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26	26	* **Libraries:**
27	27	** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
28	28	* (((
29		-**Extensions:**
	29	+**Extensions:***
30	30
31	31	(% class="box" %)
32	32	(((
33		-jupyter labextension install @jupyter-widgets/jupyterlab-manager
34		-
35		-jupyter labextension install jupyter-matplotlib
	33	+{{{jupyter labextension install @jupyter-widgets/jupyterlab-manager\}}}
36	36	)))
37		-)))
38	38
39		-Then, to install the tvb-widgets library, just type:
40		-
41		-(% class="box" %)
	36	+* (% class="box" %)
42	42	(((
43		-pip install tvb-widgets
	38	+{{{jupyter labextension install jupyter-matplotlib}}}
44	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	54	)))
55	55
56		- Then, the TimeSeries widget (from the tvb-widgets API) and the display function should be imported:
	42	+Then, to install the tvb-widgets library just type:
57	57
58	58	(% class="box" %)
59	59	(((
60		-from tvbwidgets.api import TimeSeriesWidget
61		-from IPython.core.display_functions import display
	46	+pip install tvb-widgets
62	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		-)))

image-20220412103041-1.png

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1		-XWiki.rominabaila

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