.. Comment: this file is automatically generated by `update_example_docs.py`.
   It should not be modified manually.

Plotly
==========================================


Examples of visualizing plotly plots in Viser.



.. code-block:: python
        :linenos:


        import time

        import numpy as np
        import plotly.express as px
        import plotly.graph_objects as go
        from PIL import Image

        import viser


        def create_sinusoidal_wave(t: float) -> go.Figure:
            """Create a sinusoidal wave plot, starting at time t."""
            x_data = np.linspace(t, t + 6 * np.pi, 50)
            y_data = np.sin(x_data) * 10

            fig = px.line(
                x=list(x_data),
                y=list(y_data),
                labels={"x": "x", "y": "sin(x)"},
                title="Sinusoidal Wave",
            )

            # this sets the margins to be tight around the title.
            fig.layout.title.automargin = True  # type: ignore
            fig.update_layout(
                margin=dict(l=20, r=20, t=20, b=20),
            )  # Reduce plot margins.

            return fig


        def main() -> None:
            server = viser.ViserServer()

            # Plot type 1: Line plot.
            line_plot_time = 0.0
            line_plot = server.gui.add_plotly(figure=create_sinusoidal_wave(line_plot_time))

            # Plot type 2: Image plot.
            fig = px.imshow(Image.open("assets/Cal_logo.png"))
            fig.update_layout(
                margin=dict(l=20, r=20, t=20, b=20),
            )
            server.gui.add_plotly(figure=fig, aspect=1.0)

            # Plot type 3: 3D Scatter plot.
            fig = px.scatter_3d(
                px.data.iris(),
                x="sepal_length",
                y="sepal_width",
                z="petal_width",
                color="species",
            )
            fig.update_layout(legend=dict(yanchor="top", y=0.99, xanchor="left", x=0.01))
            fig.update_layout(
                margin=dict(l=20, r=20, t=20, b=20),
            )
            server.gui.add_plotly(figure=fig, aspect=1.0)

            while True:
                # Update the line plot.
                line_plot_time += 0.1
                line_plot.figure = create_sinusoidal_wave(line_plot_time)

                time.sleep(0.01)


        if __name__ == "__main__":
            main()