--- jupyter: jupytext: notebook_metadata_filter: all text_representation: extension: .md format_name: markdown format_version: '1.1' jupytext_version: 1.1.7 kernelspec: display_name: Python 3 language: python name: python3 language_info: codemirror_mode: name: ipython version: 3 file_extension: .py mimetype: text/x-python name: python nbconvert_exporter: python pygments_lexer: ipython3 version: 3.6.5 plotly: description: Introduction to the new Plotly FigureWidget display_as: chart_events language: python layout: base name: Plotly FigureWidget Overview order: 0 page_type: example_index permalink: python/figurewidget/ thumbnail: thumbnail/figurewidget-overview.gif --- #### Create a Simple FigureWidget Create an empty FigureWidget and then view it. ```python import plotly.graph_objects as go f = go.FigureWidget() f ``` Add traces or update the layout and then watch the output above update in real time. ```python f.add_scatter(y=[2, 1, 4, 3]); ``` ```python f.add_bar(y=[1, 4, 3, 2]); ``` ```python f.layout.title = 'Hello FigureWidget' ``` #### Update the Data and the Layout ```python # update scatter data scatter = f.data[0] scatter.y = [3, 1, 4, 3] ``` ```python # update bar data bar = f.data[1] bar.y = [5, 3, 2, 8] ``` ```python f.layout.title.text = 'This is a new title' ``` #### Construct a FigureWidget from a Figure graph object A standard `Figure` object can be passed to the `FigureWidget` constructor. ```python import plotly.graph_objects as go trace = go.Heatmap(z=[[1, 20, 30, 50, 1], [20, 1, 60, 80, 30], [30, 60, 1, -10, 20]], x=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'], y=['Morning', 'Afternoon', 'Evening']) data=[trace] layout = go.Layout(title='Activity Heatmap') figure = go.Figure(data=data, layout=layout) f2 = go.FigureWidget(figure) f2 ``` #### Reference See [these Jupyter notebooks](https://github.com/jonmmease/plotly_ipywidget_notebooks) for even more FigureWidget examples. ```python help(go.FigureWidget) ```