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    To move or synchronize all subplots in Plotly (e.g., for zooming, panning, or aligning axes), you can use specific configurations to link their axes. Below are two effective methods to achieve this.

    1. Use shared_xaxes in make_subplots

    This method links the x-axes of all subplots, ensuring they move together when zooming or panning.

    Steps:

    1. Create subplots using make_subplots with the shared_xaxes=True parameter.

    2. Add your traces to the subplots.

    3. Update the layout as needed.

    Example:

    from plotly.subplots import make_subplots
    import plotly.graph_objects as go

    # Create subplots with shared x-axes
    fig = make_subplots(rows=3, cols=1, shared_xaxes=True)

    # Add traces to each subplot
    fig.add_trace(go.Scatter(x=[1, 2, 3], y=[4, 5, 6]), row=1, col=1)
    fig.add_trace(go.Scatter(x=[1, 2, 3], y=[6, 7, 8]), row=2, col=1)
    fig.add_trace(go.Scatter(x=[1, 2, 3], y=[8, 9, 10]), row=3, col=1)

    # Update layout
    fig.update_layout(height=600, width=800, title_text="Shared X-Axes Example")
    fig.show()
    Copied!

    2. Use update_xaxes(matches='x')

    How to build multiple graphs as subplots in Plotly using Python?

    Here, we parsed a Python tuple containing the titles of each plot to the argument. Then in the add_trace() function, we specified on which row and in which column in the grid we wanted each plot to be. As you have seen, it is very simple and easy to build multiple graphs as subplots in plotly using Python.

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    https://blog.finxter.com/5-best-ways-to-plot-multiple-figures-as-subplot…
    5 Best Ways to Plot Multiple Figures as Subplots in Python Plotly
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