUD14Mb6Dq_KVb0b2_XU4VX/preview" width="840" height="480" allow="autoplay"></iframe> 10 10 {{/html}} 11 - 12 -
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