> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# How do I add Plotly or Bokeh Charts into Tables?

Direct integration of Plotly or Bokeh figures into tables isn't supported. Instead, export the figures to HTML and include the HTML in the table. The following examples show how to do this with interactive Plotly and Bokeh charts.

<Tabs>
  <Tab title="Plotly">
    ```python theme={null}
    import wandb
    import plotly.express as px

    # Initialize a new run
    with wandb.init(project="log-plotly-fig-tables", name="plotly_html") as run:

        # Create a table
        table = wandb.Table(columns=["plotly_figure"])

        # Define path for Plotly figure
        path_to_plotly_html = "./plotly_figure.html"

        # Create a Plotly figure
        fig = px.scatter(x=[0, 1, 2, 3, 4], y=[0, 1, 4, 9, 16])

        # Export Plotly figure to HTML
        # Setting auto_play to False prevents animated Plotly charts from playing automatically
        fig.write_html(path_to_plotly_html, auto_play=False)

        # Add Plotly figure as HTML file to the table
        table.add_data(wandb.Html(path_to_plotly_html))

        # Log Table
        run.log({"test_table": table})

    ```
  </Tab>

  <Tab title="Bokeh">
    ```python theme={null}
    from scipy.signal import spectrogram
    import holoviews as hv
    import panel as pn
    from scipy.io import wavfile
    import numpy as np
    from bokeh.resources import INLINE

    hv.extension("bokeh", logo=False)
    import wandb

    def save_audio_with_bokeh_plot_to_html(audio_path, html_file_name):
        sr, wav_data = wavfile.read(audio_path)
        duration = len(wav_data) / sr
        f, t, sxx = spectrogram(wav_data, sr)
        spec_gram = hv.Image((t, f, np.log10(sxx)), ["Time (s)", "Frequency (Hz)"]).opts(
            width=500, height=150, labelled=[]
        )
        audio = pn.pane.Audio(wav_data, sample_rate=sr, name="Audio", throttle=500)
        slider = pn.widgets.FloatSlider(end=duration, visible=False)
        line = hv.VLine(0).opts(color="white")
        slider.jslink(audio, value="time", bidirectional=True)
        slider.jslink(line, value="glyph.location")
        combined = pn.Row(audio, spec_gram * line, slider).save(html_file_name)

    html_file_name = "audio_with_plot.html"
    audio_path = "hello.wav"
    save_audio_with_bokeh_plot_to_html(audio_path, html_file_name)

    wandb_html = wandb.Html(html_file_name)
    with wandb.init(project="audio_test") as run:
        my_table = wandb.Table(columns=["audio_with_plot"], data=[[wandb_html], [wandb_html]])
        run.log({"audio_table": my_table})
    ```
  </Tab>
</Tabs>

***

<Badge stroke shape="pill" color="orange" size="md">[Experiments](/support/models/tags/experiments)</Badge><Badge stroke shape="pill" color="orange" size="md">[Tables](/support/models/tags/tables)</Badge><Badge stroke shape="pill" color="orange" size="md">[Charts](/support/models/tags/charts)</Badge>