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...	...	@@ -75,25 +75,28 @@
75	75	%matplotlib widget
76	76	)))
77	77
78		-Then, simply import the **plot_timeseries** method, which gives you access to the TS widget:
	78	+ Then, the **TimeSeriesWidget** (from the tvb-widgets API) and the **//display//** function should be imported:
79	79
80	80	(% class="box" %)
81	81	(((
82		-from tvbwidgets.api import plot_timeseries
	82	+from tvbwidgets.api import TimeSeriesWidget
	83	+from IPython.core.display_functions import display
83	83	)))
84	84
	86	+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):
85	85
86		-Assuming that the user has already created or imported a valid input, this is how the widget can be initialized and displayed (example below assumes that **tsr  **is a TVB TimeSeries datatype):
87		-
88	88	(% class="box" %)
89	89	(((
90		-backend = 'plotly' # change to 'matplotlib' to see the other TS widget
91		-
92		-plot_timeseries(data=tsr, backend=backend)
	90	+tsw = TimeSeriesWidget()
	91	+tsw.add_datatype(tsr)
93	93	)))
94	94
95		-After running the code from above into a Jupyter cell, you should see the TS widget corresponding to the backend you selected.
	94	+Finally, to display and interact with the TimeSeries widget, the **//get_widget//**// //method is used inside the //**display **//function:
96	96
	96	+(% class="box" %)
	97	+(((
	98	+display(tsw)
	99	+)))
97	97
98	98	{{html}}
99	99	<iframe width="840" height="480" src="https://www.youtube.com/embed/VmueiXMxbVk" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>